Yann LeCun

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

Indoor semantic segmentation using depth information: 1st International Conference on Learning Representations, ICLR 2013

Yann LeCun, Camille Couprie, Clément Farabet, 2013, ICLR 2013.

Deep Learning Made Easier by Linear Transformations in Perceptrons

Tapani Raiko, Harri Valpola, Yann LeCun, 2012, AISTATS.

Efficient object localization using Convolutional Networks

Jonathan Tompson, Yann LeCun, Ross Goroshin, 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Open Problem: The landscape of the loss surfaces of multilayer networks

Yann LeCun, Anna Choromanska, Gérard Ben Arous, 2015, COLT.

Global Map Long Range Vision ( FAROD ) Cameras Vehicle Map Global planner Route to goal Global Map Goal Local candidates

Urs A. Muller, Yann LeCun, Raia Hadsell, 2007 .

Ask the locals: Multi-way local pooling for image recognition

Nicolas Le Roux, Jean Ponce, Y-Lan Boureau, 2011, 2011 International Conference on Computer Vision.

Object Recognition with Gradient-Based Learning

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

Adaptive long range vision in unstructured terrain

Yann LeCun, Raia Hadsell, Pierre Sermanet, 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Learning Sparse and Invariant Features Hierarchies

Yann LeCun, Fu Jie Huang, 2007 .

DeSIGN: Design Inspiration from Generative Networks pdf

Yann LeCun, Camille Couprie, Antoine Bordes, 2018, ECCV Workshops.

Hardware requirements for neural-net optical character recognition

Isabelle Guyon, Lawrence D. Jackel, Yann LeCun, 1990, 1990 IJCNN International Joint Conference on Neural Networks.

Boxlets: A Fast Convolution Algorithm for Signal Processing and Neural Networks

Yann LeCun, Patrice Y. Simard, Léon Bottou, 1998, NIPS.

Dynamic auto-encoders for semantic indexing

Marc'Aurelio Ranzato, Yann LeCun, Piotr Mirowski, 2010 .

Efficient conversion of digital documents to multilayer raster formats

Yann LeCun, Léon Bottou, Patrick Haffner, 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

On the application of multimedia processing to telecommunications

Behzad Shahraray, Yann LeCun, Lawrence R. Rabiner, 1997, Proceedings of International Conference on Image Processing.

Improving generalization performance using double backpropagation

Harris Drucker, Yann LeCun, Yann LeCun, 1992, IEEE Trans. Neural Networks.

Regularized estimation of image statistics by Score Matching

Yann LeCun, Diederik P. Kingma, Yann LeCun, 2010, NIPS.

1.1 Deep Learning Hardware: Past, Present, and Future

Yann LeCun, Yann LeCun, 2019, 2019 IEEE International Solid- State Circuits Conference - (ISSCC).

Proceedings : 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition : CVPR 2006 : June 17-22, 2006, New York, NY

Yann LeCun, Andrew Fitzgibbon, C. J. Taylor, 2006 .

Second Order Properties of Error Surfaces

Yann LeCun, Ido Kanter, Sara A. Solla, 1990, NIPS.

Signal recovery from Pooling Representations

Joan Bruna, Yann LeCun, Arthur Szlam, 2013, ICML.

Modeles connexionnistes de l'apprentissage

Yann LeCun, F. Fogelman Soulie, Yann LeCun, 1987 .

An FPGA-based stream processor for embedded real-time vision with Convolutional Networks

Yann LeCun, Clément Farabet, Cyril Poulet, 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

Very Deep Convolutional Networks for Natural Language Processing pdf

Yann LeCun, Holger Schwenk, Loïc Barrault, 2016, ArXiv.

Editorial

Andrew W. Fitzgibbon, Yann LeCun, Camillo J. Taylor, 2008, International Journal of Computer Vision.

A hierarchical loss and its problems when classifying non-hierarchically

Mark Tygert, Yann LeCun, Cinna Wu, 2017, PloS one.

Time Series Modeling with Hidden Variables and Gradient-Based Algorithms

Yann LeCun, Piotr Mirowski, Yann LeCun, 2010 .

Deep learning with Elastic Averaging SGD

Yann LeCun, Anna Choromanska, Sixin Zhang, 2014, NIPS.

Reading handwritten digits: a ZIP code recognition system

Lawrence D. Jackel, Yann LeCun, Edwin P. D. Pednault, 1992, Computer.

Explorations on high dimensional landscapes pdf

Yann LeCun, Levent Sagun, V. Ugur Güney, 2014, ICLR.

Computing the stereo matching cost with a convolutional neural network

Yann LeCun, Jure Zbontar, Yann LeCun, 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation

Joan Bruna, Yann LeCun, Wojciech Zaremba, 2014, NIPS.

Fast Incremental Learning for Off-Road Robot Navigation pdf

Lawrence D. Jackel, Yann LeCun, Beat Flepp, 2016, ArXiv.

Learning Convolutional Feature Hierarchies for Visual Recognition

Y-Lan Boureau, Yann LeCun, Koray Kavukcuoglu, 2010, NIPS.

Convolutional networks for images, speech, and time series

Yoshua Bengio, Yann LeCun, Yoshua Bengio, 1998 .

Scaling learning algorithms towards AI

Yoshua Bengio, Yann LeCun, Yoshua Bengio, 2007 .

Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches

Yann LeCun, Jure Zbontar, Yann LeCun, 2015, J. Mach. Learn. Res..

Deep Convolutional Networks on Graph-Structured Data pdf

Joan Bruna, Yann LeCun, Mikael Henaff, 2015, ArXiv.

Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic pdf

Yann LeCun, Mikael Henaff, Alfredo Canziani, 2019, ICLR.

Structured sparse coding via lateral inhibition

Yann LeCun, Arthur Szlam, Karol Gregor, 2011, NIPS.

Learning to Linearize Under Uncertainty

Yann LeCun, Michaël Mathieu, Ross Goroshin, 2015, NIPS.

Toward automatic phenotyping of developing embryos from videos

Yann LeCun, Léon Bottou, Paolo Emilio Barbano, 2005, IEEE Transactions on Image Processing.

Improving the convergence of back-propagation learning with second-order methods

Yann LeCun, Suzanna Becker, Yann LeCun, 1989 .

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

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

Text Understanding from Scratch pdf

Xiang Zhang, Yann LeCun, Yann LeCun, 2015, ArXiv.

Pattern Recognition and Neural Networks

Yoshua Bengio, Yann LeCun, Yoshua Bengio, 1995 .

The NIPS workshop on Deep Learning and Unsupervised Feature Learning

Tapani Raiko, Harri Valpola, Yann LeCun, 2011 .

Multimedia Processing for Advanced Communications Services

Yann LeCun, Barry G. Haskell, Lawrence R. Rabiner, 1999 .

Memory-based character recognition using a transformation invariant metric

Yann LeCun, Patrice Y. Simard, John S. Denker, 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5).

Learning processes in an asymmetric threshold network

Yann LeCun, Yann LeCun, 1986 .

EBLearn: Open-Source Energy-Based Learning in C++

Yann LeCun, Koray Kavukcuoglu, Pierre Sermanet, 2009, 2009 21st IEEE International Conference on Tools with Artificial Intelligence.

Discriminative feature and model design for automatic speech recognition

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

Off-Road Obstacle Avoidance through End-to-End Learning

Yann LeCun, Beat Flepp, Jan Ben, 2005, NIPS.

OPTICAL CHARACTER RECOGNTION FOR AUTOMATIC TELLER MACHINES

Lawrence D. Jackel, Yann LeCun, C. E. Stenard, 1998 .

Regularization of Neural Networks using DropConnect

Yann LeCun, Li Wan, Rob Fergus, 2013, ICML.

Semantic Road Segmentation via Multi-scale Ensembles of Learned Features

Yann LeCun, Theo Gevers, Antonio M. López, 2012, ECCV Workshops.

Feature learning and deep architectures: new directions for music informatics

Yann LeCun, Juan Pablo Bello, Eric J. Humphrey, 2013, Journal of Intelligent Information Systems.

What is the Best Feature Learning Procedure in Hierarchical Recognition Architectures? pdf

Yann LeCun, Koray Kavukcuoglu, Karol Gregor, 2016, ArXiv.

Unsupervised Learning of Spatiotemporally Coherent Metrics

Jonathan Tompson, Joan Bruna, Yann LeCun, 2014, 2015 IEEE International Conference on Computer Vision (ICCV).

Using curvature information to improve back-propagation

Yann LeCun, Yann LeCun, 1988, Neural Networks.

Fast Convolutional Nets With fbfft: A GPU Performance Evaluation pdf

Jeff Johnson, Yann LeCun, Nicolas Vasilache, 2014, ICLR.

Design of a neural network character recognizer for a touch terminal

Isabelle Guyon, Yann LeCun, John S. Denker, 1991, Pattern Recognit..

Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs pdf

Yann LeCun, Li Jing, Max Tegmark, 2016, ICML.

Differentially- and non-differentially-private random decision trees pdf

Yann LeCun, Mariusz Bojarski, Krzysztof Choromanski, 2014, ArXiv.

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-.

Efficient Pattern Recognition Using a New Transformation Distance

Yann LeCun, Patrice Y. Simard, John S. Denker, 1992, NIPS.

Learning with Reflective Likelihoods

Yann LeCun, David M. Blei, Kyunghyun Cho, 2018 .

Fast Approximation of Rotations and Hessians matrices pdf

Yann LeCun, Michaël Mathieu, Michaël Mathieu, 2014, ArXiv.

FAST INCREMENTAL LEARNING FOR AUTONOMOUS GROUND NAVIGATION

Yann LeCun, Beat Flepp, L. D. Jackel, 2015 .

Unsupervised Learning of Sparse Features for Scalable Audio Classification

Yann LeCun, Koray Kavukcuoglu, Mikael Henaff, 2011, ISMIR.

A multirange architecture for collision‐free off‐road robot navigation

Yann LeCun, Raia Hadsell, Pierre Sermanet, 2009, J. Field Robotics.

Efficient Learning of Sparse Invariant Representations pdf

Yann LeCun, Karol Gregor, Yann LeCun, 2011, ArXiv.

Online Learning for Offroad Robots: Spatial Label Propagation to Learn Long-Range Traversability

Yann LeCun, Raia Hadsell, Pierre Sermanet, 2007, Robotics: Science and Systems.

A Mathematical Motivation for Complex-Valued Convolutional Networks

Mark Tygert, Joan Bruna, Yann LeCun, 2015, Neural Computation.

Learning Feature Hierarchies for Object Recognition

Yann LeCun, Koray Kavukcuoglu, K. Kavukcuoglu, 2010 .

A Unified Energy-Based Framework for Unsupervised Learning

Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun, 2007, AISTATS.

Signature Verification Using A "Siamese" Time Delay Neural Network

Yann LeCun, Isabelle Guyon, Eduard Säckinger, 1993, Int. J. Pattern Recognit. Artif. Intell..

Hardware accelerated convolutional neural networks for synthetic vision systems

Berin Martini, Eugenio Culurciello, Yann LeCun, 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.

SPEED-RANGE DILEMMAS FOR VISION-BASED NAVIGATION IN UNSTRUCTURED TERRAIN

Urs A. Muller, Yann LeCun, Beat Flepp, 2007 .

Learning methods for generic object recognition with invariance to pose and lighting

Yann LeCun, Léon Bottou, Fu Jie Huang, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Gradient-based learning applied to document recognition

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

Learning Invariant Feature Hierarchies

Yann LeCun, Yann LeCun, 2012, ECCV Workshops.

Assignment 2 - Deep Learning with Sparse Coding

Xiang Zhang, Yann LeCun, John Langford, 2013 .

Adaptive learning rates and parallelization for stochastic, sparse, non-smooth gradients pdf

Tom Schaul, Yann LeCun, T. Schaul, 2013, ICLR.

Universal halting times in optimization and machine learning

Yann LeCun, Levent Sagun, Thomas Trogdon, 2015, 1511.06444.

Large-scale Learning with SVM and Convolutional for Generic Object Categorization

Yann LeCun, Fu Jie Huang, F. Huang, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Scene parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers pdf

Yann LeCun, Camille Couprie, Clément Farabet, 2012, ICML.

Message from the Program and General Chairs

Yann LeCun, Camillo J. Taylor, Daniel P. Huttenlocher, 2006, CVPR.

Convolutional neural networks applied to house numbers digit classification

Yann LeCun, Pierre Sermanet, Soumith Chintala, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

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).

Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition

Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Memoires associatives distribuees: Une comparaison (Distributed associative memories: A comparison)

Yann LeCun, Patrick Gallinari, S. Thiria, 1987 .

Character-level Convolutional Networks for Text Classification

Xiang Zhang, Yann LeCun, Junbo Jake Zhao, 2015, NIPS.

Traffic sign recognition with multi-scale Convolutional Networks

Yann LeCun, Pierre Sermanet, Pierre Sermanet, 2011, The 2011 International Joint Conference on Neural Networks.

Hybrid hessians for flexible optimization of pose graphs

Yann LeCun, Dragomir Anguelov, Matthew Koichi Grimes, 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Automatic recognition of biological particles in microscopic images

Pietro Perona, Marc'Aurelio Ranzato, Yann LeCun, 2007, Pattern Recognit. Lett..

Neural Network Applications in Character Recognition and Document Analysis

Lawrence D. Jackel, Yann LeCun, Jan Ben, 1994 .

Large Scale Online Learning

Yann LeCun, Léon Bottou, L. Bottou, 2003, NIPS.

Une procedure d'apprentissage pour reseau a seuil asymmetrique (A learning scheme for asymmetric threshold networks)

Yann LeCun, Yann LeCun, 1985 .

Saturating Auto-Encoders

Yann LeCun, Rostislav Goroshin, Yann LeCun, 2013, ICLR 2013.

Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation

Jonathan Tompson, Yann LeCun, Christoph Bregler, 2014, NIPS.

Simultaneous Learning of Trees and Representations for Extreme Classification, with Application to Language Modeling pdf

Yann LeCun, Anna Choromanska, David Sontag, 2016, ArXiv.

Deep learning with elastic averaging SGD: 3rd International Conference on Learning Representations, ICLR 2015

Yann LeCun, Anna Choromanska, Sixin Zhang, 2015, ICLR 2015.

Dynamic Factor Graphs for Time Series Modeling

Yann LeCun, Piotr W. Mirowski, Yann LeCun, 2009, ECML/PKDD.

Large-Scale FPGA-based Convolutional Networks

Berin Martini, Eugenio Culurciello, Yann LeCun, 2011 .

Transformation Invariance in Pattern Recognition - Tangent Distance and Tangent Propagation

Yann LeCun, Patrice Y. Simard, John S. Denker, 2012, Neural Networks: Tricks of the Trade.

Indoor Semantic Segmentation using depth information pdf

Yann LeCun, Camille Couprie, Clément Farabet, 2013, ICLR.

Word normalization for on-line handwritten word recognition

Yoshua Bengio, Yann LeCun, Yoshua Bengio, 1994 .

Eigenvalues of the Hessian in Deep Learning: Singularity and Beyond

Yann LeCun, Levent Sagun, Leon Bottou, 2016, 1611.07476.

MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation

Jonathan Tompson, Yann LeCun, Christoph Bregler, 2014, ACCV.

Spectral Networks and Locally Connected Networks on Graphs pdf

Joan Bruna, Yann LeCun, Wojciech Zaremba, 2013, ICLR.

Multi-Digit Recognition Using a Space Displacement Neural Network

Yann LeCun, Christopher J. C. Burges, Ofer Matan, 1991, NIPS.

Hardware accelerated visual attention algorithm

Berin Martini, Eugenio Culurciello, Yann LeCun, 2011, 2011 45th Annual Conference on Information Sciences and Systems.

A Theoretical Analysis of Feature Pooling in Visual Recognition

Jean Ponce, Y-Lan Boureau, Yann LeCun, 2010, ICML.

Deep multi-scale video prediction beyond mean square error pdf

Yann LeCun, Camille Couprie, Michaël Mathieu, 2015, ICLR.

Learning Fast Approximations of Sparse Coding

Yann LeCun, Karol Gregor, Yann LeCun, 2010, ICML.

Reading checks with multilayer graph transformer networks

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

Learning Representations by Maximizing Compression pdf

Yann LeCun, Karol Gregor, 2011, ArXiv.

Message from the Program and General Chairs

Yann LeCun, Camillo J. Taylor, Daniel P. Huttenlocher, 2006, CVPR.

Singularity of the Hessian in Deep Learning pdf

Yann LeCun, Léon Bottou, Levent Sagun, 2016, ArXiv.

Fast training of convolutional networks through FFTS: International Conference on Learning Representations (ICLR2014), CBLS, April 2014

Yann LeCun, Mikael Henaff, Michael Mathieu, 2014, ICLR 2014.

Learning invariant features through topographic filter maps

Marc'Aurelio Ranzato, Yann LeCun, Koray Kavukcuoglu, 2009, CVPR.

GLoMo: Unsupervised Learning of Transferable Relational Graphs

Yann LeCun, Ruslan Salakhutdinov, William W. Cohen, 2018, NeurIPS.

Deep learning & convolutional networks

Yann LeCun, Yann LeCun, 2015, 2015 IEEE Hot Chips 27 Symposium (HCS).

Discovering the hidden structure of house prices with a non-parametric latent manifold model

Yann LeCun, Andrew Caplin, John Leahy, 2007, KDD '07.

Saturating auto-encoders: International Conference on Learning Representations, ICLR 2013

Yann LeCun, Rostislav Goroshin, Yann LeCun, 2013, ICLR 2013.

Design Inspiration from Generative Networks

Yann LeCun, Camille Couprie, Antoine Bordes, 2018 .

Optimal Brain Damage

Yann LeCun, Sara A. Solla, John S. Denker, 1989, NIPS.

Unsupervised Feature Learning from Temporal Data pdf

Jonathan Tompson, Joan Bruna, Yann LeCun, 2015, ICLR.

Adversarially Regularized Autoencoders for Generating Discrete Structures pdf

Alexander M. Rush, Yann LeCun, Yoon Kim, 2017, ArXiv.

Adversarially Regularized Autoencoders

Alexander M. Rush, Yann LeCun, Yoon Kim, 2017, ICML.

Efficient Learning of Sparse Representations with an Energy-Based Model

Marc'Aurelio Ranzato, Yann LeCun, Christopher S. Poultney, 2006, NIPS.

A Sparse and Locally Shift Invariant Feature Extractor Applied to Document Images

Marc'Aurelio Ranzato, Yann LeCun, 2007, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007).

Model-Based Planning in Discrete Action Spaces pdf

Yann LeCun, Mikael Henaff, William F. Whitney, 2017, ArXiv.

Boosting and Other Ensemble Methods

Harris Drucker, Lawrence D. Jackel, Yann LeCun, 1994, Neural Computation.

Model-Based Planning with Discrete and Continuous Actions

Yann LeCun, Mikael Henaff, William F. Whitney, 2017 .

Neural Information Processing (ICONIP 2013)

Tapani Raiko, Harri Valpola, Yann LeCun, 2013 .

Energy-based Generative Adversarial Network pdf

Yann LeCun, Junbo Jake Zhao, Michaël Mathieu, 2016, ICLR.

Image and video coding—emerging standards and beyond

Yann LeCun, M. Reha Civanlar, Joern Ostermann, 2001 .

High quality document image compression with "DjVu"

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

Guest Editorial: Deep Learning

Geoffrey E. Hinton, Marc'Aurelio Ranzato, Yann LeCun, 2015, International Journal of Computer Vision.

Real-Time Continuous Pose Recovery of Human Hands Using Convolutional Networks

Ken Perlin, Jonathan Tompson, Yann LeCun, 2014, ACM Trans. Graph..

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

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

Which Encoding is the Best for Text Classification in Chinese, English, Japanese and Korean? pdf

Xiang Zhang, Yann LeCun, Yann LeCun, 2017, ArXiv.

Color documents on the Web with DjVu

Pascal Vincent, Yann LeCun, Léon Bottou, 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

What is the best multi-stage architecture for object recognition?

Yann LeCun, Koray Kavukcuoglu, Kevin Jarrett, 2009, 2009 IEEE 12th International Conference on Computer Vision.

OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks pdf

Xiang Zhang, Yann LeCun, Pierre Sermanet, 2013, ICLR.

Very Deep Convolutional Networks for Text Classification

Yann LeCun, Holger Schwenk, Loïc Barrault, 2016, EACL.

Learning on automata networks

Yann LeCun, Patrick Gallinari, S. Thiria, 1987 .

Advances in neural information processing systems: Proceedings of the first 12 conferences (CDROM)

Yann LeCun, Sara A. Solla, Michael I. Jordan, 2001 .

Energy-Based Models in Document Recognition and Computer Vision

Marc'Aurelio Ranzato, Yann LeCun, Sumit Chopra, 2007, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007).

Computeur Vision and Pattern Recognition (CVPR). Conference

Yann LeCun, Camillo J. Taylor, Andrew Fitzgibbon, 2008, CVPR 2008.

Flexible-Cost SLAM

Yann LeCun, Matthew Koichi Grimes, Yann LeCun, 2012 .

Convolutional Matching Pursuit and Dictionary Training pdf

Yann LeCun, Koray Kavukcuoglu, Arthur Szlam, 2010, ArXiv.

Byte-Level Recursive Convolutional Auto-Encoder for Text pdf

Xiang Zhang, Yann LeCun, 2018, ArXiv.

Complex-valued convolutional networks yield data-driven multiscale windowed spectra

Mark Tygert, Joan Bruna, Yann LeCun, 2015 .

Tracking the World State with Recurrent Entity Networks pdf

Jason Weston, Yann LeCun, Antoine Bordes, 2016, ICLR.

Learning long-range vision for autonomous off-road driving

Urs A. Muller, Yann LeCun, Raia Hadsell, 2009 .

Source separation with scattering Non-Negative Matrix Factorization

Joan Bruna, Yann LeCun, Pablo Sprechmann, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Emergence of Complex-Like Cells in a Temporal Product Network with Local Receptive Fields pdf

Yann LeCun, Karol Gregor, Yann LeCun, 2010, ArXiv.

Automatic Learning Rate Maximization in Large Adaptive Machines

Barak A. Pearlmutter, Yann LeCun, Patrice Y. Simard, 1992, NIPS.

NeuFlow: A runtime reconfigurable dataflow processor for vision

Berin Martini, Eugenio Culurciello, Yann LeCun, 2011, CVPR 2011 WORKSHOPS.

Hierarchical loss for classification pdf

Mark Tygert, Yann LeCun, Cinna Wu, 2017, ArXiv.

Disentangling factors of variation in deep representation using adversarial training

Yann LeCun, Junbo Jake Zhao, Aditya Ramesh, 2016, NIPS.

Graph transformer networks for image recognition

Yann LeCun, Léon Bottou, L. Bottou, 2005 .

Comparing dynamics: deep neural networks versus glassy systems

Yann LeCun, Levent Sagun, Matthieu Wyart, 2018, ICML.

High Performance Computer Acoustic Data Accelerator: A New System for Exploring Marine Mammal Acoustics for Big Data Applications pdf

Hervé Glotin, Yann LeCun, Christopher W. Clark, 2015, ArXiv.

Universality in halting time and its applications in optimization pdf

Yann LeCun, Levent Sagun, Thomas Trogdon, 2015, ArXiv.

Learning Long-Range Vision for an Offroad Robot

Yann LeCun, Raia Hadsell, Yann LeCun, 2008 .

Yann LeCun, Raia Hadsell, Sumit Chopra, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

The Loss Surface of Multilayer Networks pdf

Yann LeCun, Anna Choromanska, Mikael Henaff, 2014, ArXiv.

Fast Approximations to Structured Sparse Coding and Applications to Object Classification pdf

Yann LeCun, Arthur Szlam, Karol Gregor, 2012, ECCV.

Predicting Future Instance Segmentations by Forecasting Convolutional Features pdf

Yann LeCun, Camille Couprie, Pauline Luc, 2018, ECCV.

Discriminative recurrent sparse auto-encoders: 1st International Conference on Learning Representations, ICLR 2013

Yann LeCun, Jason Tyler Rolfe, Yann LeCun, 2013, ICLR 2013.

Image and video coding-emerging standards and beyond

Jörn Ostermann, Yann LeCun, Lawrence R. Rabiner, 1998, IEEE Trans. Circuits Syst. Video Technol..

Causal graph-based video segmentation

Yann LeCun, Camille Couprie, Clément Farabet, 2013, 2013 IEEE International Conference on Image Processing.

Discriminative Recurrent Sparse Auto-Encoders pdf

Yann LeCun, Jason Tyler Rolfe, Yann LeCun, 2013, ICLR.

A theoretical framework for back-propagation

Yann LeCun, Yann LeCun, 1988 .

Factor Graphs for Relational Regression

Yann LeCun, Sumit Chopra, S. Chopra, 2008 .

Deep belief net learning in a long-range vision system for autonomous off-road driving

Yann LeCun, Raia Hadsell, Pierre Sermanet, 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Toward real-time indoor semantic segmentation using depth information

Yann LeCun, Camille Couprie, Clément Farabet, 2014 .

Time-Delay Neural Networks and Independent Component Analysis for EEG-Based Prediction of Epileptic Seizures Propagation

Yann LeCun, Deepak Madhavan, Piotr W. Mirowski, 2007, AAAI.

CNP: An FPGA-based processor for Convolutional Networks

Yann LeCun, Clément Farabet, Jefferson Y. Han, 2009, 2009 International Conference on Field Programmable Logic and Applications.

Comparing SVM and convolutional networks for epileptic seizure prediction from intracranial EEG

Yann LeCun, P.W. Mirowski, D. Madhavan, 2008, 2008 IEEE Workshop on Machine Learning for Signal Processing.

Convolutional nets and watershed cuts for real-time semantic Labeling of RGBD videos

Yann LeCun, Camille Couprie, Clément Farabet, 2014, J. Mach. Learn. Res..

Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition pdf

Marc'Aurelio Ranzato, Yann LeCun, Koray Kavukcuoglu, 2010, ArXiv.

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).

Energy-Based Models in Document Recognition and Computer Vision

Marc'Aurelio Ranzato, Yann LeCun, Sumit Chopra, 2007 .

Workshop summary: Workshop on learning feature hierarchies

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

Implicit Rank-Minimizing Autoencoder pdf

Yann LeCun, Li Jing, Jure Zbontar, 2020, NeurIPS.

Sparse Feature Learning for Deep Belief Networks

Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun, 2007, NIPS.

Effiicient BackProp

Yann LeCun, Klaus-Robert Müller, Genevieve B. Orr, 1996, Neural Networks: Tricks of the Trade.

GEMINI: Gradient Estimation Through Matrix Inversion After Noise Injection

Geoffrey E. Hinton, Yann LeCun, Conrad C. Galland, 1988, NIPS.

GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations pdf

Yann LeCun, Ruslan Salakhutdinov, William W. Cohen, 2018, ArXiv.

AAAI Workshop - Technical Report: Preface

Benjamin Kuipers, Clayton T. Morrison, Yann LeCun, 2013, AAAI 2013.

Hardware requirements for neural network pattern classifiers: a case study and implementation

Lawrence D. Jackel, Yann LeCun, Bernhard E. Boser, 1992, IEEE Micro.

Learning maneuver dictionaries for ground robot planning

Urs A. Muller, Yann LeCun, Pierre Sermanet, 2008 .

Measuring the VC-Dimension of a Learning Machine

Yann LeCun, Vladimir Vapnik, Esther Levin, 1994, Neural Computation.

The Boosting Approach to Machine Learning An Overview

Harris Drucker, Lawrence D. Jackel, Yann LeCun, 2003 .

Energy-based Generative Adversarial Networks

Yann LeCun, Junbo Jake Zhao, Michaël Mathieu, 2016, ICLR.

Learning Stable Group Invariant Representations with Convolutional Networks pdf

Joan Bruna, Yann LeCun, Arthur Szlam, 2013, ICLR.

Road Scene Segmentation from a Single Image

Yann LeCun, Theo Gevers, Antonio M. López, 2012, ECCV.

Audio Source Separation with Discriminative Scattering Networks

Joan Bruna, Yann LeCun, Pablo Sprechmann, 2014, LVA/ICA.

Pedestrian Detection with Unsupervised Multi-stage Feature Learning

Yann LeCun, Koray Kavukcuoglu, Pierre Sermanet, 2012, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Very deep multilingual convolutional neural networks for LVCSR

Brian Kingsbury, Yann LeCun, Tom Sercu, 2015, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Mapping and planning under uncertainty in mobile robots with long-range perception

Yann LeCun, Raia Hadsell, Pierre Sermanet, 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Tangent Prop - A Formalism for Specifying Selected Invariances in an Adaptive Network

Yann LeCun, Patrice Y. Simard, John S. Denker, 1991, NIPS.

Handwritten Digit Recognition with a Back-Propagation Network

Lawrence D. Jackel, Yann LeCun, Bernhard E. Boser, 1989, NIPS.

Pushing Stochastic Gradient towards Second-Order Methods -- Backpropagation Learning with Transformations in Nonlinearities

Tapani Raiko, Harri Valpola, Yann LeCun, 2013, ICLR.

DjVu: analyzing and compressing scanned documents for Internet distribution

Yann LeCun, Léon Bottou, Patrick Haffner, 1999, Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318).

Unsupervised Learning of Feature Hierarchies

Marc'Aurelio Ranzato, Yann LeCun, Yann LeCun, 2009 .

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

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

A neural network approach to handprint character recognition

Lawrence D. Jackel, Yann LeCun, Edwin P. D. Pednault, 1991, COMPCON Spring '91 Digest of Papers.

Efficient off-road localization using visually corrected odometry

Yann LeCun, Matthew Koichi Grimes, Yann LeCun, 2009, 2009 IEEE International Conference on Robotics and Automation.

Transformation invariance in pattern recognition: Tangent distance and propagation

Yann LeCun, Patrice Y. Simard, John S. Denker, 2000, Int. J. Imaging Syst. Technol..

Learning about an exponential amount of conditional distributions

Yann LeCun, David Lopez-Paz, Maxime Oquab, 2019, NeurIPS.

Pattern Recognition

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

Moving Beyond Feature Design: Deep Architectures and Automatic Feature Learning in Music Informatics

Yann LeCun, Juan Pablo Bello, Eric J. Humphrey, 2012, ISMIR.

Recurrent Orthogonal Networks and Long-Memory Tasks

Yann LeCun, Arthur Szlam, Mikael Henaff, 2016, ICML.

Universum Prescription: Regularization Using Unlabeled Data

Xiang Zhang, Yann LeCun, Yann LeCun, 2015, AAAI.

Guest Editorial Applications Of Artificial Neural Networks To Image Processing

Aggelos K. Katsaggelos, Rama Chellappa, Sun-Yuan Kung, 1998, IEEE Trans. Image Process..

Generalization and network design strategies

Yann LeCun, Yann LeCun, 1989 .

A general segmentation scheme for DjVu document compression

Yann LeCun, Léon Bottou, Patrick Haffner, 2002 .

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.

Backpropagation for Implicit Spectral Densities pdf

Yann LeCun, Aditya Ramesh, Yann LeCun, 2018, ArXiv.

Off Line Recognition of Handwritten Postal Words Using Neural Networks

Yann LeCun, Jan Ben, Christopher J. C. Burges, 1993, Int. J. Pattern Recognit. Artif. Intell..

Binary embeddings with structured hashed projections

Sanjiv Kumar, Yann LeCun, Mariusz Bojarski, 2015, ICML.

Comparison between Frame-Constrained Fix-Pixel-Value and Frame-Free Spiking-Dynamic-Pixel ConvNets for Visual Processing

Bernabe Linares-Barranco, Eugenio Culurciello, Yann LeCun, 2012, Front. Neurosci..

Convolutional networks and applications in vision

Yann LeCun, Clément Farabet, Koray Kavukcuoglu, 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.

Transformation Invariance in Pattern Recognition-Tangent Distance and Tangent Propagation

Yann LeCun, Patrice Y. Simard, John S. Denker, 1996, Neural Networks: Tricks of the Trade.

Stacked What-Where Auto-encoders pdf

Yann LeCun, Junbo Jake Zhao, Michaël Mathieu, 2015, ArXiv.

A multi-range vision strategy for autonomous offroad navigation

Urs A. Muller, Yann LeCun, Raia Hadsell, 2007 .

Generalization using back-propagation

Yann LeCun, Patrick Gallinari, S. Thiria, 1987 .

Synergistic Face Detection and Pose Estimation with Energy-Based Models

Yann LeCun, Margarita Osadchy, Matthew L. Miller, 2004, J. Mach. Learn. Res..

Real Time Voice Processing with Audiovisual Feedback: Toward Autonomous Agents with Perfect Pitch

Yann LeCun, Daniel D. Lee, Lawrence K. Saul, 2002, NIPS.

Dimensionality Reduction by Learning an Invariant Mapping

Yann LeCun, Raia Hadsell, Sumit Chopra, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

On the applications of multimedia processing to communications

Behzad Shahraray, Yann LeCun, R. V. Cox, 1998, Proc. IEEE.

Backpropagation Applied to Handwritten Zip Code Recognition

Lawrence D. Jackel, Yann LeCun, Bernhard E. Boser, 1989, Neural Computation.

Recurrent Parameter Generators pdf

Yann LeCun, Brian Cheung, Stella X. Yu, 2021, ArXiv.

Learning in High Dimension Always Amounts to Extrapolation pdf

Yann LeCun, Randall Balestriero, Jerome Pesenti, 2021, ArXiv.

Sparse Coding with Multi-Layer Decoders using Variance Regularization pdf

Yann LeCun, Katrina Evtimova, 2021, ArXiv.

Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors

Yann LeCun, Bruno A Olshausen, Yubei Chen, 2021, DEELIO.

Understanding Dimensional Collapse in Contrastive Self-supervised Learning pdf

Yann LeCun, Yuandong Tian, Li Jing, 2021, ICLR.

MDETR - Modulated Detection for End-to-End Multi-Modal Understanding pdf

Yann LeCun, Nicolas Carion, Gabriel Synnaeve, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Neural Manifold Clustering and Embedding

Yann LeCun, Friedrich T. Sommer, Zengyi Li, 2022, ArXiv.

Barlow Twins: Self-Supervised Learning via Redundancy Reduction

Yann LeCun, Ishan Misra, Jure Zbontar, 2021, ICML.

Decoupled Contrastive Learning pdf

Yann LeCun, Cheng-Yao Hong, Chun-Hsiao Yeh, 2021, ArXiv.

VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning pdf

Jean Ponce, Yann LeCun, Adrien Bardes, 2021, ArXiv.

A time delay neural network character recognizer for a touch terminal

Isabelle Guyon, Yann LeCun, Yann LeCun, 1990 .

Predictive network modeling of the high-resolution dynamic plant transcriptome in response to nitrate

Yann LeCun, Gabriel Krouk, Piotr Mirowski, 2010, Genome Biology.

Bio-Inspired Vision Processor for Ultra-Fast Object Categorization

Berin Martini, Eugenio Culurciello, Yann LeCun, 2010 .

The bottlenecks in human letter recognition: a computational model

Yann LeCun, Denis G. Pelli, Olivier J. Hénaff, 2014 .

High-Accuracy Object Recognition with a New Convolutional Net Architecture and Learning Algorithm

Yann LeCun, Koray Kavukcuoglu, Marc’Aurelio Ranzato, 2009 .

Handwritten Digit Recognition: Applications of Neural Net Chips and Automatic Learning

Isabelle Guyon, Yann LeCun, Isabelle Guyon, 1989, NATO Neurocomputing.

No More Pesky Learning Rates : Supplementary Material

Tom Schaul, Yann LeCun, Sixin Zhang, 2013 .

Machine Learning and the Spatial Structure of House Prices and Housing Returns

Yann LeCun, Andrew Caplin, Sumit Chopra, 2008 .

The Mind of a Mouse

Bruce R. Rosen, Terrence J. Sejnowski, Yann LeCun, 2020, Cell.