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Implicit Rank-Minimizing Autoencoder

Oct 14, 2020
Li Jing, Jure Zbontar, Yann LeCun

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Inspirational Adversarial Image Generation

Jun 17, 2019
Morgane Riviere, Olivier Teytaud, Jérémy Rapin, Yann LeCun, Camille Couprie

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Unsupervised Image Matching and Object Discovery as Optimization

Apr 05, 2019
Huy V. Vo, Francis Bach, Minsu Cho, Kai Han, Yann LeCun, Patrick Perez, Jean Ponce

* Accepted to CVPR 2019 

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Learning about an exponential amount of conditional distributions

Feb 22, 2019
Mohamed Ishmael Belghazi, Maxime Oquab, Yann LeCun, David Lopez-Paz

* 8 pages, 7 figures 

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

Jan 08, 2019
Mikael Henaff, Alfredo Canziani, Yann LeCun

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A Spectral Regularizer for Unsupervised Disentanglement

Dec 04, 2018
Aditya Ramesh, Youngduck Choi, Yann LeCun

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

Nov 10, 2018
Xiang Zhang, Yann LeCun

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Predicting Future Instance Segmentation by Forecasting Convolutional Features

Oct 03, 2018
Pauline Luc, Camille Couprie, Yann LeCun, Jakob Verbeek

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DeSIGN: Design Inspiration from Generative Networks

Sep 14, 2018
Othman Sbai, Mohamed Elhoseiny, Antoine Bordes, Yann LeCun, Camille Couprie

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GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations

Jul 02, 2018
Zhilin Yang, Jake Zhao, Bhuwan Dhingra, Kaiming He, William W. Cohen, Ruslan Salakhutdinov, Yann LeCun

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Adversarially Regularized Autoencoders

Jun 29, 2018
Jake Zhao, Yoon Kim, Kelly Zhang, Alexander M. Rush, Yann LeCun

* ICML 2018 

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Backpropagation for Implicit Spectral Densities

Jun 01, 2018
Aditya Ramesh, Yann LeCun

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

May 30, 2018
Behnam Neyshabur, Zhiyuan Li, Srinadh Bhojanapalli, Yann LeCun, Nathan Srebro

* 19 pages, 8 figures 

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A Closer Look at Spatiotemporal Convolutions for Action Recognition

Apr 12, 2018
Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, Manohar Paluri

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Model-Based Planning with Discrete and Continuous Actions

Apr 04, 2018
Mikael Henaff, William F. Whitney, Yann LeCun

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Byte-Level Recursive Convolutional Auto-Encoder for Text

Feb 06, 2018
Xiang Zhang, Yann LeCun

* Rejected from ICLR 2018 

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Prediction Under Uncertainty with Error-Encoding Networks

Nov 30, 2017
Mikael Henaff, Junbo Zhao, Yann LeCun

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Eigenvalues of the Hessian in Deep Learning: Singularity and Beyond

Oct 05, 2017
Levent Sagun, Leon Bottou, Yann LeCun

* ICLR submission, 2016 - updated to match the version 

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

Aug 17, 2017
Xiang Zhang, Yann LeCun

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Predicting Deeper into the Future of Semantic Segmentation

Aug 08, 2017
Pauline Luc, Natalia Neverova, Camille Couprie, Jakob Verbeek, Yann LeCun

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

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Tracking the World State with Recurrent Entity Networks

May 10, 2017
Mikael Henaff, Jason Weston, Arthur Szlam, Antoine Bordes, Yann LeCun

* ICLR 2017 

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Geometric deep learning: going beyond Euclidean data

May 03, 2017
Michael M. Bronstein, Joan Bruna, Yann LeCun, Arthur Szlam, Pierre Vandergheynst

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Entropy-SGD: Biasing Gradient Descent Into Wide Valleys

Apr 21, 2017
Pratik Chaudhari, Anna Choromanska, Stefano Soatto, Yann LeCun, Carlo Baldassi, Christian Borgs, Jennifer Chayes, Levent Sagun, Riccardo Zecchina

* ICLR '17 

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

Apr 03, 2017
Li Jing, Yichen Shen, Tena Dubček, John Peurifoy, Scott Skirlo, Yann LeCun, Max Tegmark, Marin Soljačić

* 9 pages, 4 figures 

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Recurrent Orthogonal Networks and Long-Memory Tasks

Mar 15, 2017
Mikael Henaff, Arthur Szlam, Yann LeCun

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Energy-based Generative Adversarial Network

Mar 06, 2017
Junbo Zhao, Michael Mathieu, Yann LeCun

* Submitted to ICLR 2017 

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Universal halting times in optimization and machine learning

Feb 21, 2017
Levent Sagun, Thomas Trogdon, Yann LeCun

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Universum Prescription: Regularization using Unlabeled Data

Nov 18, 2016
Xiang Zhang, Yann LeCun

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

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Disentangling factors of variation in deep representations using adversarial training

Nov 10, 2016
Michael Mathieu, Junbo Zhao, Pablo Sprechmann, Aditya Ramesh, Yann LeCun

* Conference paper in NIPS 2016 

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