Yoshua Bengio

发表

HeMIS: Hetero-Modal Image Segmentation

Mohammad Havaei, Nicolas Guizard, Nicolas Chapados, 2016, MICCAI.

Torchmeta: A Meta-Learning library for PyTorch pdf

Yoshua Bengio, Tristan Deleu, Tobias Würfl, 2019, ArXiv.

Bias learning, knowledge sharing

Yoshua Bengio, Joumana Ghosn, Yoshua Bengio, 2003, IEEE Trans. Neural Networks.

Deep Directed Generative Models with Energy-Based Probability Estimation pdf

Yoshua Bengio, Taesup Kim, Yoshua Bengio, 2016, ArXiv.

Tackling Climate Change with Machine Learning pdf

Yoshua Bengio, Demis Hassabis, David Rolnick, 2019, ACM Comput. Surv..

Speech and Speaker Recognition from Raw Waveform with SincNet pdf

Yoshua Bengio, Mirco Ravanelli, 2018, ArXiv.

Learning to Understand Phrases by Embedding the Dictionary

Yoshua Bengio, Felix Hill, Kyunghyun Cho, 2015, TACL.

Interpretable Convolutional Filters with SincNet pdf

Yoshua Bengio, Mirco Ravanelli, 2018, ArXiv.

A Neural Support Vector Network architecture with adaptive kernels

Pascal Vincent, Yoshua Bengio, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Guest Introduction: Special Issue on New Methods for Model Selection and Model Combination

Dale Schuurmans, Yoshua Bengio, Yoshua Bengio, 2002, Machine Learning.

Fortified Networks: Improving the Robustness of Deep Networks by Modeling the Manifold of Hidden Representations pdf

Ioannis Mitliagkas, Sandeep Subramanian, Yoshua Bengio, 2018, ArXiv.

Phonetically motivated acoustic parameters for continuous speech recognition using artificial neural networks

Yoshua Bengio, Renato De Mori, Ralf Kompe, 1991, Speech Commun..

An Actor-Critic Algorithm for Structured Prediction

Joelle Pineau, Yoshua Bengio, Anirudh Goyal, 2016 .

Denoising Criterion for Variational Auto-Encoding Framework pdf

Yoshua Bengio, Daniel Jiwoong Im, Roland Memisevic, 2015, AAAI.

Multimodal Transitions for Generative Stochastic Networks pdf

Li Yao, Yoshua Bengio, Sherjil Ozair, 2013, ICLR.

BigBrain: 1D convolutional neural networks for automated sementation of cortical layers

Yoshua Bengio, Joseph Paul Cohen, Alan C. Evans, 2018 .

Wasserstein Dependency Measure for Representation Learning

Sergey Levine, Yoshua Bengio, Pierre Sermanet, 2019, NeurIPS.

Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks pdf

Ying Zhang, Yoshua Bengio, Aaron C. Courville, 2016, INTERSPEECH.

FigureQA: An Annotated Figure Dataset for Visual Reasoning pdf

Yoshua Bengio, Samira Ebrahimi Kahou, Adam Atkinson, 2017, ICLR.

Weakly-supervised Knowledge Graph Alignment with Adversarial Learning pdf

Yoshua Bengio, Jian Tang, Meng Qu, 2019, ArXiv.

Speaker Independent Speech Recognition with Neural Networks and Speech Knowledge

Yoshua Bengio, Renato De Mori, Régis Cardin, 1989, NIPS.

Metric-based model selection for time-series forecasting

Nicolas Chapados, Yoshua Bengio, Yoshua Bengio, 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.

Training Bidirectional Helmholtz Machines

Yoshua Bengio, Jörg Bornschein, Asja Fischer, 2015 .

Generative Adversarial Nets

Yoshua Bengio, Aaron C. Courville, Bing Xu, 2014, NIPS.

Dynamic Neural Turing Machine with Soft and Hard Addressing Schemes pdf

Yoshua Bengio, Kyunghyun Cho, A. P. Sarath Chandar, 2016, ArXiv.

Maxout Networks

Yoshua Bengio, Aaron C. Courville, Ian J. Goodfellow, 2013, ICML.

Multi-Prediction Deep Boltzmann Machines

Yoshua Bengio, Aaron C. Courville, Ian J. Goodfellow, 2013, NIPS.

Implicit Density Estimation by Local Moment Matching to Sample from Auto-Encoders pdf

Yoshua Bengio, Guillaume Alain, Salah Rifai, 2012, ArXiv.

Reweighted Wake-Sleep pdf

Yoshua Bengio, Jörg Bornschein, Yoshua Bengio, 2014, ICLR.

Brain Inspired Reinforcement Learning

Yoshua Bengio, François Rivest, John Kalaska, 2004, NIPS.

Graph-Based Semi-Supervised Learning

Nicolas Le Roux, Yoshua Bengio, Olivier Delalleau, 2005 .

Measuring the tendency of CNNs to Learn Surface Statistical Regularities pdf

Yoshua Bengio, Jason Jo, Yoshua Bengio, 2017, ArXiv.

Non-Local Manifold Parzen Windows

Pascal Vincent, Yoshua Bengio, Hugo Larochelle, 2005, NIPS.

Learning deep representations by mutual information estimation and maximization pdf

Yoshua Bengio, Adam Trischler, R. Devon Hjelm, 2018, ICLR.

On integrating a language model into neural machine translation

Yoshua Bengio, Orhan Firat, Kyunghyun Cho, 2017, Comput. Speech Lang..

How to Initialize your Network? Robust Initialization for WeightNorm & ResNets

Yoshua Bengio, Devansh Arpit, Victor Campos, 2019, NeurIPS.

LeRec: A NN/HMM Hybrid for On-Line Handwriting Recognition

Yoshua Bengio, Yann LeCun, Christopher J. C. Burges, 1995, Neural Computation.

Advances in Neural Information Processing Systems 20, Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 3-6, 2007

Dale Schuurmans, Yoshua Bengio, Léon Bottou, 2008, NIPS.

Commonsense mining as knowledge base completion? A study on the impact of novelty pdf

Jackie Chi Kit Cheung, Yoshua Bengio, Michael Noukhovitch, 2018, ArXiv.

Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism pdf

Yoshua Bengio, Orhan Firat, Kyunghyun Cho, 2016, NAACL.

A Deep Reinforcement Learning Chatbot pdf

Joelle Pineau, Sandeep Subramanian, Michael Pieper, 2017, ArXiv.

Learning Problem-agnostic Speech Representations from Multiple Self-supervised Tasks

Yoshua Bengio, Antonio Bonafonte, Mirco Ravanelli, 2019, INTERSPEECH.

State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations pdf

Ioannis Mitliagkas, Sandeep Subramanian, Yoshua Bengio, 2019, ICML.

Plan, Attend, Generate: Planning for Sequence-to-Sequence Models

Yoshua Bengio, Francis Dutil, Adam Trischler, 2017, NIPS.

The Journey is the Reward: Unsupervised Learning of Influential Trajectories pdf

Yoshua Bengio, Jonathan Binas, Sherjil Ozair, 2019, ArXiv.

The representational geometry of word meanings acquired by neural machine translation models

Yoshua Bengio, Felix Hill, Kyunghyun Cho, 2017, Machine Translation.

Generalization of a Parametric Learning Rule

Samy Bengio, Yoshua Bengio, Jan Gecsei, 1993 .

MetaGAN: An Adversarial Approach to Few-Shot Learning

Yoshua Bengio, Zoubin Ghahramani, Yangqiu Song, 2018, NeurIPS.

Variational Temporal Abstraction

Yoshua Bengio, Taesup Kim, Sungjin Ahn, 2019, NeurIPS.

A Hierarchical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion

Jakob Grue Simonsen, Christina Lioma, Yoshua Bengio, 2015, CIKM.

Statistical Machine Learning Algorithms for Target Classification from Acoustic Signature

Nicolas Chapados, Yoshua Bengio, Vincent Mirelli, 2009 .

Context-dependent word representation for neural machine translation

Yoshua Bengio, Kyunghyun Cho, Heeyoul Choi, 2016, Comput. Speech Lang..

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

Yoshua Bengio, Ruslan Salakhutdinov, Richard S. Zemel, 2015, ICML.

Predicting Solution Summaries to Integer Linear Programs under Imperfect Information with Machine Learning pdf

Yoshua Bengio, Andrea Lodi, Emma Frejinger, 2018, ArXiv.

A Character-level Decoder without Explicit Segmentation for Neural Machine Translation pdf

Yoshua Bengio, Kyunghyun Cho, Junyoung Chung, 2016, ACL.

Drawing and Recognizing Chinese Characters with Recurrent Neural Network

Yoshua Bengio, Fei Yin, Cheng-Lin Liu, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Learning Neural Causal Models from Unknown Interventions pdf

Yoshua Bengio, Hugo Larochelle, Anirudh Goyal, 2019, ArXiv.

Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models pdf

Xiaofeng Liu, Tong Che, Yoshua Bengio, 2019, AAAI.

Light Gated Recurrent Units for Speech Recognition

Yoshua Bengio, Maurizio Omologo, Mirco Ravanelli, 2018, IEEE Transactions on Emerging Topics in Computational Intelligence.

Manifold Mixup: Better Representations by Interpolating Hidden States

Ioannis Mitliagkas, Yoshua Bengio, David Lopez-Paz, 2018, ICML.

A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies

Yoshua Bengio, Liam Paull, Zihan Wang, 2018, 2019 International Conference on Robotics and Automation (ICRA).

On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length

Yoshua Bengio, Amos Storkey, Asja Fischer, 2018, ICLR.

Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future pdf

Yoshua Bengio, Amanpreet Singh, Anirudh Goyal, 2019, ArXiv.

Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition

Ying Zhang, Titouan Parcollet, Mohamed Morchid, 2018, INTERSPEECH.

Audio Chord Recognition with Recurrent Neural Networks

Yoshua Bengio, Pascal Vincent, Nicolas Boulanger-Lewandowski, 2013, ISMIR.

Deep Generative Stochastic Networks Trainable by Backprop

Yoshua Bengio, Jason Yosinski, Guillaume Alain, 2013, ICML.

Label Propagation and Quadratic Criterion

Nicolas Le Roux, Yoshua Bengio, Olivier Delalleau, 2006, Semi-Supervised Learning.

Conditional Computation for Continual Learning pdf

Yoshua Bengio, Min Lin, Jie Fu, 2019, ArXiv.

How can deep learning advance computational modeling of sensory information processing? pdf

Yoshua Bengio, Elia Formisano, Marc Schönwiesner, 2018, ArXiv.

An Empirical Investigation of Catastrophic Forgeting in Gradient-Based Neural Networks pdf

Yoshua Bengio, Aaron C. Courville, Ian J. Goodfellow, 2013, ICLR.

Predicting COVID-19 Pneumonia Severity on Chest X-ray With Deep Learning

Yoshua Bengio, Joseph Paul Cohen, Lan Dao, 2020, Cureus.

Training End-to-End Analog Neural Networks with Equilibrium Propagation pdf

Yoshua Bengio, Jack Kendall, Ross Pantone, 2020, ArXiv.

Learning Eigenfunctions Links Spectral Embedding and Kernel PCA

Nicolas Le Roux, Pascal Vincent, Jean-François Paiement, 2004, Neural Computation.

On the Properties of Neural Machine Translation: Encoder–Decoder Approaches pdf

Yoshua Bengio, Kyunghyun Cho, Dzmitry Bahdanau, 2014, SSST@EMNLP.

An objective function for STDP pdf

Yoshua Bengio, Asja Fischer, Saizheng Zhang, 2015, ArXiv.

Learning the 2-D Topology of Images

Nicolas Le Roux, Yoshua Bengio, Balázs Kégl, 2007, NIPS.

Probabilistic Planning with Sequential Monte Carlo methods

Yoshua Bengio, Chris Pal, Cyril Ibrahim, 2018, ICLR.

Learning semantic representations of objects and their parts

Jason Weston, Yoshua Bengio, Gal Chechik, 2014, Machine Learning.

Invariant Representations for Noisy Speech Recognition pdf

Bhuvana Ramabhadran, Yoshua Bengio, Dmitriy Serdyuk, 2016, ArXiv.

Image-to-image Mapping with Many Domains by Sparse Attribute Transfer pdf

Yoshua Bengio, Smita Krishnaswamy, Matthew Amodio, 2020, CVPR 2020.

K-Local Hyperplane and Convex Distance Nearest Neighbor Algorithms

Pascal Vincent, Yoshua Bengio, Yoshua Bengio, 2001, NIPS.

Scaling up deep learning

Yoshua Bengio, 2014, KDD.

Exploring Strategies for Training Deep Neural Networks

Yoshua Bengio, Hugo Larochelle, Jérôme Louradour, 2009, J. Mach. Learn. Res..

Recurrent Independent Mechanisms pdf

Sergey Levine, Bernhard Schölkopf, Yoshua Bengio, 2019, ICLR.

Learning deep physiological models of affect

Yoshua Bengio, Georgios N. Yannakakis, Héctor Perez Martínez, 2013, IEEE Computational Intelligence Magazine.

Independently Controllable Factors pdf

Philippe Beaudoin, Joelle Pineau, Yoshua Bengio, 2017, ArXiv.

{COMPANYNAME}11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery

Yoshua Bengio, Joseph Paul Cohen, Aaron C. Courville, 2019 .

Modeling High-Dimensional Discrete Data with Multi-Layer Neural Networks

Samy Bengio, Yoshua Bengio, Yoshua Bengio, 1999, NIPS.

Meta-learning framework with applications to zero-shot time-series forecasting pdf

Nicolas Chapados, Yoshua Bengio, Boris N. Oreshkin, 2020, AAAI.

Efficient recognition of immunoglobulin domains from amino acid sequences using a neural network

Yoshua Bengio, Yannick Pouliot, Yoshua Bengio, 1990, Comput. Appl. Biosci..

On learning distributed representations of semantics

Yoshua Bengio, Yoshua Bengio, 2011, MLSLP.

Convergence Properties of the K-Means Algorithms

Yoshua Bengio, Léon Bottou, Yoshua Bengio, 1994, NIPS.

Big Data: Theoretical Aspects [Scanning the Issue]

Stephen J. Wright, Yoshua Bengio, Simon Haykin, 2016, Proc. IEEE.

ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation

Yoshua Bengio, Matteo Matteucci, Aaron C. Courville, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Disentangling the independently controllable factors of variation by interacting with the world pdf

Philippe Beaudoin, Joelle Pineau, Yoshua Bengio, 2018, ArXiv.

The need for privacy with public digital contact tracing during the COVID-19 pandemic

Yoshua Bengio, Daphne Ippolito, Abhinav Sharma, 2020, The Lancet Digital Health.

Learning Structured Embeddings of Knowledge Bases

Jason Weston, Yoshua Bengio, Antoine Bordes, 2011, AAAI.

Deep Sparse Rectifier Neural Networks

Yoshua Bengio, Antoine Bordes, Xavier Glorot, 2011, AISTATS.

Efficient EM Training of Gaussian Mixtures with Missing Data pdf

Yoshua Bengio, Aaron C. Courville, Olivier Delalleau, 2012, ArXiv.

On Multiplicative Integration with Recurrent Neural Networks

Ying Zhang, Yoshua Bengio, Ruslan Salakhutdinov, 2016, NIPS.

HighRes-net: Multi-Frame Super-Resolution by Recursive Fusion

Yoshua Bengio, Julien Cornebise, Zhichao Lin, 2019 .

Alternative time representation in dopamine models

Yoshua Bengio, François Rivest, John Kalaska, 2009, Journal of Computational Neuroscience.

Convergence Properties of Deep Neural Networks on Separable Data

Yoshua Bengio, Aaron C. Courville, Aaron Courville, 2018 .

Establishing an evaluation metric to quantify climate change image realism pdf

Michael S. Bernstein, Yoshua Bengio, Alexandra Luccioni, 2019, Mach. Learn. Sci. Technol..

On the Number of Linear Regions of Deep Neural Networks

Razvan Pascanu, Yoshua Bengio, Kyunghyun Cho, 2014, NIPS.

A Neural Probabilistic Language Model

Yoshua Bengio, Pascal Vincent, Réjean Ducharme, 2003, J. Mach. Learn. Res..

Attention Based Pruning for Shift Networks pdf

Vincent Gripon, Yoshua Bengio, Ghouthi Boukli Hacene, 2019, ArXiv.

Hierarchical Memory Networks pdf

Pascal Vincent, Yoshua Bengio, Hugo Larochelle, 2016, ArXiv.

Statistical Learning Algorithms Applied to Automobile Insurance Ratemaking

Pascal Vincent, Nicolas Chapados, Yoshua Bengio, 2003 .

Online and offline handwritten Chinese character recognition: A comprehensive study and new benchmark

Yoshua Bengio, Cheng-Lin Liu, Xu-Yao Zhang, 2016, Pattern Recognit..

End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results pdf

Yoshua Bengio, Kyunghyun Cho, Dzmitry Bahdanau, 2014, ArXiv.

Learning to Compute Word Embeddings On the Fly pdf

Pascal Vincent, Yoshua Bengio, Edward Grefenstette, 2017, ArXiv.

MEMORY-EFFICIENT ADAPTIVE HUFFMAN CODING

Steven Pigeon, Yoshua Bengio, Yoshua Bengio, 1998 .

Learning Speaker Representations with Mutual Information pdf

Yoshua Bengio, Mirco Ravanelli, Yoshua Bengio, 2018, INTERSPEECH.

Learning the dynamic nature of speech with back-propagation for sequences

Yoshua Bengio, Renato De Mori, Marco Gori, 1992, Pattern Recognit. Lett..

Deep Tempering pdf

Yoshua Bengio, Aaron C. Courville, Guillaume Desjardins, 2014, ArXiv.

Neural Network - Gaussian Mixture Hybrid for Speech Recognition or Density Estimation

Yoshua Bengio, Renato De Mori, Ralf Kompe, 1991, NIPS.

Exponentially Increasing the Capacity-to-Computation Ratio for Conditional Computation in Deep Learning pdf

Yoshua Bengio, Kyunghyun Cho, Yoshua Bengio, 2014, ArXiv.

Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering

Nicolas Le Roux, Pascal Vincent, Jean-François Paiement, 2003, NIPS.

Modeling Cloud Reflectance Fields using Conditional Generative Adversarial Networks

Yoshua Bengio, Kris Sankaran, Victor Schmidt, 2020 .

A Generative Process for sampling Contractive Auto-Encoders

Yoshua Bengio, Salah Rifai, Pascal Vincent, 2012, ICML 2012.

Contextual tag inference

Razvan Pascanu, Rossano Schifanella, Douglas Eck, 2011, TOMCCAP.

Empirical performance upper bounds for image and video captioning

John R. Smith, Li Yao, Yoshua Bengio, 2015 .

Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation

Bowen Zhou, Yoshua Bengio, Kartik Talamadupula, 2016, AAAI.

Manifold Mixup: Learning Better Representations by Interpolating Hidden States

Ioannis Mitliagkas, Yoshua Bengio, Christopher Beckham, 2018, 1806.05236.

How transferable are features in deep neural networks?

Yoshua Bengio, Hod Lipson, Jason Yosinski, 2014, NIPS.

Universal Successor Representations for Transfer Reinforcement Learning pdf

Yoshua Bengio, Chen Ma, Junfeng Wen, 2018, ICLR.

Focused Hierarchical RNNs for Conditional Sequence Processing pdf

Joelle Pineau, Christopher Joseph Pal, Yoshua Bengio, 2018, ICML.

S2RMs: Spatially Structured Recurrent Modules pdf

Yoshua Bengio, Bernhard Scholkopf, Muhammad Waleed Gondal, 2020, ICLR.

Learning the Arrow of Time pdf

Yoshua Bengio, Anirudh Goyal, Steffen Wolf, 2019, ArXiv.

Practical Recommendations for Gradient-Based Training of Deep Architectures

Yoshua Bengio, Yoshua Bengio, 2012, Neural Networks: Tricks of the Trade.

Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives pdf

Sergey Levine, Yoshua Bengio, Jonathan Binas, 2019, ICLR.

Model Selection for Small Sample Regression

Yoshua Bengio, Olivier Chapelle, Vladimir Vapnik, 2002, Machine Learning.

Extracting and composing robust features with denoising autoencoders

Yoshua Bengio, Hugo Larochelle, Pascal Vincent, 2008, ICML '08.

Understanding intermediate layers using linear classifier probes pdf

Yoshua Bengio, Guillaume Alain, Yoshua Bengio, 2016, ICLR.

Toward Training Recurrent Neural Networks for Lifelong Learning

Yoshua Bengio, Shagun Sodhani, Sarath Chandar, 2018, Neural Computation.

Joint Learning of Generative Translator and Classifier for Visually Similar Classes

Yoshua Bengio, Junmo Kim, ByungIn Yoo, 2020, IEEE Access.

Diffusion of Context and Credit Information in Markovian Models pdf

Yoshua Bengio, Paolo Frasconi, Yoshua Bengio, 1995, J. Artif. Intell. Res..

Diet Networks: Thin Parameters for Fat Genomic pdf

Yoshua Bengio, Marie-Pierre Dubé, Akram Erraqabi, 2016, ArXiv.

Z-Forcing: Training Stochastic Recurrent Networks

Yoshua Bengio, Anirudh Goyal, Marc-Alexandre Côté, 2017, NIPS.

Hierarchical Probabilistic Neural Network Language Model

Yoshua Bengio, Frederic Morin, Yoshua Bengio, 2005, AISTATS.

Difference Target Propagation

Yoshua Bengio, Dong-Hyun Lee, Asja Fischer, 2014, ECML/PKDD.

Deep Learning for NLP (without Magic) References

Yoshua Bengio, Christopher D. Manning, Richard Socher, 2012 .

The K Best-Paths Approach to Approximate Dynamic Programming with Application to Portfolio Optimization

Nicolas Chapados, Yoshua Bengio, Yoshua Bengio, 2006, Canadian Conference on AI.

The effect of task and training on intermediate representations in convolutional neural networks revealed with modified RV similarity analysis pdf

Yoshua Bengio, Jessica Thompson, Marc Schoenwiesner, 2019, 2019 Conference on Cognitive Computational Neuroscience.

Deep Architectures for Baby AI

Yoshua Bengio, Yoshua Bengio, 2007 .

A Structured Self-attentive Sentence Embedding pdf

Bowen Zhou, Cícero Nogueira dos Santos, Yoshua Bengio, 2017, ICLR.

ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks pdf

Yoshua Bengio, Matteo Matteucci, Aaron C. Courville, 2015, ArXiv.

On the Spectral Bias of Deep Neural Networks pdf

Yoshua Bengio, Min Lin, Aaron C. Courville, 2018, ArXiv.

Training deep neural networks with low precision multiplications

Yoshua Bengio, Jean-Pierre David, Matthieu Courbariaux, 2014 .

Modeling the Long Term Future in Model-Based Reinforcement Learning

Yoshua Bengio, Amanpreet Singh, Anirudh Goyal, 2018, ICLR.

Towards Understanding Generalization via Analytical Learning Theory pdf

Yoshua Bengio, Kenji Kawaguchi, Yoshua Bengio, 2018, 1802.07426.

Object Recognition with Gradient-Based Learning

Yoshua Bengio, Yann LeCun, Léon Bottou, 1999, Shape, Contour and Grouping in Computer Vision.

Training Methods for Adaptive Boosting of Neural Networks

Yoshua Bengio, Holger Schwenk, Yoshua Bengio, 1997, NIPS.

CLOSURE: Assessing Systematic Generalization of CLEVR Models pdf

Yoshua Bengio, Aaron C. Courville, Timothy J. O'Donnell, 2019, ViGIL@NeurIPS.

A Generative Process for Contractive Auto-Encoders

Pascal Vincent, Yoshua Bengio, Yann Dauphin, 2012, ICML.

Hierarchical Neural Network Generative Models for Movie Dialogues pdf

Joelle Pineau, Yoshua Bengio, Aaron C. Courville, 2015, ArXiv.

Hierarchical Recurrent Neural Networks for Long-Term Dependencies

Yoshua Bengio, Salah El Hihi, Yoshua Bengio, 1995, NIPS.

Perceptual Generative Autoencoders

Yoshua Bengio, Liam Paull, Ruixiang Zhang, 2019, DGS@ICLR.

Higher Order Contractive Auto-Encoder

Pascal Vincent, Yoshua Bengio, Yann Dauphin, 2011, ECML/PKDD.

Inductive Biases for Deep Learning of Higher-Level Cognition pdf

Yoshua Bengio, Anirudh Goyal, 2020, ArXiv.

Using Recurrent Neural Networks for Slot Filling in Spoken Language Understanding

Geoffrey Zweig, Dilek Z. Hakkani-Tür, Gokhan Tur, 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing Its Gradient Estimator Bias pdf

Yoshua Bengio, Damien Querlioz, Maxence Ernoult, 2020, Frontiers in Neuroscience.

Inference for the Generalization Error

Yoshua Bengio, Claude Nadeau, Yoshua Bengio, 1999, Machine Learning.

Theano: A CPU and GPU Math Compiler in Python

Razvan Pascanu, Yoshua Bengio, Guillaume Desjardins, 2010, SciPy.

Natural Gradient Revisited

Razvan Pascanu, Yoshua Bengio, Yoshua Bengio, 2013, ICLR.

Kernel Matching Pursuit

Pascal Vincent, Yoshua Bengio, Yoshua Bengio, 2002, Machine Learning.

InfoBot: Transfer and Exploration via the Information Bottleneck pdf

Sergey Levine, Yoshua Bengio, Hugo Larochelle, 2019, ICLR.

Taking on the curse of dimensionality in joint distributions using neural networks

Samy Bengio, Yoshua Bengio, Yoshua Bengio, 2000, IEEE Trans. Neural Networks Learn. Syst..

Tractable Multivariate Binary Density Estimation and the Restricted Boltzmann Forest

Yoshua Bengio, Hugo Larochelle, Joseph P. Turian, 2010, Neural Computation.

Gated Feedback Recurrent Neural Networks pdf

Yoshua Bengio, Kyunghyun Cho, Çaglar Gülçehre, 2015, ICML.

Spectral Dimensionality Reduction

Nicolas Le Roux, Pascal Vincent, Jean-François Paiement, 2006, Feature Extraction.

COVI White Paper pdf

Yoshua Bengio, Tristan Deleu, Tegan Maharaj, 2020, ArXiv.

A Common GPU n-Dimensional Array for Python and C

Pascal Vincent, Yoshua Bengio, Arnaud Bergeron, 2011 .

ObamaNet: Photo-realistic lip-sync from text pdf

Yoshua Bengio, Kundan Kumar, Rithesh Kumar, 2017, ArXiv.

Noisy Activation Functions

Misha Denil, Yoshua Bengio, Çaglar Gülçehre, 2016, ICML.

Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription

Yoshua Bengio, Pascal Vincent, Nicolas Boulanger-Lewandowski, 2012, ICML.

Extensions to Metric-Based Model Selection

Nicolas Chapados, Yoshua Bengio, Yoshua Bengio, 2003, J. Mach. Learn. Res..

Challenges in representation learning: A report on three machine learning contests

Yoshua Bengio, John Shawe-Taylor, Dumitru Erhan, 2013, Neural Networks.

Use of Multi-Layered Networks for Coding Speech with Phonetic Features

Piero Cosi, Yoshua Bengio, Renato De Mori, 1988, NIPS.

Improving First and Second-Order Methods by Modeling Uncertainty

Nicolas Le Roux, Yoshua Bengio, Andrew Fitzgibbon, 2010 .

Feedforward Initialization for Fast Inference of Deep Generative Networks is biologically plausible pdf

Yoshua Bengio, Walter Senn, Olexa Bilaniuk, 2016, ArXiv.

Reassuring and Troubling Views on Graph-Based Semi-Supervised Learning

Nicolas Le Roux, Yoshua Bengio, Olivier Delalleau, 2005 .

On the Morality of Artificial Intelligence pdf

Yoshua Bengio, Alexandra Luccioni, Yoshua Bengio, 2019, IEEE Technol. Soc. Mag..

Learning Anonymized Representations with Adversarial Neural Networks pdf

Yoshua Bengio, Pierre Duhamel, Pablo Piantanida, 2018, ArXiv.

Experience Grounds Language pdf

Jacob Andreas, Yoshua Bengio, Yonatan Bisk, 2020, EMNLP.

Maximum-Likelihood Augmented Discrete Generative Adversarial Networks pdf

Yoshua Bengio, Yangqiu Song, Wenjie Li, 2017, ArXiv.

Unsupervised Learning of Semantics of Object Detections for Scene Categorization

Pascal Vincent, Yoshua Bengio, Antoine Bordes, 2013, ICPRAM.

Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models

Joelle Pineau, Yoshua Bengio, Aaron C. Courville, 2015, AAAI.

On the Iterative Refinement of Densely Connected Representation Levels for Semantic Segmentation

Yoshua Bengio, Adriana Romero, Guillem Cucurull, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

A deep learning framework for neuroscience

Surya Ganguli, Yoshua Bengio, Claudia Clopath, 2019, Nature Neuroscience.

How Auto-Encoders Could Provide Credit Assignment in Deep Networks via Target Propagation pdf

Yoshua Bengio, Yoshua Bengio, 2014, ArXiv.

Reinforced Imitation in Heterogeneous Action Space pdf

Yoshua Bengio, Sungjin Ahn, Pedro H. O. Pinheiro, 2019, ArXiv.

Large-Scale Algorithms

Nicolas Le Roux, Yoshua Bengio, Olivier Delalleau, 2006, Semi-Supervised Learning.

Attention-Based Models for Speech Recognition

Yoshua Bengio, Kyunghyun Cho, Dmitriy Serdyuk, 2015, NIPS.

Learning Algorithms for the Classification Restricted Boltzmann Machine

Razvan Pascanu, Yoshua Bengio, Michael I. Mandel, 2012, J. Mach. Learn. Res..

On the Morality of Artificial Intelligence [Commentary]

Yoshua Bengio, Alexandra Luccioni, 2020, IEEE Technol. Soc. Mag..

Theano: Deep Learning on GPUs with Python

Razvan Pascanu, Ian Goodfellow, Yoshua Bengio, 2012 .

EmoNets: Multimodal deep learning approaches for emotion recognition in video

Christopher Joseph Pal, Yoshua Bengio, Yann Dauphin, 2015, Journal on Multimodal User Interfaces.

A Highly Adaptive Acoustic Model for Accurate Multi-dialect Speech Recognition

Yoshua Bengio, Sanghyun Yoo, Inchul Song, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On the Expressive Power of Deep Architectures

Yoshua Bengio, Olivier Delalleau, 2011, ALT.

Justifying and Generalizing Contrastive Divergence

Yoshua Bengio, Olivier Delalleau, Yoshua Bengio, 2009, Neural Computation.

A Spike and Slab Restricted Boltzmann Machine

Yoshua Bengio, Aaron C. Courville, James Bergstra, 2011, AISTATS.

Building Musically-relevant Audio Features through Multiple Timescale Representations

Douglas Eck, Yoshua Bengio, Philippe Hamel, 2012, ISMIR.

An empirical evaluation of deep architectures on problems with many factors of variation

Yoshua Bengio, Dumitru Erhan, Hugo Larochelle, 2007, ICML '07.

Quadratic Features and Deep Architectures for Chunking

Yoshua Bengio, James Bergstra, Joseph P. Turian, 2009, NAACL.

Towards End-to-end Spoken Language Understanding

Yongqiang Wang, Yoshua Bengio, Dmitriy Serdyuk, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Combined Reinforcement Learning via Abstract Representations

Joelle Pineau, Yoshua Bengio, Doina Precup, 2018, AAAI.

USE OF NEURAL NETWORKS FOR THE RECOGNITION OF PLACE

Yoshua Bengio, Renato De Mori, 1988 .

Unsupervised State Representation Learning in Atari

Yoshua Bengio, Ankesh Anand, Marc-Alexandre Côté, 2019, NeurIPS.

Hybrid Models for Learning to Branch pdf

Yoshua Bengio, Prateek Gupta, M. Pawan Kumar, 2020, NeurIPS.

Saliency is a Possible Red Herring When Diagnosing Poor Generalization

Yoshua Bengio, Joseph Paul Cohen, Francis Dutil, 2019 .

BilBOWA: Fast Bilingual Distributed Representations without Word Alignments pdf

Yoshua Bengio, Gregory S. Corrado, Stephan Gouws, 2014, ICML.

On the Spectral Bias of Neural Networks

Yoshua Bengio, Min Lin, Aaron C. Courville, 2018, ICML.

Big Neural Networks Waste Capacity pdf

Yoshua Bengio, Yann Dauphin, Yoshua Bengio, 2013, ICLR.

Shallow vs. Deep Sum-Product Networks

Yoshua Bengio, Olivier Delalleau, Yoshua Bengio, 2011, NIPS.

Towards more hardware-friendly deep learning

Yoshua Bengio, Yoshua Bengio, 2017, TiML '17.

Theano: new features and speed improvements pdf

Razvan Pascanu, Yoshua Bengio, Ian J. Goodfellow, 2012, ArXiv.

Deep convolutional networks for quality assessment of protein folds

Yoshua Bengio, Sergei Grudinin, Guillaume Lamoureux, 2018, Bioinform..

Image Segmentation by Iterative Inference from Conditional Score Estimation pdf

Yoshua Bengio, Akram Erraqabi, Adriana Romero, 2017, ArXiv.

A memory-efficient adaptive Huffman coding algorithm for very large sets of symbols

Steven Pigeon, Yoshua Bengio, Yoshua Bengio, 1998, Proceedings DCC '98 Data Compression Conference (Cat. No.98TB100225).

Texture Modeling with Convolutional Spike-and-Slab RBMs and Deep Extensions

Yoshua Bengio, Aaron C. Courville, Heng Luo, 2012, AISTATS.

Scaling Large Learning Problems with Hard Parallel Mixtures

Samy Bengio, Yoshua Bengio, Ronan Collobert, 2002, SVM.

Mollifying Networks pdf

Yoshua Bengio, Francesco Visin, Çaglar Gülçehre, 2016, ICLR.

Deep Learning for NLP (without Magic)

Yoshua Bengio, Christopher D. Manning, Richard Socher, 2012, ACL.

The effects of negative adaptation in Model-Agnostic Meta-Learning pdf

Yoshua Bengio, Tristan Deleu, Yoshua Bengio, 2018, ArXiv.

Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims pdf

Peter Henderson, Yoshua Bengio, Ben Laurie, 2020, ArXiv.

A Neural Network to Detect Homologies in Proteins

Samy Bengio, Yoshua Bengio, Yannick Pouliot, 1989, NIPS.

Equivalence of Equilibrium Propagation and Recurrent Backpropagation

Yoshua Bengio, Benjamin Scellier, Yoshua Bengio, 2017, Neural Computation.

BabyAI: First Steps Towards Grounded Language Learning With a Human In the Loop

Yoshua Bengio, Dzmitry Bahdanau, Thien Huu Nguyen, 2018, ArXiv.

Training opposing directed models using geometric mean matching pdf

Yoshua Bengio, Jörg Bornschein, Asja Fischer, 2015, ArXiv.

Convolutional networks for images, speech, and time series

Yoshua Bengio, Yann LeCun, Yoshua Bengio, 1998 .

On Catastrophic Interference in Atari 2600 Games pdf

Yoshua Bengio, Hugo Larochelle, Marc G. Bellemare, 2020, ArXiv.

Bayesian Model-Agnostic Meta-Learning

Yoshua Bengio, Taesup Kim, Sungwoong Kim, 2018, NeurIPS.

Scaling learning algorithms towards AI

Yoshua Bengio, Yann LeCun, Yoshua Bengio, 2007 .

Zero-data Learning of New Tasks

Yoshua Bengio, Dumitru Erhan, Hugo Larochelle, 2008, AAAI.

Towards Open-Text Semantic Parsing via Multi-Task Learning of Structured Embeddings pdf

Jason Weston, Yoshua Bengio, Antoine Bordes, 2011, ArXiv.

An EM Algorithm for Asynchronous Input/Output Hidden Markov Models

Samy Bengio, Yoshua Bengio, Yoshua Bengio, 1996 .

ReSeg: A Recurrent Neural Network for Object Segmentation pdf

Yoshua Bengio, Matteo Matteucci, Aaron C. Courville, 2015, ArXiv.

Disentangling Factors of Variation for Facial Expression Recognition

Pascal Vincent, Yoshua Bengio, Aaron C. Courville, 2012, ECCV.

Three Factors Influencing Minima in SGD pdf

Yoshua Bengio, Amos J. Storkey, Stanislaw Jastrzebski, 2017, ArXiv.

Equilibrium Propagation with Continual Weight Updates pdf

Yoshua Bengio, Damien Querlioz, Maxence Ernoult, 2019, ArXiv.

Word Representations: A Simple and General Method for Semi-Supervised Learning

Yoshua Bengio, Lev-Arie Ratinov, Joseph P. Turian, 2010, ACL.

GMNN: Graph Markov Neural Networks pdf

Yoshua Bengio, Jian Tang, Meng Qu, 2019, ICML.

Topmoumoute Online Natural Gradient Algorithm

Nicolas Le Roux, Yoshua Bengio, Pierre-Antoine Manzagol, 2007, NIPS.

BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization pdf

Vincent Gripon, Yoshua Bengio, Andreas Moshovos, 2020, ArXiv.

Non-Local Manifold Tangent Learning

Yoshua Bengio, Martin Monperrus, Yoshua Bengio, 2004, NIPS.

Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks pdf

Christopher Joseph Pal, Yoshua Bengio, Jonathan Binas, 2017, ArXiv.

The Spike-and-Slab RBM and Extensions to Discrete and Sparse Data Distributions

Yoshua Bengio, Aaron C. Courville, Guillaume Desjardins, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

On-line handwriting recognition with neural networks: Spatial representation versus temporal representation

Yoshua Bengio, Yann LeCun, L. D. Jackel, 1993 .

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Yoshua Bengio, François Bélisle, Charles Dugas, 2022 .

Data-Driven Execution of Multi-Layered Networks for Automatic Speech Recognition

Yoshua Bengio, Renato De Mori, Régis Cardin, 1988, AAAI.

Greedy Spectral Embedding

Yoshua Bengio, Marie Ouimet, Yoshua Bengio, 2005, AISTATS.

Pattern Recognition and Neural Networks

Yoshua Bengio, Yann LeCun, Yoshua Bengio, 1995 .

Beyond Skill Rating: Advanced Matchmaking in Ghost Recon Online

Yoshua Bengio, Olivier Delalleau, Frank Zhang, 2012, IEEE Transactions on Computational Intelligence and AI in Games.

Autotagging music with conditional restricted Boltzmann machines pdf

Razvan Pascanu, Yoshua Bengio, Michael I. Mandel, 2011, ArXiv.

Equivalence of Equilibrium Propagation and Recurrent Backpropagation

Yoshua Bengio, Benjamin Scellier, Yoshua Bengio, 2017, Neural Computation.

Towards the Latent Transcriptome pdf

Yoshua Bengio, Joseph Paul Cohen, Francis Dutil, 2018, ArXiv.

Boundary-Seeking Generative Adversarial Networks pdf

Yoshua Bengio, Kyunghyun Cho, R. Devon Hjelm, 2017, ICLR 2017.

Deep Belief Networks Are Compact Universal Approximators

Nicolas Le Roux, Yoshua Bengio, Yoshua Bengio, 2010, Neural Computation.

Discriminative feature and model design for automatic speech recognition

Yoshua Bengio, Yann LeCun, Mazin G. Rahim, 1997, EUROSPEECH.

Deep Learning of Representations: Looking Forward pdf

Yoshua Bengio, Yoshua Bengio, 2013, SLSP.

Yoshua Bengio, James Bergstra, Yoshua Bengio, 2009, NIPS.

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning pdf

Yoshua Bengio, Bernhard Scholkopf, Stefan Bauer, 2020, ICLR.

Predicting ice flow using machine learning pdf

Yoshua Bengio, S. Karthik Mukkavilli, Yimeng Min, 2019, ArXiv.

Input decay: simple and effective soft variable selection

Nicolas Chapados, Yoshua Bengio, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Sharp Minima Can Generalize For Deep Nets

Razvan Pascanu, Samy Bengio, Yoshua Bengio, 2017, ICML.

Locally Linear Embedding for dimensionality reduction in QSAR

Yoshua Bengio, Olivier Delalleau, Julie Carreau, 2004, J. Comput. Aided Mol. Des..

Manifold Mixup: Encouraging Meaningful On-Manifold Interpolation as a Regularizer pdf

Ioannis Mitliagkas, Yoshua Bengio, Christopher Beckham, 2018, ArXiv.

Towards Standardization of Data Licenses: The Montreal Data License pdf

Christopher Joseph Pal, Yoshua Bengio, Negar Rostamzadeh, 2019, ArXiv.

Ensemble of Generative and Discriminative Techniques for Sentiment Analysis of Movie Reviews

Marc'Aurelio Ranzato, Yoshua Bengio, Tomas Mikolov, 2014, ICLR.

InfoBot: Structured Exploration in ReinforcementLearning Using Information Bottleneck

Sergey Levine, Yoshua Bengio, Hugo Larochelle, 2019 .

Target Propagation pdf

Yoshua Bengio, Dong-Hyun Lee, Saizheng Zhang, 2015, ICLR.

Hyperbolic Discounting and Learning over Multiple Horizons pdf

Yoshua Bengio, Hugo Larochelle, Marc G. Bellemare, 2019, ArXiv.

Interactive Language Learning by Question Answering pdf

Christopher Joseph Pal, Yoshua Bengio, Jie Fu, 2019, EMNLP.

Feature-wise transformations

Yoshua Bengio, Aaron C. Courville, Aaron Courville, 2018, Distill.

Representation Mixing for TTS Synthesis

Yoshua Bengio, Aaron C. Courville, Kyle Kastner, 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Connectionist Approach to Speech Recognition

Yoshua Bengio, 1993, Int. J. Pattern Recognit. Artif. Intell..

Joint Training Deep Boltzmann Machines for Classification pdf

Yoshua Bengio, Aaron C. Courville, Ian J. Goodfellow, 2013, ICLR.

The First Conversational Intelligence Challenge

Alexander I. Rudnicky, Yoshua Bengio, Alan W. Black, 2018 .

Interpolated Adversarial Training: Achieving Robust Neural Networks without Sacrificing Accuracy pdf

Yoshua Bengio, Juho Kannala, Alex Lamb, 2019, ArXiv.

Joint Training of Deep Boltzmann Machines pdf

Yoshua Bengio, Aaron C. Courville, Ian J. Goodfellow, 2012, ArXiv.

Information Fusion in Deep Convolutional Neural Networks for Biomedical Image Segmentation 1

Mohammad Havaei, Nicolas Guizard, Nicolas Chapados, 2018, Signal Processing and Machine Learning for Biomedical Big Data.

Editorial introduction to the Neural Networks special issue on Deep Learning of Representations

Yoshua Bengio, Honglak Lee, Yoshua Bengio, 2015, Neural Networks.

A Parallel Mixture of SVMs for Very Large Scale Problems

Samy Bengio, Yoshua Bengio, Ronan Collobert, 2001, Neural Computation.

Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation

Yoshua Bengio, Benjamin Scellier, Yoshua Bengio, 2016, Front. Comput. Neurosci..

Bias learning, knowledge sharing

Yoshua Bengio, Joumana Ghosn, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning pdf

Christopher Joseph Pal, Sandeep Subramanian, Yoshua Bengio, 2018, ICLR.

DECISION TREES DO NOT GENERALIZE TO NEW VARIATIONS

Yoshua Bengio, Olivier Delalleau, Clarence Simard, 2010, Comput. Intell..

Visualizing Higher-Layer Features of a Deep Network

Pascal Vincent, Yoshua Bengio, Dumitru Erhan, 2009 .

InfoMask: Masked Variational Latent Representation to Localize Chest Disease pdf

Ghassan Hamarneh, Mohammad Havaei, Yoshua Bengio, 2019, MICCAI.

Introduction to NIPS 2017 Competition Track

Sergio Escalera, Alexander I. Rudnicky, Sergey Levine, 2018 .

Neural Probabilistic Language Models

Yoshua Bengio, Jean-Luc Gauvain, Holger Schwenk, 2006 .

Learned-norm pooling for deep neural networks pdf

Razvan Pascanu, Yoshua Bengio, Kyunghyun Cho, 2013, ArXiv.

Marginalized Denoising Auto-encoders for Nonlinear Representations

Yoshua Bengio, Kilian Q. Weinberger, Minmin Chen, 2014, ICML.

Low precision storage for deep learning

Yoshua Bengio, Jean-Pierre David, Matthieu Courbariaux, 2014 .

Quaternion Recurrent Neural Networks pdf

Titouan Parcollet, Mohamed Morchid, Georges Linarès, 2018, ICLR.

Advances in optimizing recurrent networks

Razvan Pascanu, Yoshua Bengio, Nicolas Boulanger-Lewandowski, 2012, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Support vector machines for improving the classification of brain PET images

Yoshua Bengio, Jean Meunier, Jean-Paul Soucy, 1998, Medical Imaging.

Combining modality specific deep neural networks for emotion recognition in video

Razvan Pascanu, Christopher Joseph Pal, Yoshua Bengio, 2013, ICMI '13.

Browsing through high quality document images with DjVu

Yoshua Bengio, Yann LeCun, Patrice Y. Simard, 1998, Proceedings IEEE International Forum on Research and Technology Advances in Digital Libraries -ADL'98-.

Approche statistique pour le reprage de mots informatifs dans les textes oraux

Yoshua Bengio, Guy Lapalme, Narjès Boufaden, 2004 .

Adding noise to the input of a model trained with a regularized objective pdf

Pascal Vincent, Yoshua Bengio, Salah Rifai, 2011, ArXiv.

Boundary Seeking GANs

Yoshua Bengio, Kyunghyun Cho, Adam Trischler, 2018, ICLR.

Plan, Attend, Generate: Character-Level Neural Machine Translation with Planning pdf

Yoshua Bengio, Francis Dutil, Adam Trischler, 2017, Rep4NLP@ACL.

TRAINING A NEURAL NETWORK WITH A FINANCIAL CRITERION RATHER THAN A PREDICTION CRITERION

Yoshua Bengio, Yoshua Bengio, 2007 .

Learning Tags that Vary Within a Song

Douglas Eck, Yoshua Bengio, Michael I. Mandel, 2010, ISMIR.

Dendritic cortical microcircuits approximate the backpropagation algorithm

Yoshua Bengio, Walter Senn, Rui Ponte Costa, 2018, NeurIPS.

Generalization in Deep Learning pdf

Leslie Pack Kaelbling, Yoshua Bengio, Kenji Kawaguchi, 2017, ArXiv.

Online continual learning with no task boundaries pdf

Yoshua Bengio, Min Lin, Rahaf Aljundi, 2019, ArXiv.

Iterative Alternating Neural Attention for Machine Reading pdf

Philip Bachman, Yoshua Bengio, Alessandro Sordoni, 2016, ArXiv.

A simple and general method for semi-supervised learning

Yoshua Bengio, Joseph P. Turian, Joseph Turian, 2010 .

Describing Multimedia Content Using Attention-Based Encoder-Decoder Networks

Yoshua Bengio, Aaron C. Courville, Kyunghyun Cho, 2015, IEEE Transactions on Multimedia.

STDP-Compatible Approximation of Backpropagation in an Energy-Based Model

Yoshua Bengio, Asja Fischer, Saizheng Zhang, 2017, Neural Computation.

High-dimensional sequence transduction

Yoshua Bengio, Pascal Vincent, Nicolas Boulanger-Lewandowski, 2012, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Binarized Neural Networks

Ran El-Yaniv, Yoshua Bengio, Daniel Soudry, 2016, ArXiv.

Pointing the Unknown Words pdf

Bowen Zhou, Ramesh Nallapati, Yoshua Bengio, 2016, ACL.

End-to-End Online Writer Identification With Recurrent Neural Network

Yoshua Bengio, Guo-Sen Xie, Cheng-Lin Liu, 2017, IEEE Transactions on Human-Machine Systems.

Combating False Negatives in Adversarial Imitation Learning (Student Abstract)

Yoshua Bengio, Dzmitry Bahdanau, Chitwan Saharia, 2020, AAAI.

Use of multilayer networks for the recognition of phonetic features and phonemes

Yoshua Bengio, R. De Mori, 1989 .

A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM

Joelle Pineau, Yoshua Bengio, Aaron C. Courville, 2020, AIED.

Low precision arithmetic for deep learning pdf

Yoshua Bengio, Jean-Pierre David, Matthieu Courbariaux, 2014, ICLR.

A Neural Knowledge Language Model pdf

Yoshua Bengio, Sungjin Ahn, Heeyoul Choi, 2016, ArXiv.

Robust Regression with Asymmetric Heavy-Tail Noise Distributions

Takafumi Kanamori, Yoshua Bengio, Ichiro Takeuchi, 2002, Neural Computation.

The Bottleneck Simulator: A Model-based Deep Reinforcement Learning Approach

Joelle Pineau, Michael Pieper, Yoshua Bengio, 2018, J. Artif. Intell. Res..

Random Search for Hyper-Parameter Optimization

Yoshua Bengio, James Bergstra, Yoshua Bengio, 2012, J. Mach. Learn. Res..

Gradient-based learning applied to document recognition

Yoshua Bengio, Yann LeCun, Léon Bottou, 1998, Proc. IEEE.

ADASECANT: Robust Adaptive Secant Method for Stochastic Gradient pdf

Yoshua Bengio, Çaglar Gülçehre, Yoshua Bengio, 2014, ArXiv.

On Adversarial Mixup Resynthesis

R Devon Hjelm, Sina Honari, Yoshua Bengio, 2019, NeurIPS.

Bidirectional Helmholtz Machines

Yoshua Bengio, Jörg Bornschein, Asja Fischer, 2015, ICML.

Binarized Neural Networks

Ran El-Yaniv, Yoshua Bengio, Daniel Soudry, 2016, NIPS.

Detonation Classification from Acoustic Signature with the Restricted Boltzmann Machine

Nicolas Chapados, Yoshua Bengio, Hugo Larochelle, 2022 .

On Training Deep Boltzmann Machines pdf

Yoshua Bengio, Aaron C. Courville, Guillaume Desjardins, 2012, ArXiv.

A Hybrid Pareto Mixture for Conditional Asymmetric Fat-Tailed Distributions

Yoshua Bengio, Julie Carreau, Yoshua Bengio, 2009, IEEE Transactions on Neural Networks.

Learning of Sophisticated Curriculums by viewing them as Graphs over Tasks

Yoshua Bengio, Lucas Willems, Yoshua Bengio, 2018 .

Word normalization for online handwritten word recognition

Yoshua Bengio, Yann LeCun, Yoshua Bengio, 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5).

Predicting Tactical Solutions to Operational Planning Problems under Imperfect Information pdf

Yoshua Bengio, Emma Frejinger, Andrea Lodi, 2018, INFORMS J. Comput..

N-BEATS: Neural basis expansion analysis for interpretable time series forecasting pdf

Nicolas Chapados, Yoshua Bengio, Boris N. Oreshkin, 2019, ICLR.

Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation pdf

Yoshua Bengio, Fethi Bougares, Holger Schwenk, 2014, EMNLP.

On the difficulty of training recurrent neural networks

Razvan Pascanu, Yoshua Bengio, Tomas Mikolov, 2012, ICML.

Generalized Denoising Auto-Encoders as Generative Models

Pascal Vincent, Li Yao, Yoshua Bengio, 2013, NIPS.

DEFactor: Differentiable Edge Factorization-based Probabilistic Graph Generation pdf

Yoshua Bengio, Mohamed Ahmed, Marwin H. S. Segler, 2018, ArXiv.

A network of deep neural networks for Distant Speech Recognition

Yoshua Bengio, Maurizio Omologo, Mirco Ravanelli, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Oracle Performance for Visual Captioning

John R. Smith, Li Yao, Yoshua Bengio, 2016, BMVC.

On the Use of an Ear Model and Multi-Layered Networks for Automatic Speech Recognition

Piero Cosi, Yoshua Bengio, Renato De Mori, 1990 .

Metric-Free Natural Gradient for Joint-Training of Boltzmann Machines pdf

Razvan Pascanu, Yoshua Bengio, Aaron C. Courville, 2013, ICLR.

Learning the Arrow of Time for Problems in Reinforcement Learning

Yoshua Bengio, Anirudh Goyal, Steffen Wolf, 2020, ICLR.

Object Files and Schemata: Factorizing Declarative and Procedural Knowledge in Dynamical Systems pdf

Yoshua Bengio, Charles Blundell, Alex Lamb, 2020, ArXiv.

Artificial neural networks and their application to sequence recognition

Yoshua Bengio, Yoshua Bengio, 1991 .

Icentia11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery pdf

Yoshua Bengio, Joseph Paul Cohen, Aaron C. Courville, 2019, ArXiv.

Width of Minima Reached by Stochastic Gradient Descent is Influenced by Learning Rate to Batch Size Ratio

Yoshua Bengio, Amos J. Storkey, Stanislaw Jastrzebski, 2018, ICANN.

Knowledge Matters: Importance of Prior Information for Optimization

Yoshua Bengio, Çaglar Gülçehre, Yoshua Bengio, 2013, J. Mach. Learn. Res..

On Random Weights for Texture Generation in One Layer Neural Networks pdf

Yoshua Bengio, Akram Erraqabi, Kundan Kumar, 2016, ArXiv.

Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon

Yoshua Bengio, Andrea Lodi, Antoine Prouvost, 2018, Eur. J. Oper. Res..

Representation Learning: A Review and New Perspectives

Pascal Vincent, Yoshua Bengio, Aaron C. Courville, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Probabilistic neural network models for sequential data

Yoshua Bengio, Yoshua Bengio, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Task Loss Estimation for Structured Prediction

Yoshua Bengio, Aaron C. Courville, Aaron Courville, 2016 .

Neural net language models

Yoshua Bengio, Yoshua Bengio, 2008, Scholarpedia.

Professor Forcing: A New Algorithm for Training Recurrent Networks

Yoshua Bengio, Aaron C. Courville, Ying Zhang, 2016, NIPS.

Towards Biologically Plausible Deep Learning pdf

Yoshua Bengio, Jörg Bornschein, Dong-Hyun Lee, 2015, ArXiv.

Multi-way, multilingual neural machine translation

Yoshua Bengio, Fatos T. Yarman-Vural, Orhan Firat, 2017, Comput. Speech Lang..

On Training Recurrent Neural Networks for Lifelong Learning pdf

Yoshua Bengio, A. P. Sarath Chandar, Shagun Sodhani, 2018, ArXiv.

Semi-supervised Learning by Entropy Minimization

Yoshua Bengio, Yves Grandvalet, Yoshua Bengio, 2004, CAP.

Learning a synaptic learning rule

Yoshua Bengio, Samy Bengio, Jocelyn Cloutier, 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

Contractive Auto-Encoders: Explicit Invariance During Feature Extraction

Pascal Vincent, Yoshua Bengio, Salah Rifai, 2011, ICML.

Estimating or Propagating Gradients Through Stochastic Neurons pdf

Yoshua Bengio, Yoshua Bengio, 2013, ArXiv.

Iteratively unveiling new regions of interest in Deep Learning models

Pascal Vincent, Yoshua Bengio, Florian Bordes, 2018 .

GSNs : Generative Stochastic Networks pdf

Pascal Vincent, Li Yao, Yoshua Bengio, 2015, ArXiv.

Deep Directed Generative Autoencoders pdf

Yoshua Bengio, Sherjil Ozair, Yoshua Bengio, 2014, ArXiv.

Regularized Auto-Encoders Estimate Local Statistics pdf

Yoshua Bengio, Guillaume Alain, Salah Rifai, 2012, ICLR.

Learning Generative Models with Locally Disentangled Latent Factors

R Devon Hjelm, Ioannis Mitliagkas, Yoshua Bengio, 2018 .

Keep Drawing It: Iterative language-based image generation and editing pdf

Yoshua Bengio, Graham W. Taylor, Hannes Schulz, 2018, ArXiv.

Spike-and-Slab Sparse Coding for Unsupervised Feature Discovery pdf

Yoshua Bengio, Aaron C. Courville, Ian J. Goodfellow, 2012, ArXiv.

Ghost Units Yield Biologically Plausible Backprop in Deep Neural Networks pdf

Yoshua Bengio, Walter Senn, Thomas Mesnard, 2019, ArXiv.

Identifying and attacking the saddle point problem in high-dimensional non-convex optimization

Surya Ganguli, Razvan Pascanu, Yoshua Bengio, 2014, NIPS.

Apprentissage machine efficace: theorie et pratique

Yoshua Bengio, Olivier Delalleau, 2012 .

Learning Hierarchical Structures On-The-Fly with a Recurrent-Recursive Model for Sequences

Yoshua Bengio, Alessandro Sordoni, Zhouhan Lin, 2018, Rep4NLP@ACL.

Batch normalized recurrent neural networks

Ying Zhang, Yoshua Bengio, Philemon Brakel, 2015, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

FitNets: Hints for Thin Deep Nets pdf

Yoshua Bengio, Carlo Gatta, Adriana Romero, 2014, ICLR.

Twin Networks: Matching the Future for Sequence Generation

Christopher Joseph Pal, Yoshua Bengio, Dmitriy Serdyuk, 2017, ICLR.

Greedy Layer-Wise Training of Deep Networks

Yoshua Bengio, Hugo Larochelle, Pascal Lamblin, 2006, NIPS.

Diet Networks: Thin Parameters for Fat Genomic

Yoshua Bengio, Marie-Pierre Dubé, Akram Erraqabi, 2016, ICLR.

Unsupervised and Transfer Learning Challenge: a Deep Learning Approach

Yoshua Bengio, Yann Dauphin, Aaron C. Courville, 2011, ICML Unsupervised and Transfer Learning.

Nonlocal Estimation of Manifold Structure

Yoshua Bengio, Hugo Larochelle, Martin Monperrus, 2006, Neural Computation.

Deep Learning of Representations

Yoshua Bengio, Aaron C. Courville, Yoshua Bengio, 2013, Handbook on Neural Information Processing.

Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations pdf

Yoshua Bengio, Hugo Larochelle, Tegan Maharaj, 2016, ICLR.

Learning normalized inputs for iterative estimation in medical image segmentation

Christopher Joseph Pal, Yoshua Bengio, Lisa Di-Jorio, 2017, Medical Image Anal..

Classification using discriminative restricted Boltzmann machines

Yoshua Bengio, Hugo Larochelle, Yoshua Bengio, 2008, ICML '08.

Unsupervised and Transfer Learning under Uncertainty - From Object Detections to Scene Categorization

Pascal Vincent, Yoshua Bengio, Antoine Bordes, 2013, ICPRAM.

Deep Learning of Representations for Unsupervised and Transfer Learning

Yoshua Bengio, Yoshua Bengio, 2011, ICML Unsupervised and Transfer Learning.

Twin Regularization for online speech recognition

Yoshua Bengio, Mirco Ravanelli, Dmitriy Serdyuk, 2018, INTERSPEECH.

Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation pdf

Yoshua Bengio, Aaron C. Courville, Nicholas Léonard, 2013, ArXiv.

On the Challenges of Physical Implementations of RBMs pdf

Yoshua Bengio, Aaron C. Courville, Vincent Dumoulin, 2013, AAAI.

Task Loss Estimation for Sequence Prediction pdf

Yoshua Bengio, Aaron C. Courville, Dmitriy Serdyuk, 2015, ArXiv.

A learning-based algorithm to quickly compute good primal solutions for Stochastic Integer Programs

Sriram Sankaranarayanan, Yoshua Bengio, Rahul Patel, 2019, CPAIOR.

An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism

Douglas Eck, Yoshua Bengio, Aaron C. Courville, 2009, NIPS.

DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning

Yoshua Bengio, Joseph Paul Cohen, Karsten Roth, 2020, ECCV.

The Benefits of Over-parameterization at Initialization in Deep ReLU Networks pdf

Yoshua Bengio, Devansh Arpit, Yoshua Bengio, 2019, ArXiv.

Learning Causal Models Online pdf

Yoshua Bengio, Martha White, Khurram Javed, 2020, ArXiv.

Word normalization for on-line handwritten word recognition

Yoshua Bengio, Yann LeCun, Yoshua Bengio, 1994 .

Distributed Representation Prediction for Generalization to New Words

Yoshua Bengio, Hugo Larochelle, 2006 .

Learning Concept Embeddings for Query Expansion by Quantum Entropy Minimization

Yoshua Bengio, Jian-Yun Nie, Alessandro Sordoni, 2014, AAAI.

Universal Successor Features for Transfer Reinforcement Learning pdf

Yoshua Bengio, Junfeng Wen, Chen Ma, 2018, ArXiv.

Untangling tradeoffs between recurrence and self-attention in neural networks pdf

Yoshua Bengio, Giancarlo Kerg, Guillaume Lajoie, 2020, ArXiv.

AdaBoosting Neural Networks: Application to on-line Character Recognition

Yoshua Bengio, Holger Schwenk, Yoshua Bengio, 1997, ICANN.

Understanding the exploding gradient problem pdf

Razvan Pascanu, Yoshua Bengio, Tomas Mikolov, 2012, ArXiv.

Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion

Pascal Vincent, Yoshua Bengio, Hugo Larochelle, 2010, J. Mach. Learn. Res..

Information matrices and generalization pdf

Nicolas Le Roux, Yoshua Bengio, Fabian Pedregosa, 2019, ArXiv.

Continuous Neural Networks

Nicolas Le Roux, Yoshua Bengio, Yoshua Bengio, 2007, AISTATS.

On Using Very Large Target Vocabulary for Neural Machine Translation pdf

Yoshua Bengio, Kyunghyun Cho, Roland Memisevic, 2014, ACL.

Scaling Large Learning Problems with Hard Parallel Mixtures

Samy Bengio, Yoshua Bengio, Ronan Collobert, 2002, Int. J. Pattern Recognit. Artif. Intell..

Reading checks with multilayer graph transformer networks

Yoshua Bengio, Yann LeCun, Léon Bottou, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Conditioning and time representation in long short-term memory networks

Yoshua Bengio, François Rivest, John Kalaska, 2013, Biological Cybernetics.

HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery pdf

Yoshua Bengio, Julien Cornebise, Zhichao Lin, 2020, ArXiv.

Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction

Yoshua Bengio, Hannes Schulz, Samira Ebrahimi Kahou, 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

On the Equivalence between Deep NADE and Generative Stochastic Networks pdf

Li Yao, Yoshua Bengio, Kyunghyun Cho, 2014, ECML/PKDD.

Deep Learners Benefit More from Out-of-Distribution Examples

Razvan Pascanu, Yoshua Bengio, Dumitru Erhan, 2011, AISTATS.

Evolving Culture vs Local Minima pdf

Yoshua Bengio, Yoshua Bengio, 2012, ArXiv.

Twin Networks: Using the Future as a Regularizer pdf

Christopher Joseph Pal, Yoshua Bengio, Dmitriy Serdyuk, 2017, ArXiv.

Neural Networks with Few Multiplications pdf

Yoshua Bengio, Roland Memisevic, Zhouhan Lin, 2015, ICLR.

Hierarchical Multiscale Recurrent Neural Networks pdf

Yoshua Bengio, Sungjin Ahn, Junyoung Chung, 2016, ICLR.

Multi-Task Learning for Stock Selection

Yoshua Bengio, Joumana Ghosn, Yoshua Bengio, 1996, NIPS.

Multiscale sequence modeling with a learned dictionary pdf

Yoshua Bengio, Hugo Larochelle, Amartya Sanyal, 2017, ArXiv.

Low-memory convolutional neural networks through incremental depth-first processing pdf

Yoshua Bengio, Jonathan Binas, 2018, ArXiv.

Recurrent Neural Networks for Missing or Asynchronous Data

Yoshua Bengio, Francois Gingras, Yoshua Bengio, 1995, NIPS.

Curriculum learning

Jason Weston, Yoshua Bengio, Jérôme Louradour, 2009, ICML '09.

Temporal Pooling and Multiscale Learning for Automatic Annotation and Ranking of Music Audio

Douglas Eck, Yoshua Bengio, Philippe Hamel, 2011, ISMIR.

Discriminative Non-negative Matrix Factorization for Multiple Pitch Estimation

Pascal Vincent, Yoshua Bengio, Nicolas Boulanger-Lewandowski, 2012, ISMIR.

Discussion of "The Neural Autoregressive Distribution Estimator"

Yoshua Bengio, 2011, AISTATS.

Early Inference in Energy-Based Models Approximates Back-Propagation pdf

Yoshua Bengio, Yoshua Bengio, 2015, ArXiv.

Adversarial Domain Adaptation for Stable Brain-Machine Interfaces pdf

Yoshua Bengio, Joseph Paul Cohen, Lee E. Miller, 2018, ICLR.

HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Yoshua Bengio, Ruslan Salakhutdinov, William W. Cohen, 2018, EMNLP.

The Statistical Inefficiency of Sparse Coding for Images (or, One Gabor to Rule them All) pdf

Yoshua Bengio, Aaron C. Courville, James Bergstra, 2011, ArXiv.

Underwhelming Generalization Improvements From Controlling Feature Attribution pdf

Yoshua Bengio, Joseph Paul Cohen, Francis Dutil, 2019, ArXiv.

Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach pdf

Yoshua Bengio, Timothy J. O'Donnell, Wenyu Du, 2020, ACL.

Not All Neural Embeddings are Born Equal pdf

Yoshua Bengio, Felix Hill, Kyunghyun Cho, 2014, ArXiv.

Adaptive Parallel Tempering for Stochastic Maximum Likelihood Learning of RBMs pdf

Yoshua Bengio, Aaron C. Courville, Guillaume Desjardins, 2010, ArXiv.

An Analysis of the Adaptation Speed of Causal Models pdf

Yoshua Bengio, Simon Lacoste-Julien, Reza Babanezhad Harikandeh, 2020, ArXiv.

Estimating Car Insurance Premia: a Case Study in High-Dimensional Data Inference

Pascal Vincent, Nicolas Chapados, Yoshua Bengio, 2001, NIPS.

On the interplay between noise and curvature and its effect on optimization and generalization

Nicolas Le Roux, Yoshua Bengio, Fabian Pedregosa, 2019, AISTATS.

Towards Gene Expression Convolutions using Gene Interaction Graphs pdf

Yoshua Bengio, Joseph Paul Cohen, Francis Dutil, 2018, ArXiv.

Cross-Modal Information Maximization for Medical Imaging: CMIM pdf

Yoshua Bengio, Francis Dutil, Tristan Sylvain, 2020, ArXiv.

Automated curriculum generation for Policy Gradients from Demonstrations pdf

Yoshua Bengio, Dzmitry Bahdanau, Anirudh Srinivasan, 2019, ArXiv.

Applying Knowledge Transfer for Water Body Segmentation in Peru pdf

Yoshua Bengio, Kris Sankaran, Jessenia Gonzalez, 2019, ArXiv.

Learning invariant features through local space contraction pdf

Pascal Vincent, Yoshua Bengio, Grégoire Mesnil, 2011, ArXiv.

Deconstructing the Ladder Network Architecture

Yoshua Bengio, Aaron C. Courville, Philemon Brakel, 2015, ICML.

A Deep Reinforcement Learning Chatbot (Short Version) pdf

Joelle Pineau, Sandeep Subramanian, Michael Pieper, 2018, ArXiv.

An EM approach to grammatical inference: input/output HMMs

Yoshua Bengio, Paolo Frasconi, Yoshua Bengio, 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5).

Equilibrated adaptive learning rates for non-convex optimization

Yoshua Bengio, Harm de Vries, Yann N. Dauphin, 2015, NIPS.

The Curse of Highly Variable Functions for Local Kernel Machines

Nicolas Le Roux, Yoshua Bengio, Olivier Delalleau, 2005, NIPS.

Maximum Entropy Generators for Energy-Based Models pdf

Yoshua Bengio, Aaron C. Courville, Anirudh Goyal, 2019, ArXiv.

Incorporating Functional Knowledge in Neural Networks

Yoshua Bengio, François Bélisle, Charles Dugas, 2009, J. Mach. Learn. Res..

A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms pdf

Christopher Joseph Pal, Yoshua Bengio, Tristan Deleu, 2019, ICLR.

Graph Priors for Deep Neural Networks

Yoshua Bengio, Joseph Paul Cohen, Francis Dutil, 2018 .

Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach

Yoshua Bengio, Antoine Bordes, Xavier Glorot, 2011, ICML.

Iterative Neural Autoregressive Distribution Estimator NADE-k

Tapani Raiko, Li Yao, Yoshua Bengio, 2014, NIPS.

On Tracking The Partition Function

Yoshua Bengio, Aaron C. Courville, Guillaume Desjardins, 2011, NIPS.

Learning Powerful Policies by Using Consistent Dynamics Model pdf

Sergey Levine, Yoshua Bengio, Tristan Deleu, 2019, ArXiv.

High quality document image compression with "DjVu"

Yoshua Bengio, Yann LeCun, Patrice Y. Simard, 1998, J. Electronic Imaging.

Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning pdf

Yoshua Bengio, Richard Socher, Caiming Xiong, 2020, ArXiv.

Noisy K Best-Paths for Approximate Dynamic Programming with Application to Portfolio Optimization

Nicolas Chapados, Yoshua Bengio, Yoshua Bengio, 2007, J. Comput..

The Manifold Tangent Classifier

Pascal Vincent, Yoshua Bengio, Yann Dauphin, 2011, NIPS.

How to Construct Deep Recurrent Neural Networks pdf

Razvan Pascanu, Yoshua Bengio, Kyunghyun Cho, 2013, ICLR.

Depth with Nonlinearity Creates No Bad Local Minima in ResNets

Yoshua Bengio, Kenji Kawaguchi, 2019, Neural Networks.

Globally Trained Handwritten Word Recognizer Using Spatial Representation, Convolutional Neural Networks, and Hidden Markov Models

Yoshua Bengio, Yann LeCun, Donnie Henderson, 1993, NIPS.

The Consciousness Prior pdf

Yoshua Bengio, Yoshua Bengio, 2017, ArXiv.

Extending the Framework of Equilibrium Propagation to General Dynamics

Yoshua Bengio, Jonathan Binas, Anirudh Goyal, 2018, ICLR.

Experiments on the Application of IOHMMs to Model Financial Returns Series *

Yoshua Bengio, Réjean Ducharme, Vincent-Philippe Lauzon, 2002 .

Independently Controllable Features pdf

Joelle Pineau, Yoshua Bengio, Doina Precup, 2017 .

The Difficulty of Training Deep Architectures and the Effect of Unsupervised Pre-Training

Pascal Vincent, Samy Bengio, Yoshua Bengio, 2009, AISTATS.

Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net

Surya Ganguli, Yoshua Bengio, Anirudh Goyal, 2017, NIPS.

Deep Complex Networks pdf

Sandeep Subramanian, Yoshua Bengio, Chiheb Trabelsi, 2017, ICLR.

MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis

Yoshua Bengio, Aaron C. Courville, Aaron Courville, 2019, NeurIPS.

Batch-normalized joint training for DNN-based distant speech recognition

Yoshua Bengio, Maurizio Omologo, Mirco Ravanelli, 2016, 2016 IEEE Spoken Language Technology Workshop (SLT).

What regularized auto-encoders learn from the data-generating distribution

Yoshua Bengio, Guillaume Alain, Yoshua Bengio, 2012, J. Mach. Learn. Res..

A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues pdf

Joelle Pineau, Yoshua Bengio, Aaron C. Courville, 2016, AAAI.

On the number of response regions of deep feed forward networks with piece-wise linear activations

Razvan Pascanu, Yoshua Bengio, Guido Montufar, 2013, 1312.6098.

ChatPainter: Improving Text to Image Generation using Dialogue pdf

Yoshua Bengio, Samira Ebrahimi Kahou, Vincent Michalski, 2018, ICLR.

Using Simulated Data to Generate Images of Climate Change pdf

Yoshua Bengio, Alexandra Luccioni, Victor Schmidt, 2020, ArXiv.

Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules

Murray Shanahan, Yoshua Bengio, Alex Lamb, 2020, ICML.

Theano: A Python framework for fast computation of mathematical expressions pdf

John Salvatier, Razvan Pascanu, Sina Honari, 2016, ArXiv.

Radial Basis Functions for Speech Recognition

Yoshua Bengio, 1992 .

Introduction to the special issue on neural networks for data mining and knowledge discovery

Joachim M. Buhmann, Jacek M. Zurada, Yoshua Bengio, 2000 .

Interpolated Adversarial Training: Achieving Robust Neural Networks Without Sacrificing Too Much Accuracy

Yoshua Bengio, Juho Kannala, Alex Lamb, 2019, AISec@CCS.

Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies

Yoshua Bengio, Samira Ebrahimi Kahou, A. P. Sarath Chandar, 2019, AAAI.

A comparative study on hybrid acoustic phonetic decoders based on artificial neural networks

Yoshua Bengio, Renato De Mori, Ralf Kompe, 1991, EUROSPEECH.

Improving Generative Adversarial Networks with Denoising Feature Matching

Yoshua Bengio, David Warde-Farley, Yoshua Bengio, 2016, ICLR.

Graph Attention Networks pdf

Pietro Liò, Yoshua Bengio, Petar Velickovic, 2017, ICLR.

Stochastic Learning of Strategic Equilibria for Auctions

Samy Bengio, Yoshua Bengio, Jacques Robert, 1999, Neural Computation.

Neural Machine Translation by Jointly Learning to Align and Translate pdf

Yoshua Bengio, Kyunghyun Cho, Dzmitry Bahdanau, 2014, ICLR.

Avoidance Learning Using Observational Reinforcement Learning pdf

Yoshua Bengio, Doina Precup, Rola Dali, 2019, ArXiv.

Modularity Matters: Learning Invariant Relational Reasoning Tasks pdf

Yoshua Bengio, Vikas Verma, Jason Jo, 2018, ArXiv.

Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies

Yoshua Bengio, Sepp Hochreiter, S. Hochreiter, 2001 .

Artificial Neural Networks Applied to Taxi Destination Prediction pdf

Pascal Vincent, Yoshua Bengio, Alexandre de Brébisson, 2015, DC@PKDD/ECML.

Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model

Yoshua Bengio, Jean-Sébastien Senecal, Yoshua Bengio, 2008, IEEE Transactions on Neural Networks.

A Hybrid Pareto Model for Conditional Density Estimation of Asymmetric Fat-Tail Data

Yoshua Bengio, Julie Carreau, Yoshua Bengio, 2007, AISTATS.

Trainable performance upper bounds for image and video captioning pdf

John R. Smith, Li Yao, Yoshua Bengio, 2015, ArXiv.

Generative Adversarial Networks pdf

Yoshua Bengio, Bing Xu, Aaron C. Courville, 2014, ArXiv.

Parallel Tempering for Training of Restricted Boltzmann Machines

Pascal Vincent, Yoshua Bengio, Aaron C. Courville, 2010 .

Extracting Hidden Sense Probabilities from Bitexts

Yoshua Bengio, Christopher Kermorvant, 2003 .

BinaryNet: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1 pdf

Yoshua Bengio, Matthieu Courbariaux, Yoshua Bengio, 2016, ArXiv.

Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks pdf

Yoshua Bengio, Kris Sankaran, Alexandra Luccioni, 2019, ArXiv.

Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding

Christopher Joseph Pal, Yoshua Bengio, Jonathan Binas, 2018, NeurIPS.

ACtuAL: Actor-Critic Under Adversarial Learning pdf

Joelle Pineau, Christopher Joseph Pal, Yoshua Bengio, 2017, ArXiv.

h-detach: Modifying the LSTM Gradient Towards Better Optimization pdf

Ioannis Mitliagkas, Yoshua Bengio, Devansh Arpit, 2018, ICLR.

How to construct deep recurrent neural networks: Proceedings of the Second International Conference on Learning Representations (ICLR 2014)

Razvan Pascanu, Yoshua Bengio, Kyunghyun Cho, 2014, International Conference on Learning Representations.

The Z-coder adaptive binary coder

Yoshua Bengio, Léon Bottou, Paul G. Howard, 1998, Proceedings DCC '98 Data Compression Conference (Cat. No.98TB100225).

Residual Connections Encourage Iterative Inference pdf

Yoshua Bengio, Stanislaw Jastrzebski, Vikas Verma, 2017, ICLR.

Neural networks for speech and sequence recognition

Yoshua Bengio, Yoshua Bengio, 1996 .

On the saddle point problem for non-convex optimization pdf

Surya Ganguli, Razvan Pascanu, Yoshua Bengio, 2014, ArXiv.

Small-GAN: Speeding Up GAN Training Using Core-sets pdf

Yoshua Bengio, Hugo Larochelle, Han Zhang, 2019, ICML.

Architectural Complexity Measures of Recurrent Neural Networks

Yoshua Bengio, Ruslan Salakhutdinov, Roland Memisevic, 2016, NIPS.

Gated Orthogonal Recurrent Units: On Learning to Forget

Yoshua Bengio, Max Tegmark, Çaglar Gülçehre, 2017, Neural Computation.

Image-to-image translation for cross-domain disentanglement

Joost van de Weijer, Yoshua Bengio, Abel Gonzalez-Garcia, 2018, NeurIPS.

A Recurrent Latent Variable Model for Sequential Data

Yoshua Bengio, Aaron C. Courville, Laurent Dinh, 2015, NIPS.

Speech Model Pre-training for End-to-End Spoken Language Understanding pdf

Yoshua Bengio, Mirco Ravanelli, Loren Lugosch, 2019, INTERSPEECH.

On Using Monolingual Corpora in Neural Machine Translation pdf

Yoshua Bengio, Fethi Bougares, Holger Schwenk, 2015, ArXiv.

A robust adaptive stochastic gradient method for deep learning

Yoshua Bengio, Çaglar Gülçehre, Marcin Moczulski, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Evolving Culture Versus Local Minima

Yoshua Bengio, Yoshua Bengio, 2014, Growing Adaptive Machines.

Multi-Task Self-Supervised Learning for Robust Speech Recognition

Yoshua Bengio, Mirco Ravanelli, Santiago Pascual, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Learning to rank for censored survival data pdf

Yoshua Bengio, Andrea Lodi, Joseph Paul Cohen, 2018, ArXiv.

IAPR keynote lecture IV: Deep learning

Yoshua Bengio, 2015, ACPR.

Compositional generalization in a deep seq2seq model by separating syntax and semantics pdf

Yoshua Bengio, Jason Jo, Randall C. O'Reilly, 2019, ArXiv.

Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study

Christopher Joseph Pal, Yoshua Bengio, A. P. Sarath Chandar, 2019, ACL.

Generalizable Features From Unsupervised Learning pdf

Yoshua Bengio, Aaron C. Courville, Mehdi Mirza, 2016, ICLR.

Improving Speech Recognition by Revising Gated Recurrent Units

Yoshua Bengio, Maurizio Omologo, Mirco Ravanelli, 2017, INTERSPEECH.

Understanding deep architectures and the effect of unsupervised pre-training

Yoshua Bengio, Dumitru Erhan, 2011 .

Collaborative Filtering on a Family of Biological Targets

Yoshua Bengio, Dumitru Erhan, Pierre-Jean L'Heureux, 2006, J. Chem. Inf. Model..

Combating False Negatives in Adversarial Imitation Learning pdf

Yoshua Bengio, Dzmitry Bahdanau, Chitwan Saharia, 2020, 2021 International Joint Conference on Neural Networks (IJCNN).

Dynamic Frame Skipping for Fast Speech Recognition in Recurrent Neural Network Based Acoustic Models

Yoshua Bengio, Taesup Kim, Inchul Song, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Augmented Functional Time Series Representation and Forecasting with Gaussian Processes

Nicolas Chapados, Yoshua Bengio, 2007, NIPS.

Learning long-term dependencies with gradient descent is difficult

Yoshua Bengio, Paolo Frasconi, Patrice Y. Simard, 1994, IEEE Trans. Neural Networks.

Scaling Up Spike-and-Slab Models for Unsupervised Feature Learning

Yoshua Bengio, Aaron C. Courville, Ian J. Goodfellow, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Quantized Guided Pruning for Efficient Hardware Implementations of Convolutional Neural Networks pdf

Vincent Gripon, Yoshua Bengio, Matthieu Arzel, 2018, ArXiv.

Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding

Yoshua Bengio, Li Deng, Xiaodong He, 2013, INTERSPEECH.

Blocks and Fuel: Frameworks for deep learning pdf

Yoshua Bengio, Dmitriy Serdyuk, Dzmitry Bahdanau, 2015, ArXiv.

GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning pdf

Yoshua Bengio, Juho Kannala, Jian Tang, 2019, ArXiv.

Blocks and Fuel

Yoshua Bengio, Dmitriy Serdyuk, Dmitry Bogdanov, 2015 .

GibbsNet: Iterative Adversarial Inference for Deep Graphical Models

Yoshua Bengio, Joseph Paul Cohen, Aaron C. Courville, 2017, NIPS.

GradMask: Reduce Overfitting by Regularizing Saliency pdf

Yoshua Bengio, Joseph Paul Cohen, Francis Dutil, 2019, ArXiv.

Global optimization of a neural network-hidden Markov model hybrid

Yoshua Bengio, Renato De Mori, Ralf Kompe, 1992, IEEE Trans. Neural Networks.

BinaryConnect: Training Deep Neural Networks with binary weights during propagations

Yoshua Bengio, Jean-Pierre David, Matthieu Courbariaux, 2015, NIPS.

Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning pdf

Yoshua Bengio, Sufeng Niu, Yashaswi Pathak, 2020, ICML.

Mode Regularized Generative Adversarial Networks pdf

Yoshua Bengio, Wenjie Li, Yanran Li, 2016, ICLR.

Pylearn2: a machine learning research library pdf

Razvan Pascanu, Yoshua Bengio, Vincent Dumoulin, 2013, ArXiv.

Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay pdf

Mohammad Havaei, Yoshua Bengio, Xiang Jiang, 2020, ArXiv.

Binary pseudowavelets and applications to bilevel image processing

Steven Pigeon, Yoshua Bengio, 1999, Proceedings DCC'99 Data Compression Conference (Cat. No. PR00096).

Deep Learning for Patient-Specific Kidney Graft Survival Analysis pdf

Yoshua Bengio, Andrea Lodi, Tristan Sylvain, 2017, ArXiv.

Embedding Word Similarity with Neural Machine Translation pdf

Yoshua Bengio, Felix Hill, Kyunghyun Cho, 2014, ICLR.

Diffusion of Credit in Markovian Models

Yoshua Bengio, Paolo Frasconi, Yoshua Bengio, 1994, NIPS.

On the search for new learning rules for ANNs

Samy Bengio, Yoshua Bengio, Jocelyn Cloutier, 1995, Neural Processing Letters.

Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines

Pascal Vincent, Yoshua Bengio, Aaron C. Courville, 2010, AISTATS.

An Actor-Critic Algorithm for Sequence Prediction pdf

Joelle Pineau, Yoshua Bengio, Aaron C. Courville, 2016, ICLR.

Dendritic error backpropagation in deep cortical microcircuits pdf

Yoshua Bengio, Walter Senn, Rui Ponte Costa, 2017, ArXiv.

Char2Wav: End-to-End Speech Synthesis

Yoshua Bengio, Aaron C. Courville, Kundan Kumar, 2017, ICLR.

Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics

Yoshua Bengio, Gauthier Gidel, Giancarlo Kerg, 2019, NeurIPS.

Unsupervised Models of Images by Spikeand-Slab RBMs

Yoshua Bengio, Aaron C. Courville, James Bergstra, 2011, ICML.

Speaker Recognition from Raw Waveform with SincNet

Yoshua Bengio, Mirco Ravanelli, Yoshua Bengio, 2018, 2018 IEEE Spoken Language Technology Workshop (SLT).

Towards a Biologically Plausible Backprop pdf

Yoshua Bengio, Benjamin Scellier, Yoshua Bengio, 2016, ArXiv.

Convolutional neural networks for mesh-based parcellation of the cerebral cortex

Yoshua Bengio, Alan C. Evans, Petar Veličković, 2018 .

The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget pdf

Yoshua Bengio, Sergey Levine, Anirudh Goyal, 2020, ICLR.

A Walk with SGD pdf

Yoshua Bengio, Devansh Arpit, Chen Xing, 2018, ArXiv.

Why Does Unsupervised Pre-training Help Deep Learning?

Yoshua Bengio, Dumitru Erhan, Aaron C. Courville, 2010, AISTATS.

Count-ception: Counting by Fully Convolutional Redundant Counting

Yoshua Bengio, Joseph Paul Cohen, Henry Z. Lo, 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

Fraternal Dropout pdf

Yoshua Bengio, Devansh Arpit, Dendi Suhubdy, 2017, ICLR.

Topic Segmentation : A First Stage to Dialog-Based Information Extraction

Yoshua Bengio, Guy Lapalme, Narjès Boufaden, 2001, NLPRS.

Learning from Learning Machines: Optimisation, Rules, and Social Norms pdf

Yoshua Bengio, Travis LaCroix, Yoshua Bengio, 2019, ArXiv.

HNHN: Hypergraph Networks with Hyperedge Neurons pdf

Yoshua Bengio, Yihe Dong, Will Sawin, 2020, ArXiv.

Algorithms for Hyper-Parameter Optimization

Yoshua Bengio, Balázs Kégl, Rémi Bardenet, 2011, NIPS.

Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations pdf

Ran El-Yaniv, Yoshua Bengio, Daniel Soudry, 2016, J. Mach. Learn. Res..

Suitability of V1 Energy Models for Object Classification

Yoshua Bengio, Jérôme Louradour, James Bergstra, 2011, Neural Computation.

Speech coding with multilayer networks

Piero Cosi, Yoshua Bengio, R. De Mori, 1989, NATO Neurocomputing.

Statistical Language and Speech Processing

Yoshua Bengio, Horia Cucu, Corneliu Burileanu, 2013, Lecture Notes in Computer Science.

Word-level training of a handwritten word recognizer based on convolutional neural networks

Yoshua Bengio, Yann LeCun, Yoshua Bengio, 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5).

Markovian Models for Sequential Data

Yoshua Bengio, Yoshua Bengio, 2004 .

Workshop summary: Workshop on learning feature hierarchies

Geoffrey E. Hinton, Yoshua Bengio, Yann LeCun, 2009, ICML '09.

Revisiting Fundamentals of Experience Replay pdf

Yoshua Bengio, Hugo Larochelle, Will Dabney, 2020, ICML.

Inherent privacy limitations of decentralized contact tracing apps

Yoshua Bengio, Daphne Ippolito, Yun William Yu, 2020, Journal of the American Medical Informatics Association : JAMIA.

Manifold Parzen Windows

Pascal Vincent, Yoshua Bengio, Yoshua Bengio, 2002, NIPS.

MaD TwinNet: Masker-Denoiser Architecture with Twin Networks for Monaural Sound Source Separation

Yoshua Bengio, Gerald Schuller, Dmitriy Serdyuk, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

On the Expressive Power of Deep Architectures

Yoshua Bengio, Olivier Delalleau, Yoshua Bengio, 2011, ALT.

Input-output HMMs for sequence processing

Yoshua Bengio, Paolo Frasconi, Yoshua Bengio, 1996, IEEE Trans. Neural Networks.

Unitary Evolution Recurrent Neural Networks pdf

Yoshua Bengio, Amar Shah, Martín Arjovsky, 2015, ICML.

Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses pdf

Joelle Pineau, Yoshua Bengio, Ryan Lowe, 2017, ACL.

Large-Scale Learning of Embeddings with Reconstruction Sampling

Yoshua Bengio, Yann Dauphin, Xavier Glorot, 2011, ICML.

Brain tumor segmentation with Deep Neural Networks

Christopher Joseph Pal, Mohammad Havaei, Yoshua Bengio, 2015, Medical Image Anal..

Revisiting Natural Gradient for Deep Networks pdf

Razvan Pascanu, Yoshua Bengio, Yoshua Bengio, 2013, ICLR.

Use of neural networks for the recognition of place of articulation

Yoshua Bengio, Renato De Mori, 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

Large-Scale Feature Learning With Spike-and-Slab Sparse Coding

Yoshua Bengio, Aaron C. Courville, Ian J. Goodfellow, 2012, ICML.

Dynamic Layer Normalization for Adaptive Neural Acoustic Modeling in Speech Recognition pdf

Yoshua Bengio, Taesup Kim, Inchul Song, 2017, INTERSPEECH.

An Input Output HMM Architecture

Yoshua Bengio, Paolo Frasconi, Yoshua Bengio, 1994, NIPS.

Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks

Razvan Pascanu, Yoshua Bengio, Kyunghyun Cho, 2013, ECML/PKDD.

The problem of learning long-term dependencies in recurrent networks

Yoshua Bengio, Paolo Frasconi, Patrice Y. Simard, 1993, IEEE International Conference on Neural Networks.

On the number of inference regions of deep feed forward networks with piece-wise linear activations pdf

Razvan Pascanu, Yoshua Bengio, Guido Montúfar, 2013, ICLR.

Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures pdf

Yoshua Bengio, Jian Tang, Yoshihide Sawada, 2019, ArXiv.

Deep Learning

Geoffrey E. Hinton, Yoshua Bengio, Aaron C. Courville, 2015, Nature.

Disentangling Factors of Variation via Generative Entangling pdf

Yoshua Bengio, Aaron C. Courville, Guillaume Desjardins, 2012, ArXiv.

Benchmarking Graph Neural Networks pdf

Yoshua Bengio, Vijay Prakash Dwivedi, Thomas Laurent, 2023, J. Mach. Learn. Res..

Deep Self-Taught Learning for Handwritten Character Recognition pdf

Razvan Pascanu, Yoshua Bengio, Dumitru Erhan, 2010, ArXiv.

Programmable execution of multi-layered networks for automatic speech recognition

Yoshua Bengio, Renato De Mori, Ettore Merlo, 1989, CACM.

No Unbiased Estimator of the Variance of K-Fold Cross-Validation

Yoshua Bengio, Yves Grandvalet, Yoshua Bengio, 2003, J. Mach. Learn. Res..

NICE: Non-linear Independent Components Estimation pdf

Yoshua Bengio, Laurent Dinh, David Krueger, 2014, ICLR.

Dynamic Neural Turing Machine with Continuous and Discrete Addressing Schemes

Yoshua Bengio, Kyunghyun Cho, A. P. Sarath Chandar, 2018, Neural Computation.

STDP as presynaptic activity times rate of change of postsynaptic activity

Yoshua Bengio, Asja Fischer, Saizheng Zhang, 2015, 1509.05936.

Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input

Yoshua Bengio, Damien Querlioz, Maxence Ernoult, 2019, NeurIPS.

Recall Traces: Backtracking Models for Efficient Reinforcement Learning pdf

Sergey Levine, Yoshua Bengio, Hugo Larochelle, 2018, ICLR.

An empirical analysis of dropout in piecewise linear networks pdf

Yoshua Bengio, Aaron C. Courville, Ian J. Goodfellow, 2013, ICLR.

Compositional Generalization by Factorizing Alignment and Translation

Yoshua Bengio, Jason Jo, Randall C. O'Reilly, 2020, ACL.

Learning powerful policies and better dynamics models by encouraging consistency

Yoshua Bengio, Tristan Deleu, Anirudh Goyal, 2018 .

Use of genetic programming for the search of a new learning rule for neural networks

Samy Bengio, Yoshua Bengio, Jocelyn Cloutier, 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.

Generalization of Equilibrium Propagation to Vector Field Dynamics pdf

Yoshua Bengio, Jonathan Binas, Anirudh Goyal, 2018, ArXiv.

Unsupervised Sense Disambiguation Using Bilingual Probabilistic Models

Yoshua Bengio, Lise Getoor, Indrajit Bhattacharya, 2004, ACL.

Connectionist Models and their Application to Automatic Speech Recognition

Yoshua Bengio, Renato De Mori, Yoshua Bengio, 1991 .

Deep Graph Infomax pdf

Pietro Liò, Yoshua Bengio, William L. Hamilton, 2018, ICLR.

On random weights for texture generation in one layer CNNS

Yoshua Bengio, Akram Erraqabi, Kundan Kumar, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Unsupervised one-to-many image translation

R Devon Hjelm, Yoshua Bengio, Aaron C. Courville, 2018 .

Montreal Neural Machine Translation Systems for WMT’15

Yoshua Bengio, Orhan Firat, Kyunghyun Cho, 2015, WMT@EMNLP.

Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation

Yoshua Bengio, Kyunghyun Cho, Dzmitry Bahdanau, 2014, SSST@EMNLP.

Convex Neural Networks

Nicolas Le Roux, Pascal Vincent, Yoshua Bengio, 2005, NIPS.

Quick Training of Probabilistic Neural Nets by Importance Sampling

Yoshua Bengio, Jean-Sébastien Senecal, 2003, AISTATS.

Credit Assignment through Time: Alternatives to Backpropagation

Yoshua Bengio, Paolo Frasconi, Yoshua Bengio, 1993, NIPS.

Finding Flatter Minima with SGD

Yoshua Bengio, Amos J. Storkey, Stanislaw Jastrzebski, 2018, ICLR.

Cost functions and model combination for VaR-based asset allocation using neural networks

Nicolas Chapados, Yoshua Bengio, Yoshua Bengio, 2001, IEEE Trans. Neural Networks.

Gradient based sample selection for online continual learning

Yoshua Bengio, Min Lin, Rahaf Aljundi, 2019, NeurIPS.

Globally trained handwritten word recognizer using spatial representation, space displacement neural networks and hidden Markov models

Yoshua Bengio, Yann LeCun, D. Henderson, 1993 .

Recurrent Neural Networks With Limited Numerical Precision pdf

Ying Zhang, Yoshua Bengio, Shih-Chii Liu, 2016, ArXiv.

Object-Centric Image Generation from Layouts pdf

R Devon Hjelm, Yoshua Bengio, Pengchuan Zhang, 2020, AAAI.

Efficient Non-Parametric Function Induction in Semi-Supervised Learning

Nicolas Le Roux, Yoshua Bengio, Olivier Delalleau, 2004, AISTATS.

Shared Context Probabilistic Transducers

Samy Bengio, Yoshua Bengio, Yoram Singer, 1997, NIPS.

Quickly Generating Representative Samples from an RBM-Derived Process

Pascal Vincent, Yoshua Bengio, Olivier Breuleux, 2011, Neural Computation.

Gradient-Based Optimization of Hyperparameters

Yoshua Bengio, Yoshua Bengio, 2000, Neural Computation.

Pattern Recognition

Yoshua Bengio, Yann LeCun, Yoshua Bengio, 1998, Lecture Notes in Computer Science.

Interpolation Consistency Training for Semi-Supervised Learning pdf

Yoshua Bengio, David Lopez-Paz, Juho Kannala, 2019, IJCAI.

Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space

Yoshua Bengio, Jason Yosinski, Alexey Dosovitskiy, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus pdf

Yoshua Bengio, Aaron C. Courville, Alberto García-Durán, 2016, ACL.

Variance Regularizing Adversarial Learning pdf

Yoshua Bengio, R. Devon Hjelm, Karan Grewal, 2017, ArXiv.

Using a Financial Training Criterion Rather than a Prediction Criterion

Yoshua Bengio, Yoshua Bengio, 1997, Int. J. Neural Syst..

The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation

Yoshua Bengio, Adriana Romero, Michal Drozdzal, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

On the Learning Dynamics of Deep Neural Networks pdf

Yoshua Bengio, Aaron C. Courville, Mohammad Pezeshki, 2018, ArXiv.

Deep learning and cultural evolution

Yoshua Bengio, 2014, GECCO.

A semantic matching energy function for learning with multi-relational data

Jason Weston, Yoshua Bengio, Antoine Bordes, 2013, Machine Learning.

Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling pdf

Yoshua Bengio, Kyunghyun Cho, Çaglar Gülçehre, 2014, ArXiv.

A3T: Adversarially Augmented Adversarial Training pdf

Yoshua Bengio, Akram Erraqabi, Simon Lacoste-Julien, 2018, ArXiv.

Bounding the Test Log-Likelihood of Generative Models pdf

Li Yao, Yoshua Bengio, 2014, ICLR.

Straight to the Tree: Constituency Parsing with Neural Syntactic Distance pdf

Yoshua Bengio, Aaron C. Courville, Alessandro Sordoni, 2018, ACL.

Stacked calibration of off-policy policy evaluation for video game matchmaking

Yoshua Bengio, Li Yao, Olivier Delalleau, 2013, 2013 IEEE Conference on Computational Inteligence in Games (CIG).

Challenges in Representation Learning: A Report on Three Machine Learning Contests

Yoshua Bengio, John Shawe-Taylor, Dumitru Erhan, 2013, ICONIP.

An Empirical Study of Example Forgetting during Deep Neural Network Learning pdf

Yoshua Bengio, Geoffrey J. Gordon, Adam Trischler, 2018, ICLR.

Monaural Singing Voice Separation with Skip-Filtering Connections and Recurrent Inference of Time-Frequency Mask

Yoshua Bengio, Gerald Schuller, Tuomas Virtanen, 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Global training of document processing systems using graph transformer networks

Yoshua Bengio, Yann LeCun, Léon Bottou, 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Mastering Rate based Curriculum Learning pdf

Yoshua Bengio, Salem Lahlou, Lucas Willems, 2020, ArXiv.

Memory Augmented Neural Networks with Wormhole Connections pdf

Yoshua Bengio, A. P. Sarath Chandar, Çaglar Gülçehre, 2017, ArXiv.

Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization

Nima Tajbakhsh, Yoshua Bengio, Zongwei Zhou, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Variance Reduction in SGD by Distributed Importance Sampling pdf

Yoshua Bengio, Aaron C. Courville, Alex Lamb, 2015, ArXiv.

Continuous optimization of hyper-parameters

Variational Bi-LSTMs pdf

Yoshua Bengio, Adam Trischler, Devansh Arpit, 2017, ArXiv.

How Transferable Are Features in Convolutional Neural Network Acoustic Models across Languages?

Yoshua Bengio, Daniel Willett, Marc Schönwiesner, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

NYU-MILA Neural Machine Translation Systems for WMT'16

Yoshua Bengio, Kyunghyun Cho, Junyoung Chung, 2016, WMT.

BabyAI 1.1 pdf

Yoshua Bengio, Dzmitry Bahdanau, Maxime Chevalier-Boisvert, 2020, 2007.12770.

A Closer Look at Memorization in Deep Networks pdf

Yoshua Bengio, Tegan Maharaj, Aaron C. Courville, 2017, ICML.

On the Optimization of a Synaptic Learning Rule

Yoshua Bengio, Jan Gecsei, Samy Bengio, 2007 .

Mutual Information Neural Estimation

Yoshua Bengio, Aaron C. Courville, Sherjil Ozair, 2018, ICML.

Fine-grained attention mechanism for neural machine translation pdf

Yoshua Bengio, Kyunghyun Cho, Heeyoul Choi, 2018, Neurocomputing.

Continual Weight Updates and Convolutional Architectures for Equilibrium Propagation pdf

Yoshua Bengio, Damien Querlioz, Maxence Ernoult, 2020, ArXiv.

Modeling term dependencies with quantum language models for IR

Yoshua Bengio, Alessandro Sordoni, Jian-Yun Nie, 2013, SIGIR.

Phonetically-based multi-layered neural networks for vowel classification

Piero Cosi, Yoshua Bengio, Renato De Mori, 1990, Speech Commun..

SampleRNN: An Unconditional End-to-End Neural Audio Generation Model pdf

Yoshua Bengio, Aaron C. Courville, Shubham Jain, 2016, ICLR.

Rethinking Distributional Matching Based Domain Adaptation pdf

Tong Che, Kurt Keutzer, Yoshua Bengio, 2020, ArXiv.

Representational Power of Restricted Boltzmann Machines and Deep Belief Networks

Nicolas Le Roux, Yoshua Bengio, Yoshua Bengio, 2008, Neural Computation.

Unsupervised Feature Learning and Deep Learning: A Review and New Perspectives pdf

Pascal Vincent, Yoshua Bengio, Aaron C. Courville, 2012, ArXiv.

Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling pdf

Tong Che, Yoshua Bengio, Hugo Larochelle, 2020, NeurIPS.

Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing

Jason Weston, Yoshua Bengio, Antoine Bordes, 2012, AISTATS.

On the challenge of learning complex functions.

Yoshua Bengio, Yoshua Bengio, 2007, Progress in brain research.

The Pytorch-kaldi Speech Recognition Toolkit

Titouan Parcollet, Yoshua Bengio, Mirco Ravanelli, 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Stochastic Ratio Matching of RBMs for Sparse High-Dimensional Inputs

Yoshua Bengio, Yann Dauphin, 2013, NIPS.

On the Generalization Capability of Multi-Layered Networks in the Extraction of Speech Properties

Piero Cosi, Yoshua Bengio, Renato De Mori, 1989, IJCAI.

Understanding the difficulty of training deep feedforward neural networks

Yoshua Bengio, Xavier Glorot, Xavier Glorot, 2010, AISTATS.

Entropy Regularization

Yoshua Bengio, Yves Grandvalet, Yoshua Bengio, 2006, Semi-Supervised Learning.

Gaussian Mixture Densities for Classification of Nuclear Power Plant Data

Yoshua Bengio, Jean-Marc Lina, Keith Scott, 1998, Comput. Artif. Intell..

Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies pdf

Yoshua Bengio, Jason Jo, Andrea Lodi, 2020, AAAI.

Better Mixing via Deep Representations

Yoshua Bengio, Yann Dauphin, Grégoire Mesnil, 2012, ICML.

Untangling tradeoffs between recurrence and self-attention in artificial neural networks

Yoshua Bengio, Anirudh Goyal, Giancarlo Kerg, 2020, NeurIPS.

Boosting Neural Networks

Yoshua Bengio, Holger Schwenk, Yoshua Bengio, 2000, Neural Computation.

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning pdf

Yoshua Bengio, Bernhard Scholkopf, Stefan Bauer, 2020, ICLR.

Using Artificial Intelligence to Visualize the Impacts of Climate Change

Theresa-Marie Rhyne, Yoshua Bengio, Alexandra Luccioni, 2021, IEEE Computer Graphics and Applications.

Deep learning for AI

Geoffrey E. Hinton, Yoshua Bengio, Yann Lecun, 2021, Commun. ACM.

An Analysis of the Adaptation Speed of Causal Models

Yoshua Bengio, Simon Lacoste-Julien, Rémi Le Priol, 2020, AISTATS.

The Causal-Neural Connection: Expressiveness, Learnability, and Inference pdf

Yoshua Bengio, Elias Bareinboim, Kai-Zhan Lee, 2021, ArXiv.

Saliency is a Possible Red Herring When Diagnosing Poor Generalization

Yoshua Bengio, Joseph Paul Cohen, Francis Dutil, 2021, ICLR.

ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods pdf

Yoshua Bengio, Gautier Cosne, Sunand Raghupathi, 2021, ICLR.

Recurrent Independent Mechanisms pdf

Bernhard Schölkopf, Sergey Levine, Yoshua Bengio, 2021, ICLR.

DEUP: Direct Epistemic Uncertainty Prediction pdf

Yoshua Bengio, Moksh Jain, Jarrid Rector-Brooks, 2021, ArXiv.

Dynamic Inference with Neural Interpreters pdf

Yoshua Bengio, Bernhard Scholkopf, Muhammad Waleed Gondal, 2021, NeurIPS.

Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models pdf

Yoshua Bengio, David Krueger, Joseph Viviano, 2021, ArXiv.

Graph Neural Networks with Learnable Structural and Positional Representations pdf

Xavier Bresson, Yoshua Bengio, Vijay Prakash Dwivedi, 2021, ArXiv.

hBERT + BiasCorp - Fighting Racism on the Web pdf

Yoshua Bengio, Zhuang Ma, Yang Xie, 2021, LTEDI.

From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence pdf

Oliver Brock, Marc Toussaint, Stefan Schaal, 2021, ArXiv.

Compositional Attention: Disentangling Search and Retrieval pdf

Yoshua Bengio, Irina Rish, Guillaume Lajoie, 2021, ArXiv.

Towards Causal Representation Learning

Yoshua Bengio, Francesco Locatello, Anirudh Goyal, 2021, ArXiv.

Chunked Autoregressive GAN for Conditional Waveform Synthesis pdf

Yoshua Bengio, Aaron C. Courville, Aaron Courville, 2021, ArXiv.

Properties from Mechanisms: An Equivariance Perspective on Identifiable Representation Learning pdf

Yoshua Bengio, Kartik Ahuja, Jason S. Hartford, 2021, ICLR.

SpeechBrain: A General-Purpose Speech Toolkit pdf

Titouan Parcollet, Yoshua Bengio, Renato De Mori, 2021, ArXiv.

Object-Centric Image Generation from Layouts pdf

R Devon Hjelm, Yoshua Bengio, Pengchuan Zhang, 2021, AAAI.

Multi-scale Feature Learning Dynamics: Insights for Double Descent pdf

Yoshua Bengio, Mohammad Pezeshki, Guillaume Lajoie, 2021, ICML.

Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization pdf

Yoshua Bengio, Ethan Caballero, Kartik Ahuja, 2021, ArXiv.

Unifying Likelihood-free Inference with Black-box Sequence Design and Beyond pdf

Yoshua Bengio, Aaron Courville, Dinghuai Zhang, 2021, ArXiv.

Test Sample Accuracy Scales with Training Sample Density in Neural Networks pdf

Razvan Pascanu, Yoshua Bengio, Andrea Vedaldi, 2021, CoLLAs.

GFlowNet Foundations pdf

Yoshua Bengio, Tristan Deleu, Emmanuel Bengio, 2021, ArXiv.

BigBrain 3D atlas of cortical layers: cortical and laminar thickness gradients diverge in sensory and motor cortices

Yoshua Bengio, Joseph Paul Cohen, Alan C. Evans, 2019 .

A Hybrid Pareto Model for Asymmetric Fat-Tail Data

Yoshua Bengio, Julie Carreau, Yoshua Bengio, 2006 .

Valorisation d'Options par Optimisation du Sharpe Ratio

Nicolas Chapados, Yoshua Bengio, Réjean Ducharme, 2002 .

Découpage thématique des conversations : un outil d'aide à l'extraction

Yoshua Bengio, Narjès Boufaden, Guy Lapalme, 2002 .

On Out-of-Sample Statistics for Time-Series

Yoshua Bengio, Francois Gingras, Claude Nadeau, 2002 .

On Catastrophic Interference in Atari 2600 Games pdf

Yoshua Bengio, Hugo Larochelle, Marc G. Bellemare, 2020, ArXiv.

Gaussian Mixtures with Missing Data: an Ecien t EM Training Algorithm

Yoshua Bengio, Aaron Courville, Olivier Delalleau, 1994 .

SGD Smooths The Sharpest Directions

Yoshua Bengio, Amos Storkey, Asja Fischer, 2018 .

Machines Who Learn.

Yoshua Bengio, 2016, Scientific American.

The AI Driving Olympics at NIPS 2018

Magnus Egerstedt, Emilio Frazzoli, Yoshua Bengio, 2022 .

Benchmarking Graph Neural Networks pdf

Xavier Bresson, Yoshua Bengio, Vijay Prakash Dwivedi, 2020, ArXiv.

Reinforcement Learning for Sustainable Agriculture

Yoshua Bengio, Jonathan Binas, Yoshua Bengio, 2019 .

COVI White Paper pdf

Yoshua Bengio, Tristan Deleu, Tegan Maharaj, 2020, ArXiv.

Convergence Properties of the K-means Algorithms L Eon Bottou

Yoshua Bengio, Yoshua Bengio, 1995 .

Extended Semantic Tagging for Entity Extraction

Yoshua Bengio, Guy Lapalme, Narjès Boufaden, .

Use machine learning to find energy materials

Alán Aspuru-Guzik, Yoshua Bengio, Jennifer N. Wei, 2017, Nature.

Multi-Task Learning For Option Pricing

Yoshua Bengio, Joumana Ghosn, 2002 .

Missing Data with Recurrent Networks Handling Asynchronous or Missing Data with Recurrent Networks

Yoshua Bengio, Salah El Hihi, Sylvain Gauthier, 1998 .

Combining Model-based and Model-free RL via Multi-step Control Variates

Sergey Levine, Yoshua Bengio, Yuchen Lu, 2018 .

Régularisation du prix des options : Stacking

Yoshua Bengio, Olivier Bardou, 2002 .

A Dataset of Topic-Oriented Human-to-Chatbot Dialogues

Alexander I. Rudnicky, Alan W Black, Yoshua Bengio, 2018 .

Generalizing to a zero-data task : a computational chemistry case study

Yoshua Bengio, Dumitru Erhan, Yoshua Bengio, 2006 .

Mode Regularized Generative Adversarial Networks

Yoshua Bengio, Yanran Li, Tong Che, 2016, ICLR.

COVI White Paper-Version 1.1

Yoshua Bengio, Tristan Deleu, Tegan Maharaj, 2020 .

Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling pdf

Yoshua Bengio, Hugo Larochelle, Liam Paull, 2020, NeurIPS.

Non-parametric Regression between Riemannian Manifolds

Dale Schuurmans, Yoshua Bengio, Léon Bottou, 2009, NIPS 2009.

Automated segmentation of cortical layers in BigBrain reveals divergent cortical and laminar thickness gradients in sensory and motor cortices.

Yoshua Bengio, Joseph Paul Cohen, Alan C. Evans, 2019 .