Dumitru Erhan

发表

High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks

Ruben Villegas, Arkanath Pathak, Harini Kannan, 2019, NeurIPS.

Doubly Robust Policy Evaluation and Optimization pdf

John Langford, Dumitru Erhan, Miroslav Dudík, 2014, ArXiv.

Hierarchical Long-term Video Prediction without Supervision

Ruben Villegas, Dumitru Erhan, Honglak Lee, 2018, ICML.

Intriguing properties of neural networks pdf

Joan Bruna, Dumitru Erhan, Wojciech Zaremba, 2013, ICLR.

Deep Neural Networks for Object Detection

Dumitru Erhan, Christian Szegedy, Alexander Toshev, 2013, NIPS.

Deep Learning using Robust Interdependent Codes

Pascal Vincent, Dumitru Erhan, Hugo Larochelle, 2009, AISTATS.

Show and Tell: Lessons Learned from the 2015 MSCOCO Image Captioning Challenge

Dumitru Erhan, Oriol Vinyals, Alexander Toshev, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Exploration of combining ESN learning with gradient-descent RNN learning techniques A Bachelor of Science thesis

Dumitru Erhan, 2004 .

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

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

Going deeper with convolutions

Dumitru Erhan, Dragomir Anguelov, Pierre Sermanet, 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Learning how to explain neural networks: PatternNet and PatternAttribution

Klaus-Robert Müller, Dumitru Erhan, Been Kim, 2017, ICLR.

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

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

The (Un)reliability of saliency methods

Dumitru Erhan, Been Kim, Sven Dähne, 2017, Explainable AI.

Zero-data Learning of New Tasks

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

Sample-efficient Nonstationary Policy Evaluation for Contextual Bandits

John Langford, Dumitru Erhan, Miroslav Dudík, 2012, UAI.

Model-Based Reinforcement Learning for Atari pdf

Sergey Levine, Dumitru Erhan, Roy H. Campbell, 2019, ICLR.

Visualizing Higher-Layer Features of a Deep Network

Pascal Vincent, Yoshua Bengio, Dumitru Erhan, 2009 .

Using Web Co-occurrence Statistics for Improving Image Categorization pdf

Samy Bengio, Dumitru Erhan, Quoc V. Le, 2013, ArXiv.

SSD: Single Shot MultiBox Detector

Wei Liu, Dumitru Erhan, Dragomir Anguelov, 2015, ECCV.

Evaluating Feature Importance Estimates pdf

Dumitru Erhan, Been Kim, Pieter-Jan Kindermans, 2018, ArXiv.

VideoFlow: A Flow-Based Generative Model for Video

Sergey Levine, Dumitru Erhan, Chelsea Finn, 2019, ArXiv.

Deep Learners Benefit More from Out-of-Distribution Examples

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

Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks

Dumitru Erhan, Nathan Silberman, David Dohan, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

A Benchmark for Interpretability Methods in Deep Neural Networks

Dumitru Erhan, Been Kim, Pieter-Jan Kindermans, 2018, NeurIPS.

Training Deep Neural Networks on Noisy Labels with Bootstrapping pdf

Dumitru Erhan, Honglak Lee, Dragomir Anguelov, 2014, ICLR.

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

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

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

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

Models, Pixels, and Rewards: Evaluating Design Trade-offs in Visual Model-Based Reinforcement Learning pdf

Harini Kannan, Dumitru Erhan, Sergey Levine, 2020, ArXiv.

Show and tell: A neural image caption generator

Samy Bengio, Dumitru Erhan, Oriol Vinyals, 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Scalable Object Detection Using Deep Neural Networks

Dumitru Erhan, Dragomir Anguelov, Christian Szegedy, 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

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..

Domain Separation Networks

George Trigeorgis, Dumitru Erhan, Nathan Silberman, 2016, NIPS.

Why Does Unsupervised Pre-training Help Deep Learning?

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

SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving

Dumitru Erhan, Dragomir Anguelov, Pei Sun, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Stochastic Variational Video Prediction pdf

Sergey Levine, Dumitru Erhan, Roy H. Campbell, 2017, ICLR.

Deep Self-Taught Learning for Handwritten Character Recognition pdf

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

Unsupervised Hierarchical Video Prediction

Dumitru Erhan, Honglak Lee, Nevan Wichers, 2018 .

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

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

Scalable, High-Quality Object Detection pdf

Dumitru Erhan, Dragomir Anguelov, Christian Szegedy, 2014, ArXiv.

High Fidelity Video Prediction with Large Neural Nets

Ruben Villegas, Arkanath Pathak, Harini Kannan, 2019, NeurIPS 2019.

Aggregate features and ADABOOST for music classification

Douglas Eck, Dumitru Erhan, Balázs Kégl, 2006, Machine Learning.

FitVid: Overfitting in Pixel-Level Video Prediction pdf

Sergey Levine, Dumitru Erhan, Chelsea Finn, 2021, ArXiv.

Collaborative filtering techniques for drug discovery

Dumitru Erhan, D. Erhan, 2006 .

Generalizing to a zero-data task : a computational chemistry case study

Yoshua Bengio, Dumitru Erhan, Yoshua Bengio, 2006 .