Yann LeCun

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

Mikael Henaff, Alfredo Canziani, Yann LeCun

Adversarially-Trained Normalized Noisy-Feature Auto-Encoder for Text Generation

Xiang Zhang, Yann LeCun

Predicting Future Instance Segmentation by Forecasting Convolutional Features

Pauline Luc, Camille Couprie, Yann LeCun, Jakob Verbeek

DeSIGN: Design Inspiration from Generative Networks

Othman Sbai, Mohamed Elhoseiny, Antoine Bordes, Yann LeCun, Camille Couprie

GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations

Zhilin Yang, Jake Zhao, Bhuwan Dhingra, Kaiming He, William W. Cohen, Ruslan Salakhutdinov, Yann LeCun

Adversarially Regularized Autoencoders

Jake Zhao, Yoon Kim, Kelly Zhang, Alexander M. Rush, Yann LeCun

Comments ICML 2018

Backpropagation for Implicit Spectral Densities

Aditya Ramesh, Yann LeCun

Towards Understanding the Role of Over-Parametrization in Generalization of Neural Networks

Behnam Neyshabur, Zhiyuan Li, Srinadh Bhojanapalli, Yann LeCun, Nathan Srebro

Comments 19 pages, 8 figures

A Closer Look at Spatiotemporal Convolutions for Action Recognition

Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, Manohar Paluri

Model-Based Planning with Discrete and Continuous Actions

Mikael Henaff, William F. Whitney, Yann LeCun

Byte-Level Recursive Convolutional Auto-Encoder for Text

Xiang Zhang, Yann LeCun

Comments Rejected from ICLR 2018

Prediction Under Uncertainty with Error-Encoding Networks

Mikael Henaff, Junbo Zhao, Yann LeCun

Eigenvalues of the Hessian in Deep Learning: Singularity and Beyond

Levent Sagun, Leon Bottou, Yann LeCun

Comments ICLR submission, 2016 - updated to match the openreview.net version

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

Xiang Zhang, Yann LeCun

Predicting Deeper into the Future of Semantic Segmentation

Pauline Luc, Natalia Neverova, Camille Couprie, Jakob Verbeek, Yann LeCun

Comments Accepted to ICCV 2017. Supplementary material available on the authors' webpages

Geometric deep learning: going beyond Euclidean data

Michael M. Bronstein, Joan Bruna, Yann LeCun, Arthur Szlam, Pierre Vandergheynst

Tracking the World State with Recurrent Entity Networks

Mikael Henaff, Jason Weston, Arthur Szlam, Antoine Bordes, Yann LeCun

Journal ref ICLR 2017

Entropy-SGD: Biasing Gradient Descent Into Wide Valleys

Pratik Chaudhari, Anna Choromanska, Stefano Soatto, Yann LeCun, Carlo Baldassi, Christian Borgs, Jennifer Chayes, Levent Sagun, Riccardo Zecchina

Comments ICLR '17

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

Li Jing, Yichen Shen, Tena Dubček, John Peurifoy, Scott Skirlo, Yann LeCun, Max Tegmark, Marin Soljačić

Comments 9 pages, 4 figures

Recurrent Orthogonal Networks and Long-Memory Tasks

Mikael Henaff, Arthur Szlam, Yann LeCun

Energy-based Generative Adversarial Network

Junbo Zhao, Michael Mathieu, Yann LeCun

Comments Submitted to ICLR 2017

Very Deep Convolutional Networks for Text Classification

Alexis Conneau, Holger Schwenk, Loïc Barrault, Yann Lecun

Comments 10 pages, EACL 2017, camera-ready

Universum Prescription: Regularization using Unlabeled Data

Xiang Zhang, Yann LeCun

Comments 7 pages for article, 3 pages for supplemental material. To appear in AAAI-17

Disentangling factors of variation in deep representations using adversarial training

Michael Mathieu, Junbo Zhao, Pablo Sprechmann, Aditya Ramesh, Yann LeCun

Comments Conference paper in NIPS 2016

Binary embeddings with structured hashed projections

Anna Choromanska, Krzysztof Choromanski, Mariusz Bojarski, Tony Jebara, Sanjiv Kumar, Yann LeCun

Comments arXiv admin note: text overlap with arXiv:1505.03190

Fast Incremental Learning for Off-Road Robot Navigation

Artem Provodin, Liila Torabi, Beat Flepp, Yann LeCun, Michael Sergio, L. D. Jackel, Urs Muller, Jure Zbontar

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

Kevin Jarrett, Koray Kvukcuoglu, Karol Gregor, Yann LeCun

Comments 17 pages, 3 figures

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

Jure Žbontar, Yann LeCun

Journal ref JMLR 17(65):1-32, 2016

A mathematical motivation for complex-valued convolutional networks

Joan Bruna, Soumith Chintala, Yann LeCun, Serkan Piantino, Arthur Szlam, Mark Tygert

Comments 11 pages, 3 figures; this is the retitled version submitted to the journal, "Neural Computation"

Journal ref Neural Computation, 28 (5): 815-825, May 2016

Character-level Convolutional Networks for Text Classification

Xiang Zhang, Junbo Zhao, Yann LeCun

Comments An early version of this work entitled "Text Understanding from Scratch" was posted in Feb 2015 as arXiv:1502.01710. The present paper has considerably more experimental results and a rewritten introduction, Advances in Neural Information Processing Systems 28 (NIPS 2015)