Yann LeCun - RankMe

451 papers A* 83A 14B 6C 3Misc 6Journal 238Unranked 92

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Lightweight Library for Energy-Based Joint-Embedding Predictive Architectures. CoRR Basile Terver, Randall Balestriero, Megi Dervishi, David Fan, Quentin Garrido, Tushar Nagarajan, Koustuv Sinha, Wancong Zhang, Mike Rabbat, Yann LeCun, Amir Bar
2026	J	`jnl`	AI Must Embrace Specialization via Superhuman Adaptable Intelligence. CoRR Judah Goldfeder, Philippe Martin Wyder, Yann LeCun, Ravid Shwartz Ziv
2026	J	`jnl`	AI+HW 2035: Shaping the Next Decade. CoRR Deming Chen, Jason Cong, Azalia Mirhoseini, Christos Kozyrakis, Subhasish Mitra, Jinjun Xiong, Cliff Young, Anima Anandkumar, Michael L. Littman, Aron Kirschen, Sophia Shao, Serge Leef, Naresh R. Shanbhag, Dejan S. Milojicic, Michael Schulte, Gert Cauwenberghs, Jerry M. Chow, Tri Dao, Kailash Gopalakrishnan, Richard Ho, Hoshik Kim, Kunle Olukotun, David Z. Pan, Mark Ren, Dan Roth, Aarti Singh, Yizhou Sun, Yusu Wang, Yann LeCun, Ruchir Puri
2026	J	`jnl`	Beyond Language Modeling: An Exploration of Multimodal Pretraining. CoRR Shengbang Tong, David Fan, John Nguyen, Ellis Brown, Gaoyue Zhou, Shengyi Qian, Boyang Zheng, Théophane Vallaeys, Junlin Han, Rob Fergus, Naila Murray, Marjan Ghazvininejad, Mike Lewis, Nicolas Ballas, Amir Bar, Michael Rabbat, Jakob Verbeek, Luke Zettlemoyer, Koustuv Sinha, Yann LeCun, Saining Xie
2026	J	`jnl`	Causal-JEPA: Learning World Models through Object-Level Latent Interventions. CoRR Heejeong Nam, Quentin Le Lidec, Lucas Maes, Yann LeCun, Randall Balestriero
2026	J	`jnl`	LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels. CoRR Lucas Maes, Quentin Le Lidec, Damien Scieur, Yann LeCun, Randall Balestriero
2026	J	`jnl`	Learning Latent Action World Models In The Wild. CoRR Quentin Garrido, Tushar Nagarajan, Basile Terver, Nicolas Ballas, Yann LeCun, Michael Rabbat
2026	J	`jnl`	Parallel Stochastic Gradient-Based Planning for World Models. CoRR Michael Psenka, Michael Rabbat, Aditi Krishnapriyan, Yann LeCun, Amir Bar
2026	J	`jnl`	Radial-VCReg: More Informative Representation Learning Through Radial Gaussianization. CoRR Yilun Kuang, Yash Dagade, Deep Chakraborty, Erik G. Learned-Miller, Randall Balestriero, Tim G. J. Rudner, Yann LeCun
2026	J	`jnl`	Rectified LpJEPA: Joint-Embedding Predictive Architectures with Sparse and Maximum-Entropy Representations. CoRR Yilun Kuang, Yash Dagade, Tim G. J. Rudner, Randall Balestriero, Yann LeCun
2026	J	`jnl`	Representation Learning for Spatiotemporal Physical Systems. CoRR Helen Qu, Rudy Morel, Michael McCabe, Alberto Bietti, François Lanusse, Shirley Ho, Yann LeCun
2026	J	`jnl`	Scaling Text-to-Image Diffusion Transformers with Representation Autoencoders. CoRR Shengbang Tong, Boyang Zheng, Ziteng Wang, Bingda Tang, Nanye Ma, Ellis Brown, Jihan Yang, Rob Fergus, Yann LeCun, Saining Xie
2026	J	`jnl`	Semantic Tube Prediction: Beating LLM Data Efficiency with JEPA. CoRR Hai Huang, Yann LeCun, Randall Balestriero
2026	J	`jnl`	Soft Clustering Anchors for Self-Supervised Speech Representation Learning in Joint Embedding Prediction Architectures. CoRR Georgios Ioannides, Adrian Kieback, Judah Goldfeder, Linsey Pang, Aman Chadha, Aaron Elkins, Yann LeCun, Ravid Shwartz-Ziv
2026	J	`jnl`	Temporal Straightening for Latent Planning. CoRR Ying Wang, Oumayma Bounou, Gaoyue Zhou, Randall Balestriero, Tim G. J. Rudner, Yann LeCun, Mengye Ren
2026	J	`jnl`	The Spike, the Sparse and the Sink: Anatomy of Massive Activations and Attention Sinks. CoRR Shangwen Sun, Alfredo Canziani, Yann LeCun, Jiachen Zhu
2026	J	`jnl`	V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning. CoRR Lorenzo Mur-Labadia, Matthew J. Muckley, Amir Bar, Mido Assran, Koustuv Sinha, Mike Rabbat, Yann LeCun, Nicolas Ballas, Adrien Bardes
2026	J	`jnl`	Value-guided action planning with JEPA world models. CoRR Matthieu Destrade, Oumayma Bounou, Quentin Le Lidec, Jean Ponce, Yann LeCun
2026	J	`jnl`	Why AI systems don't learn and what to do about it: Lessons on autonomous learning from cognitive science. CoRR Emmanuel Dupoux, Yann LeCun, Jitendra Malik
2026	J	`jnl`	stable-worldmodel-v1: Reproducible World Modeling Research and Evaluation. CoRR Lucas Maes, Quentin Le Lidec, Dan Haramati, Nassim Massaudi, Damien Scieur, Yann LeCun, Randall Balestriero
2025	J	`jnl`	Attention Sinks and Compression Valleys in LLMs are Two Sides of the Same Coin. CoRR Enrique Queipo-de-Llano, Alvaro Arroyo, Federico Barbero, Xiaowen Dong, Michael M. Bronstein, Yann LeCun, Ravid Shwartz-Ziv
2025	J	`jnl`	Back to the Features: DINO as a Foundation for Video World Models. CoRR Federico Baldassarre, Marc Szafraniec, Basile Terver, Vasil Khalidov, Francisco Massa, Yann LeCun, Patrick Labatut, Maximilian Seitzer, Piotr Bojanowski
2025	J	`jnl`	Cambrian-S: Towards Spatial Supersensing in Video. CoRR Shusheng Yang, Jihan Yang, Pinzhi Huang, Ellis Brown, Zihao Yang, Yue Yu, Shengbang Tong, Zihan Zheng, Yifan Xu, Muhan Wang, Daohan Lu, Rob Fergus, Yann LeCun, Li Fei-Fei, Saining Xie
2025	J	`jnl`	Closing the Train-Test Gap in World Models for Gradient-Based Planning. CoRR Arjun Parthasarathy, Nimit Kalra, Rohun Agrawal, Yann LeCun, Oumayma Bounou, Pavel Izmailov, Micah Goldblum
2025	A*	`conf`	DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning. ICML Gaoyue Zhou, Hengkai Pan, Yann LeCun, Lerrel Pinto
2025	—	`conf`	Forgotten Polygons: Multimodal Large Language Models are Shape-Blind. ACL (Findings) William Rudman, Michal Golovanevsky, Amir Bar, Vedant Palit, Yann LeCun, Carsten Eickhoff, Ritambhara Singh
2025	J	`jnl`	Forgotten Polygons: Multimodal Large Language Models are Shape-Blind. CoRR William Rudman, Michal Golovanesky, Amir Bar, Vedant Palit, Yann LeCun, Carsten Eickhoff, Ritambhara Singh
2025	J	`jnl`	From Generated Human Videos to Physically Plausible Robot Trajectories. CoRR James Ni, Zekai Wang, Wei Lin, Amir Bar, Yann LeCun, Trevor Darrell, Jitendra Malik, Roei Herzig
2025	J	`jnl`	From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning. CoRR Chen Shani, Dan Jurafsky, Yann LeCun, Ravid Shwartz-Ziv
2025	J	`jnl`	Gaussian Embeddings: How JEPAs Secretly Learn Your Data Density. CoRR Randall Balestriero, Nicolas Ballas, Mike Rabbat, Yann LeCun
2025	A*	`conf`	Hierarchical World Models as Visual Whole-Body Humanoid Controllers. ICLR Nicklas Hansen, Jyothir S. V, Vlad Sobal, Yann LeCun, Xiaolong Wang, Hao Su
2025	A	`conf`	Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization. AISTATS Deep Chakraborty, Yann LeCun, Tim G. J. Rudner, Erik G. Learned-Miller
2025	J	`jnl`	Intuitive physics understanding emerges from self-supervised pretraining on natural videos. CoRR Quentin Garrido, Nicolas Ballas, Mahmoud Assran, Adrien Bardes, Laurent Najman, Michael Rabbat, Emmanuel Dupoux, Yann LeCun
2025	J	`jnl`	JEPA as a Neural Tokenizer: Learning Robust Speech Representations with Density Adaptive Attention. CoRR Georgios Ioannides, Christos Constantinou, Aman Chadha, Aaron Elkins, Linsey Pang, Ravid Shwartz-Ziv, Yann LeCun
2025	J	`jnl`	LLM-JEPA: Large Language Models Meet Joint Embedding Predictive Architectures. CoRR Hai Huang, Yann LeCun, Randall Balestriero
2025	A*	`conf`	Layer by Layer: Uncovering Hidden Representations in Language Models. ICML Oscar Skean, Md Rifat Arefin, Dan Zhao, Niket Patel, Jalal Naghiyev, Yann LeCun, Ravid Shwartz-Ziv
2025	J	`jnl`	Layer by Layer: Uncovering Hidden Representations in Language Models. CoRR Oscar Skean, Md Rifat Arefin, Dan Zhao, Niket Patel, Jalal Naghiyev, Yann LeCun, Ravid Shwartz-Ziv
2025	J	`jnl`	LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics. CoRR Randall Balestriero, Yann LeCun
2025	J	`jnl`	Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models. CoRR Vlad Sobal, Wancong Zhang, Kynghyun Cho, Randall Balestriero, Tim G. J. Rudner, Yann LeCun
2025	A*	`conf`	LiveBench: A Challenging, Contamination-Limited LLM Benchmark. ICLR Colin White, Samuel Dooley, Manley Roberts, Arka Pal, Benjamin Feuer, Siddhartha Jain, Ravid Shwartz-Ziv, Neel Jain, Khalid Saifullah, Sreemanti Dey, Shubh-Agrawal, Sandeep Singh Sandha, Siddartha V. Naidu, Chinmay Hegde, Yann LeCun, Tom Goldstein, Willie Neiswanger, Micah Goldblum
2025	A*	`conf`	Navigation World Models. CVPR Amir Bar, Gaoyue Zhou, Danny Tran, Trevor Darrell, Yann LeCun
2025	J	`jnl`	OSVI-WM: One-Shot Visual Imitation for Unseen Tasks using World-Model-Guided Trajectory Generation. CoRR Raktim Gautam Goswami, Prashanth Krishnamurthy, Yann LeCun, Farshad Khorrami
2025	A*	`conf`	PooDLe🐩: Pooled and dense self-supervised learning from naturalistic videos. ICLR Alex N. Wang, Christopher Hoang, Yuwen Xiong, Yann LeCun, Mengye Ren
2025	A*	`conf`	Rate-In: Information-Driven Adaptive Dropout Rates for Improved Inference-Time Uncertainty Estimation. CVPR Tal Zeevi, Ravid Shwartz-Ziv, Yann LeCun, Lawrence H. Staib, John A. Onofrey
2025	A*	`conf`	RoboPEPP: Vision-Based Robot Pose and Joint Angle Estimation through Embedding Predictive Pre-Training. CVPR Raktim Gautam Goswami, Prashanth Krishnamurthy, Yann LeCun, Farshad Khorrami
2025	J	`jnl`	Scaling Language-Free Visual Representation Learning. CoRR David Fan, Shengbang Tong, Jiachen Zhu, Koustuv Sinha, Zhuang Liu, Xinlei Chen, Michael Rabbat, Nicolas Ballas, Yann LeCun, Amir Bar, Saining Xie
2025	A*	`conf`	Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning. ICLR Md Rifat Arefin, Gopeshh Subbaraj, Nicolas Gontier, Yann LeCun, Irina Rish, Ravid Shwartz-Ziv, Christopher Pal
2025	J	`jnl`	SpidR-Adapt: A Universal Speech Representation Model for Few-Shot Adaptation. CoRR Mahi Luthra, Jiayi Shen, Maxime Poli, Angelo Ortiz, Yosuke Higuchi, Youssef Benchekroun, Martin Gleize, Charles-Éric Saint-James, Dongyan Lin, Phillip Rust, Angel Villar, Surya Parimi, Vanessa Stark, Rashel Moritz, Juan Pino, Yann LeCun, Emmanuel Dupoux
2025	A*	`conf`	Training compute-optimal transformer encoder models. EMNLP Megi Dervishi, Alexandre Allauzen, Gabriel Synnaeve, Yann LeCun
2025	A*	`conf`	Transformers without Normalization. CVPR Jiachen Zhu, Xinlei Chen, Kaiming He, Yann LeCun, Zhuang Liu
2025	J	`jnl`	Transformers without Normalization. CoRR Jiachen Zhu, Xinlei Chen, Kaiming He, Yann LeCun, Zhuang Liu
2025	A*	`conf`	URLOST: Unsupervised Representation Learning without Stationarity or Topology. ICLR Zeyu Yun, Juexiao Zhang, Yann LeCun, Yubei Chen
2025	J	`jnl`	V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning. CoRR Mido Assran, Adrien Bardes, David Fan, Quentin Garrido, Russell Howes, Mojtaba Komeili, Matthew J. Muckley, Ammar Rizvi, Claire Roberts, Koustuv Sinha, Artem Zholus, Sergio Arnaud, Abha Gejji, Ada Martin, Francois Robert Hogan, Daniel Dugas, Piotr Bojanowski, Vasil Khalidov, Patrick Labatut, Francisco Massa, Marc Szafraniec, Kapil Krishnakumar, Yong Li, Xiaodong Ma, Sarath Chandar, Franziska Meier, Yann LeCun, Michael Rabbat, Nicolas Ballas
2025	J	`jnl`	VL-JEPA: Joint Embedding Predictive Architecture for Vision-language. CoRR Delong Chen, Mustafa Shukor, Théo Moutakanni, Willy Chung, Jade Yu, Tejaswi Kasarla, Allen Bolourchi, Yann LeCun, Pascale Fung
2025	J	`jnl`	What Drives Success in Physical Planning with Joint-Embedding Predictive World Models? CoRR Basile Terver, Tsung-Yen Yang, Jean Ponce, Adrien Bardes, Yann LeCun
2025	J	`jnl`	Whole-Body Conditioned Egocentric Video Prediction. CoRR Yutong Bai, Danny Tran, Amir Bar, Yann LeCun, Trevor Darrell, Jitendra Malik
2025	J	`jnl`	World Models Can Leverage Human Videos for Dexterous Manipulation. CoRR Raktim Gautam Goswami, Amir Bar, David Fan, Tsung-Yen Yang, Gaoyue Zhou, Prashanth Krishnamurthy, Michael Rabbat, Farshad Khorrami, Yann LeCun
2025	A*	`conf`	X-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs. ICLR Vlad Sobal, Mark Ibrahim, Randall Balestriero, Vivien Cabannes, Diane Bouchacourt, Pietro Astolfi, Kyunghyun Cho, Yann LeCun
2024	J	`jnl`	Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning. CoRR Théo Moutakanni, Piotr Bojanowski, Guillaume Chassagnon, Céline Hudelot, Armand Joulin, Yann LeCun, Matthew J. Muckley, Maxime Oquab, Marie-Pierre Revel, Maria Vakalopoulou
2024	J	`jnl`	Blockwise Self-Supervised Learning at Scale. Trans. Mach. Learn. Res. Shoaib Ahmed Siddiqui, David Krueger, Yann LeCun, Stéphane Deny
2024	A*	`conf`	Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs. NeurIPS Peter Tong, Ellis Brown, Penghao Wu, Sanghyun Woo, Adithya Iyer, Sai Charitha Akula, Shusheng Yang, Jihan Yang, Manoj Middepogu, Ziteng Wang, Xichen Pan, Rob Fergus, Yann LeCun, Saining Xie
2024	J	`jnl`	Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs. CoRR Shengbang Tong, Ellis Brown, Penghao Wu, Sanghyun Woo, Manoj Middepogu, Sai Charitha Akula, Jihan Yang, Shusheng Yang, Adithya Iyer, Xichen Pan, Austin Wang, Rob Fergus, Yann LeCun, Saining Xie
2024	J	`jnl`	DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning. CoRR Gaoyue Zhou, Hengkai Pan, Yann LeCun, Lerrel Pinto
2024	J	`jnl`	Does Representation Matter? Exploring Intermediate Layers in Large Language Models. CoRR Oscar Skean, Md Rifat Arefin, Yann LeCun, Ravid Shwartz-Ziv
2024	J	`jnl`	Editorial: Learning With Fewer Labels in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. Li Liu, Timothy M. Hospedales, Yann LeCun, Mingsheng Long, Jiebo Luo, Wanli Ouyang, Matti Pietikäinen, Tinne Tuytelaars
2024	—	`conf`	EgoPet: Egomotion and Interaction Data from an Animal's Perspective. ECCV (37) Amir Bar, Arya Bakhtiar, Danny Tran, Antonio Loquercio, Jathushan Rajasegaran, Yann LeCun, Amir Globerson, Trevor Darrell
2024	J	`jnl`	EgoPet: Egomotion and Interaction Data from an Animal's Perspective. CoRR Amir Bar, Arya Bakhtiar, Danny Tran, Antonio Loquercio, Jathushan Rajasegaran, Yann LeCun, Amir Globerson, Trevor Darrell
2024	A*	`conf`	Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs. CVPR Shengbang Tong, Zhuang Liu, Yuexiang Zhai, Yi Ma, Yann LeCun, Saining Xie
2024	J	`jnl`	Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs. CoRR Shengbang Tong, Zhuang Liu, Yuexiang Zhai, Yi Ma, Yann LeCun, Saining Xie
2024	J	`jnl`	Fast and Exact Enumeration of Deep Networks Partitions Regions. CoRR Randall Balestriero, Yann LeCun
2024	A*	`conf`	Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning. NeurIPS Simon Zhai, Hao Bai, Zipeng Lin, Jiayi Pan, Peter Tong, Yifei Zhou, Alane Suhr, Saining Xie, Yann LeCun, Yi Ma, Sergey Levine
2024	J	`jnl`	Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning. CoRR Yuexiang Zhai, Hao Bai, Zipeng Lin, Jiayi Pan, Shengbang Tong, Yifei Zhou, Alane Suhr, Saining Xie, Yann LeCun, Yi Ma, Sergey Levine
2024	A*	`conf`	G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering. NeurIPS Xiaoxin He, Yijun Tian, Yifei Sun, Nitesh V. Chawla, Thomas Laurent, Yann LeCun, Xavier Bresson, Bryan Hooi
2024	J	`jnl`	G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering. CoRR Xiaoxin He, Yijun Tian, Yifei Sun, Nitesh V. Chawla, Thomas Laurent, Yann LeCun, Xavier Bresson, Bryan Hooi
2024	A*	`conf`	GAIA: a benchmark for General AI Assistants. ICLR Grégoire Mialon, Clémentine Fourrier, Thomas Wolf, Yann LeCun, Thomas Scialom
2024	A*	`conf`	Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning. ICLR Xiaoxin He, Xavier Bresson, Thomas Laurent, Adam Perold, Yann LeCun, Bryan Hooi
2024	J	`jnl`	Hierarchical World Models as Visual Whole-Body Humanoid Controllers. CoRR Nicklas Hansen, Jyothir S. V, Vlad Sobal, Yann LeCun, Xiaolong Wang, Hao Su
2024	A*	`conf`	How Learning by Reconstruction Produces Uninformative Features For Perception. ICML Randall Balestriero, Yann LeCun
2024	J	`jnl`	Improving Pre-Trained Self-Supervised Embeddings Through Effective Entropy Maximization. CoRR Deep Chakraborty, Yann LeCun, Tim G. J. Rudner, Erik G. Learned-Miller
2024	J	`jnl`	Just How Flexible are Neural Networks in Practice? CoRR Ravid Shwartz-Ziv, Micah Goldblum, Arpit Bansal, C. Bayan Bruss, Yann LeCun, Andrew Gordon Wilson
2024	J	`jnl`	Learning and Leveraging World Models in Visual Representation Learning. CoRR Quentin Garrido, Mahmoud Assran, Nicolas Ballas, Adrien Bardes, Laurent Najman, Yann LeCun
2024	J	`jnl`	Learning by Reconstruction Produces Uninformative Features For Perception. CoRR Randall Balestriero, Yann LeCun
2024	J	`jnl`	Light-weight Probing of Unsupervised Representations for Reinforcement Learning. RLJ Wancong Zhang, Anthony GX-Chen, Vlad Sobal, Yann LeCun, Nicolas Carion
2024	J	`jnl`	LiveBench: A Challenging, Contamination-Free LLM Benchmark. CoRR Colin White, Samuel Dooley, Manley Roberts, Arka Pal, Benjamin Feuer, Siddhartha Jain, Ravid Shwartz-Ziv, Neel Jain, Khalid Saifullah, Siddartha Naidu, Chinmay Hegde, Yann LeCun, Tom Goldstein, Willie Neiswanger, Micah Goldblum
2024	J	`jnl`	MetaMorph: Multimodal Understanding and Generation via Instruction Tuning. CoRR Shengbang Tong, David Fan, Jiachen Zhu, Yunyang Xiong, Xinlei Chen, Koustuv Sinha, Michael Rabbat, Yann LeCun, Saining Xie, Zhuang Liu
2024	J	`jnl`	Multi-modal AI for comprehensive breast cancer prognostication. CoRR Jan Witowski, Ken Zeng, Joseph Cappadona, Jailan Elayoubi, Elena Diana Chiru, Nancy Chan, Young-Joon Kang, Frederick Howard, Irina Ostrovnaya, Carlos Fernandez-Granda, Freya Schnabel, Ugur Ozerdem, Kangning Liu, Zoe Steinsnyder, Nitya Thakore, Mohammad Sadic, Frank Yeung, Elisa Liu, Theodore Hill, Benjamin Swett, Danielle Rigau, Andrew Clayburn, Valerie Speirs, Marcus Vetter, Lina Sojak, Simone Muenst Soysal, Daniel Baumhoer, Khalil Choucair, Yu Zong, Lina Daoud, Anas Saad, Waleed Abdulsattar, Rafic Beydoun, Jia-Wern Pan, Haslina Makmur, Soo-Hwang Teo, Linda Ma Pak, Victor Angel, Dovile Zilenaite-Petrulaitiene, Arvydas Laurinavicius, Natalie Klar, Brian Piening, Carlo Bifulco, Sun-Young Jun, Jae Pak Yi, Su Hyun Lim, Adam Brufsky, Francisco J. Esteva, Lajos Pusztai, Yann LeCun, Krzysztof J. Geras
2024	J	`jnl`	Navigation World Models. CoRR Amir Bar, Gaoyue Zhou, Danny Tran, Trevor Darrell, Yann LeCun
2024	J	`jnl`	PooDLe: Pooled and dense self-supervised learning from naturalistic videos. CoRR Alex N. Wang, Christopher Hoang, Yuwen Xiong, Yann LeCun, Mengye Ren
2024	J	`jnl`	Rate-In: Information-Driven Adaptive Dropout Rates for Improved Inference-Time Uncertainty Estimation. CoRR Tal Zeevi, Ravid Shwartz-Ziv, Yann LeCun, Lawrence H. Staib, John A. Onofrey
2024	J	`jnl`	Revisiting Feature Prediction for Learning Visual Representations from Video. CoRR Adrien Bardes, Quentin Garrido, Jean Ponce, Xinlei Chen, Michael G. Rabbat, Yann LeCun, Mahmoud Assran, Nicolas Ballas
2024	J	`jnl`	Revisiting Feature Prediction for Learning Visual Representations from Video. Trans. Mach. Learn. Res. Adrien Bardes, Quentin Garrido, Jean Ponce, Xinlei Chen, Michael Rabbat, Yann LeCun, Mido Assran, Nicolas Ballas
2024	J	`jnl`	RoboPEPP: Vision-Based Robot Pose and Joint Angle Estimation through Embedding Predictive Pre-Training. CoRR Raktim Gautam Goswami, Prashanth Krishnamurthy, Yann LeCun, Farshad Khorrami
2024	J	`jnl`	Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning. CoRR Md Rifat Arefin, Gopeshh Subbaraj, Nicolas Gontier, Yann LeCun, Irina Rish, Ravid Shwartz-Ziv, Christopher Pal
2024	A*	`conf`	Stochastic positional embeddings improve masked image modeling. ICML Amir Bar, Florian Bordes, Assaf Shocher, Mido Assran, Pascal Vincent, Nicolas Ballas, Trevor Darrell, Amir Globerson, Yann LeCun
2024	A*	`conf`	The Entropy Enigma: Success and Failure of Entropy Minimization. ICML Ori Press, Ravid Shwartz-Ziv, Yann LeCun, Matthias Bethge
2024	J	`jnl`	The Entropy Enigma: Success and Failure of Entropy Minimization. CoRR Ori Press, Ravid Shwartz-Ziv, Yann LeCun, Matthias Bethge
2024	J	`jnl`	To Compress or Not to Compress - Self-Supervised Learning and Information Theory: A Review. Entropy Ravid Shwartz-Ziv, Yann LeCun
2024	J	`jnl`	Towards a Framework for Openness in Foundation Models: Proceedings from the Columbia Convening on Openness in Artificial Intelligence. CoRR Adrien Basdevant, Camille François, Victor Storchan, Kevin Bankston, Ayah Bdeir, Brian Behlendorf, Mérouane Debbah, Sayash Kapoor, Yann LeCun, Mark Surman, Helen King-Turvey, Nathan Lambert, Stefano Maffulli, Nik Marda, Govind Shivkumar, Justine Tunney
2024	J	`jnl`	Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations. CoRR Rylan Schaeffer, Victor Lecomte, Dhruv Bhandarkar Pai, Andres Carranza, Berivan Isik, Alyssa Unell, Mikail Khona, Thomas E. Yerxa, Yann LeCun, SueYeon Chung, Andrey Gromov, Ravid Shwartz-Ziv, Sanmi Koyejo
2024	—	`conf`	Unsupervised Learning of Structured Representation via Closed-Loop Transcription. CPAL Shengbang Tong, Xili Dai, Yubei Chen, Mingyang Li, Zengyi Li, Brent Yi, Yann LeCun, Yi Ma
2024	J	`jnl`	Video Representation Learning with Joint-Embedding Predictive Architectures. CoRR Katrina Drozdov, Ravid Shwartz-Ziv, Yann LeCun
2024	J	`jnl`	𝕏-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs. CoRR Vlad Sobal, Mark Ibrahim, Randall Balestriero, Vivien Cabannes, Diane Bouchacourt, Pietro Astolfi, Kyunghyun Cho, Yann LeCun
2023	J	`jnl`	A Cookbook of Self-Supervised Learning. CoRR Randall Balestriero, Mark Ibrahim, Vlad Sobal, Ari Morcos, Shashank Shekhar, Tom Goldstein, Florian Bordes, Adrien Bardes, Grégoire Mialon, Yuandong Tian, Avi Schwarzschild, Andrew Gordon Wilson, Jonas Geiping, Quentin Garrido, Pierre Fernandez, Amir Bar, Hamed Pirsiavash, Yann LeCun, Micah Goldblum
2023	A*	`conf`	A Generalization of ViT/MLP-Mixer to Graphs. ICML Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson
2023	A*	`conf`	Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need. ICCV Vivien Cabannes, Léon Bottou, Yann LeCun, Randall Balestriero
2023	J	`jnl`	Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need. CoRR Vivien Cabannes, Léon Bottou, Yann LeCun, Randall Balestriero
2023	—	`conf`	Adapting Grounded Visual Question Answering Models to Low Resource Languages. CVPR Workshops Ying Wang, Jonas Pfeiffer, Nicolas Carion, Yann LeCun, Aishwarya Kamath
2023	A*	`conf`	An Information Theory Perspective on Variance-Invariance-Covariance Regularization. NeurIPS Ravid Shwartz-Ziv, Randall Balestriero, Kenji Kawaguchi, Tim G. J. Rudner, Yann LeCun
2023	J	`jnl`	An Information-Theoretic Perspective on Variance-Invariance-Covariance Regularization. CoRR Ravid Shwartz-Ziv, Randall Balestriero, Kenji Kawaguchi, Tim G. J. Rudner, Yann LeCun
2023	J	`jnl`	Augmented Language Models: a Survey. CoRR Grégoire Mialon, Roberto Dessì, Maria Lomeli, Christoforos Nalmpantis, Ramakanth Pasunuru, Roberta Raileanu, Baptiste Rozière, Timo Schick, Jane Dwivedi-Yu, Asli Celikyilmaz, Edouard Grave, Yann LeCun, Thomas Scialom
2023	J	`jnl`	Augmented Language Models: a Survey. Trans. Mach. Learn. Res. Grégoire Mialon, Roberto Dessì, Maria Lomeli, Christoforos Nalmpantis, Ramakanth Pasunuru, Roberta Raileanu, Baptiste Rozière, Timo Schick, Jane Dwivedi-Yu, Asli Celikyilmaz, Edouard Grave, Yann LeCun, Thomas Scialom
2023	J	`jnl`	Bag of Image Patch Embedding Behind the Success of Self-Supervised Learning. Trans. Mach. Learn. Res. Yubei Chen, Adrien Bardes, Zengyi Li, Yann LeCun
2023	J	`jnl`	Blockwise Self-Supervised Learning at Scale. CoRR Shoaib Ahmed Siddiqui, David Krueger, Yann LeCun, Stéphane Deny
2023	A	`conf`	Compact and Optimal Deep Learning with Recurrent Parameter Generators. WACV Jiayun Wang, Yubei Chen, Stella X. Yu, Brian Cheung, Yann LeCun
2023	J	`jnl`	EMP-SSL: Towards Self-Supervised Learning in One Training Epoch. CoRR Shengbang Tong, Yubei Chen, Yi Ma, Yann LeCun
2023	Misc	`conf`	Fast and Exact Enumeration of Deep Networks Partitions Regions. ICASSP Randall Balestriero, Yann LeCun
2023	J	`jnl`	GAIA: a benchmark for General AI Assistants. CoRR Grégoire Mialon, Clémentine Fourrier, Craig Swift, Thomas Wolf, Yann LeCun, Thomas Scialom
2023	J	`jnl`	Gradient-based Planning with World Models. CoRR Jyothir S. V, Siddhartha Jalagam, Yann LeCun, Vlad Sobal
2023	J	`jnl`	Introduction to Latent Variable Energy-Based Models: A Path Towards Autonomous Machine Intelligence. CoRR Anna Dawid, Yann LeCun
2023	J	`jnl`	Language, common sense, and the Winograd schema challenge. Artif. Intell. Jacob Browning, Yann LeCun
2023	J	`jnl`	MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features. CoRR Adrien Bardes, Jean Ponce, Yann LeCun
2023	A*	`conf`	Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform. ICLR Yubei Chen, Zeyu Yun, Yi Ma, Bruno A. Olshausen, Yann LeCun
2023	A*	`conf`	On the duality between contrastive and non-contrastive self-supervised learning. ICLR Quentin Garrido, Yubei Chen, Adrien Bardes, Laurent Najman, Yann LeCun
2023	Misc	`conf`	Police: Provably Optimal Linear Constraint Enforcement For Deep Neural Networks. ICASSP Randall Balestriero, Yann LeCun
2023	J	`jnl`	Predicting masked tokens in stochastic locations improves masked image modeling. CoRR Amir Bar, Florian Bordes, Assaf Shocher, Mahmoud Assran, Pascal Vincent, Nicolas Ballas, Trevor Darrell, Amir Globerson, Yann LeCun
2023	A*	`conf`	RankMe: Assessing the Downstream Performance of Pretrained Self-Supervised Representations by Their Rank. ICML Quentin Garrido, Randall Balestriero, Laurent Najman, Yann LeCun
2023	A*	`conf`	Reverse Engineering Self-Supervised Learning. NeurIPS Ido Ben-Shaul, Ravid Shwartz-Ziv, Tomer Galanti, Shai Dekel, Yann LeCun
2023	J	`jnl`	Reverse Engineering Self-Supervised Learning. CoRR Ido Ben-Shaul, Ravid Shwartz-Ziv, Tomer Galanti, Shai Dekel, Yann LeCun
2023	A*	`conf`	Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture. CVPR Mahmoud Assran, Quentin Duval, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Yann LeCun, Nicolas Ballas
2023	J	`jnl`	Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture. CoRR Mahmoud Assran, Quentin Duval, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Yann LeCun, Nicolas Ballas
2023	A*	`conf`	Self-Supervised Learning with Lie Symmetries for Partial Differential Equations. NeurIPS Grégoire Mialon, Quentin Garrido, Hannah Lawrence, Danyal Rehman, Yann LeCun, Bobak T. Kiani
2023	J	`jnl`	Self-Supervised Learning with Lie Symmetries for Partial Differential Equations. CoRR Grégoire Mialon, Quentin Garrido, Hannah Lawrence, Danyal Rehman, Yann LeCun, Bobak Toussi Kiani
2023	A*	`conf`	Self-supervised learning of Split Invariant Equivariant representations. ICML Quentin Garrido, Laurent Najman, Yann LeCun
2023	J	`jnl`	Self-supervised learning of Split Invariant Equivariant representations. CoRR Quentin Garrido, Laurent Najman, Yann LeCun
2023	A*	`conf`	The SSL Interplay: Augmentations, Inductive Bias, and Generalization. ICML Vivien Cabannes, Bobak Toussi Kiani, Randall Balestriero, Yann LeCun, Alberto Bietti
2023	J	`jnl`	The SSL Interplay: Augmentations, Inductive Bias, and Generalization. CoRR Vivien Cabannes, Bobak Toussi Kiani, Randall Balestriero, Yann LeCun, Alberto Bietti
2023	J	`jnl`	To Compress or Not to Compress - Self-Supervised Learning and Information Theory: A Review. CoRR Ravid Shwartz-Ziv, Yann LeCun
2023	J	`jnl`	URLOST: Unsupervised Representation Learning without Stationarity or Topology. CoRR Zeyu Yun, Juexiao Zhang, Bruno A. Olshausen, Yann LeCun, Yubei Chen
2023	J	`jnl`	Variance-Covariance Regularization Improves Representation Learning. CoRR Jiachen Zhu, Ravid Shwartz-Ziv, Yubei Chen, Yann LeCun
2023	J	`jnl`	VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment. Trans. Mach. Learn. Res. Shraman Pramanick, Li Jing, Sayan Nag, Jiachen Zhu, Hardik Shah, Yann LeCun, Rama Chellappa
2022	A*	`conf`	A Data-Augmentation Is Worth A Thousand Samples: Analytical Moments And Sampling-Free Training. NeurIPS Randall Balestriero, Ishan Misra, Yann LeCun
2022	J	`jnl`	A Data-Augmentation Is Worth A Thousand Samples: Exact Quantification From Analytical Augmented Sample Moments. CoRR Randall Balestriero, Ishan Misra, Yann LeCun
2022	J	`jnl`	A Generalization of ViT/MLP-Mixer to Graphs. CoRR Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson
2022	A*	`conf`	Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone. NeurIPS Zi-Yi Dou, Aishwarya Kamath, Zhe Gan, Pengchuan Zhang, Jianfeng Wang, Linjie Li, Zicheng Liu, Ce Liu, Yann LeCun, Nanyun Peng, Jianfeng Gao, Lijuan Wang
2022	J	`jnl`	Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone. CoRR Zi-Yi Dou, Aishwarya Kamath, Zhe Gan, Pengchuan Zhang, Jianfeng Wang, Linjie Li, Zicheng Liu, Ce Liu, Yann LeCun, Nanyun Peng, Jianfeng Gao, Lijuan Wang
2022	A*	`conf`	Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods. NeurIPS Randall Balestriero, Yann LeCun
2022	J	`jnl`	Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods. CoRR Randall Balestriero, Yann LeCun
2022	—	`conf`	Decoupled Contrastive Learning. ECCV (26) Chun-Hsiao Yeh, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu, Yubei Chen, Yann LeCun
2022	J	`jnl`	Deep learning, reinforcement learning, and world models. Neural Networks Yutaka Matsuo, Yann LeCun, Maneesh Sahani, Doina Precup, David Silver, Masashi Sugiyama, Eiji Uchibe, Jun Morimoto
2022	J	`jnl`	Intra-Instance VICReg: Bag of Self-Supervised Image Patch Embedding. CoRR Yubei Chen, Adrien Bardes, Zengyi Li, Yann LeCun
2022	J	`jnl`	Joint Embedding Predictive Architectures Focus on Slow Features. CoRR Vlad Sobal, Jyothir S. V, Siddhartha Jalagam, Nicolas Carion, Kyunghyun Cho, Yann LeCun
2022	J	`jnl`	Joint Embedding Self-Supervised Learning in the Kernel Regime. CoRR Bobak Toussi Kiani, Randall Balestriero, Yubei Chen, Seth Lloyd, Yann LeCun
2022	J	`jnl`	Light-weight probing of unsupervised representations for Reinforcement Learning. CoRR Wancong Zhang, Anthony GX-Chen, Vlad Sobal, Yann LeCun, Nicolas Carion
2022	J	`jnl`	Masked Siamese ConvNets. CoRR Li Jing, Jiachen Zhu, Yann LeCun
2022	J	`jnl`	Minimalistic Unsupervised Learning with the Sparse Manifold Transform. CoRR Yubei Chen, Zeyu Yun, Yi Ma, Bruno A. Olshausen, Yann LeCun
2022	J	`jnl`	Neural Manifold Clustering and Embedding. CoRR Zengyi Li, Yubei Chen, Yann LeCun, Friedrich T. Sommer
2022	J	`jnl`	On the duality between contrastive and non-contrastive self-supervised learning. CoRR Quentin Garrido, Yubei Chen, Adrien Bardes, Laurent Najman, Yann LeCun
2022	J	`jnl`	POLICE: Provably Optimal Linear Constraint Enforcement for Deep Neural Networks. CoRR Randall Balestriero, Yann LeCun
2022	A*	`conf`	Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors. NeurIPS Ravid Shwartz-Ziv, Micah Goldblum, Hossein Souri, Sanyam Kapoor, Chen Zhu, Yann LeCun, Andrew Gordon Wilson
2022	J	`jnl`	Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors. CoRR Ravid Shwartz-Ziv, Micah Goldblum, Hossein Souri, Sanyam Kapoor, Chen Zhu, Yann LeCun, Andrew Gordon Wilson
2022	J	`jnl`	RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank. CoRR Quentin Garrido, Randall Balestriero, Laurent Najman, Yann LeCun
2022	J	`jnl`	Separating the World and Ego Models for Self-Driving. CoRR Vlad Sobal, Alfredo Canziani, Nicolas Carion, Kyunghyun Cho, Yann LeCun
2022	J	`jnl`	Sparse Coding with Multi-layer Decoders using Variance Regularization. Trans. Mach. Learn. Res. Katrina Evtimova, Yann LeCun
2022	A*	`conf`	The Effects of Regularization and Data Augmentation are Class Dependent. NeurIPS Randall Balestriero, Léon Bottou, Yann LeCun
2022	J	`jnl`	The Effects of Regularization and Data Augmentation are Class Dependent. CoRR Randall Balestriero, Léon Bottou, Yann LeCun
2022	J	`jnl`	TiCo: Transformation Invariance and Covariance Contrast for Self-Supervised Visual Representation Learning. CoRR Jiachen Zhu, Rafael M. Moraes, Serkan Karakulak, Vlad Sobol, Alfredo Canziani, Yann LeCun
2022	J	`jnl`	Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution. CoRR Anthony Zador, Blake A. Richards, Bence Ölveczky, Sean Escola, Yoshua Bengio, Kwabena Boahen, Matthew M. Botvinick, Dmitri B. Chklovskii, Anne Churchland, Claudia Clopath, James DiCarlo, Surya Ganguli, Jeff Hawkins, Konrad P. Körding, Alexei A. Koulakov, Yann LeCun, Timothy P. Lillicrap, Adam H. Marblestone, Bruno A. Olshausen, Alexandre Pouget, Cristina Savin, Terrence J. Sejnowski, Eero P. Simoncelli, Sara A. Solla, David Sussillo, Andreas S. Tolias, Doris Tsao
2022	A*	`conf`	Understanding Dimensional Collapse in Contrastive Self-supervised Learning. ICLR Li Jing, Pascal Vincent, Yann LeCun, Yuandong Tian
2022	J	`jnl`	Unsupervised Learning of Structured Representations via Closed-Loop Transcription. CoRR Shengbang Tong, Xili Dai, Yubei Chen, Mingyang Li, Zengyi Li, Brent Yi, Yann LeCun, Yi Ma
2022	A*	`conf`	VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning. ICLR Adrien Bardes, Jean Ponce, Yann LeCun
2022	A*	`conf`	VICRegL: Self-Supervised Learning of Local Visual Features. NeurIPS Adrien Bardes, Jean Ponce, Yann LeCun
2022	J	`jnl`	VICRegL: Self-Supervised Learning of Local Visual Features. CoRR Adrien Bardes, Jean Ponce, Yann LeCun
2022	J	`jnl`	Variance Covariance Regularization Enforces Pairwise Independence in Self-Supervised Representations. CoRR Grégoire Mialon, Randall Balestriero, Yann LeCun
2022	J	`jnl`	VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment. CoRR Shraman Pramanick, Li Jing, Sayan Nag, Jiachen Zhu, Hardik Shah, Yann LeCun, Rama Chellappa
2022	J	`jnl`	What Do We Maximize in Self-Supervised Learning? CoRR Ravid Shwartz-Ziv, Randall Balestriero, Yann LeCun
2022	A*	`conf`	projUNN: efficient method for training deep networks with unitary matrices. NeurIPS Bobak Toussi Kiani, Randall Balestriero, Yann LeCun, Seth Lloyd
2022	J	`jnl`	projUNN: efficient method for training deep networks with unitary matrices. CoRR Bobak Toussi Kiani, Randall Balestriero, Yann LeCun, Seth Lloyd
2021	A*	`conf`	Barlow Twins: Self-Supervised Learning via Redundancy Reduction. ICML Jure Zbontar, Li Jing, Ishan Misra, Yann LeCun, Stéphane Deny
2021	J	`jnl`	Barlow Twins: Self-Supervised Learning via Redundancy Reduction. CoRR Jure Zbontar, Li Jing, Ishan Misra, Yann LeCun, Stéphane Deny
2021	J	`jnl`	Decoupled Contrastive Learning. CoRR Chun-Hsiao Yeh, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu, Yubei Chen, Yann LeCun
2021	J	`jnl`	Deep learning for AI. Commun. ACM Yoshua Bengio, Yann LeCun, Geoffrey E. Hinton
2021	J	`jnl`	Inspirational Adversarial Image Generation. IEEE Trans. Image Process. Baptiste Rozière, Morgane Rivière, Olivier Teytaud, Jérémy Rapin, Yann LeCun, Camille Couprie
2021	J	`jnl`	Learning in High Dimension Always Amounts to Extrapolation. CoRR Randall Balestriero, Jerome Pesenti, Yann LeCun
2021	A*	`conf`	MDETR - Modulated Detection for End-to-End Multi-Modal Understanding. ICCV Aishwarya Kamath, Mannat Singh, Yann LeCun, Gabriel Synnaeve, Ishan Misra, Nicolas Carion
2021	J	`jnl`	MDETR - Modulated Detection for End-to-End Multi-Modal Understanding. CoRR Aishwarya Kamath, Mannat Singh, Yann LeCun, Ishan Misra, Gabriel Synnaeve, Nicolas Carion
2021	J	`jnl`	Recurrent Parameter Generators. CoRR Jiayun Wang, Yubei Chen, Stella X. Yu, Brian Cheung, Yann LeCun
2021	J	`jnl`	Sparse Coding with Multi-Layer Decoders using Variance Regularization. CoRR Katrina Evtimova, Yann LeCun
2021	—	`conf`	Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors. DeeLIO@NAACL-HLT Zeyu Yun, Yubei Chen, Bruno A. Olshausen, Yann LeCun
2021	J	`jnl`	Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors. CoRR Zeyu Yun, Yubei Chen, Bruno A. Olshausen, Yann LeCun
2021	J	`jnl`	Understanding Dimensional Collapse in Contrastive Self-supervised Learning. CoRR Li Jing, Pascal Vincent, Yann LeCun, Yuandong Tian
2021	J	`jnl`	VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning. CoRR Adrien Bardes, Jean Ponce, Yann LeCun
2020	A*	`conf`	Implicit Rank-Minimizing Autoencoder. NeurIPS Li Jing, Jure Zbontar, Yann LeCun
2020	J	`jnl`	Implicit Rank-Minimizing Autoencoder. CoRR Li Jing, Jure Zbontar, Yann LeCun
2019	—	`conf`	Deep Learning Hardware: Past, Present, and Future. ISSCC Yann LeCun
2019	J	`jnl`	Inspirational Adversarial Image Generation. CoRR Morgane Rivière, Olivier Teytaud, Jérémy Rapin, Yann LeCun, Camille Couprie
2019	J	`jnl`	Learning about an exponential amount of conditional distributions. CoRR Mohamed Ishmael Belghazi, Maxime Oquab, Yann LeCun, David Lopez-Paz
2019	—	`conf`	Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic. ICLR (Poster) Mikael Henaff, Alfredo Canziani, Yann LeCun
2019	J	`jnl`	Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic. CoRR Mikael Henaff, Alfredo Canziani, Yann LeCun
2019	—	`conf`	The role of over-parametrization in generalization of neural networks. ICLR (Poster) Behnam Neyshabur, Zhiyuan Li, Srinadh Bhojanapalli, Yann LeCun, Nathan Srebro
2019	A*	`conf`	Unsupervised Image Matching and Object Discovery as Optimization. CVPR Huy V. Vo, Francis R. Bach, Minsu Cho, Kai Han, Yann LeCun, Patrick Pérez, Jean Ponce
2019	J	`jnl`	Unsupervised Image Matching and Object Discovery as Optimization. CoRR Huy V. Vo, Francis R. Bach, Minsu Cho, Kai Han, Yann LeCun, Patrick Pérez, Jean Ponce
2018	A*	`conf`	A Closer Look at Spatiotemporal Convolutions for Action Recognition. CVPR Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, Manohar Paluri
2018	J	`jnl`	A Spectral Regularizer for Unsupervised Disentanglement. CoRR Aditya Ramesh, Youngduck Choi, Yann LeCun
2018	A*	`conf`	Adversarially Regularized Autoencoders. ICML Junbo Jake Zhao, Yoon Kim, Kelly Zhang, Alexander M. Rush, Yann LeCun
2018	J	`jnl`	Adversarially-Trained Normalized Noisy-Feature Auto-Encoder for Text Generation. CoRR Xiang Zhang, Yann LeCun
2018	J	`jnl`	Backpropagation for Implicit Spectral Densities. CoRR Aditya Ramesh, Yann LeCun
2018	J	`jnl`	Byte-Level Recursive Convolutional Auto-Encoder for Text. CoRR Xiang Zhang, Yann LeCun
2018	A*	`conf`	Comparing Dynamics: Deep Neural Networks versus Glassy Systems. ICML Marco Baity-Jesi, Levent Sagun, Mario Geiger, Stefano Spigler, Gérard Ben Arous, Chiara Cammarota, Yann LeCun, Matthieu Wyart, Giulio Biroli
2018	J	`jnl`	Comparing Dynamics: Deep Neural Networks versus Glassy Systems. CoRR Marco Baity-Jesi, Levent Sagun, Mario Geiger, Stefano Spigler, Gérard Ben Arous, Chiara Cammarota, Yann LeCun, Matthieu Wyart, Giulio Biroli
2018	J	`jnl`	DeSIGN: Design Inspiration from Generative Networks. CoRR Othman Sbai, Mohamed Elhoseiny, Antoine Bordes, Yann LeCun, Camille Couprie
2018	—	`conf`	DesIGN: Design Inspiration from Generative Networks. ECCV Workshops (3) Othman Sbai, Mohamed Elhoseiny, Antoine Bordes, Yann LeCun, Camille Couprie
2018	A*	`conf`	GLoMo: Unsupervised Learning of Transferable Relational Graphs. NeurIPS Zhilin Yang, Junbo Jake Zhao, Bhuwan Dhingra, Kaiming He, William W. Cohen, Ruslan Salakhutdinov, Yann LeCun
2018	J	`jnl`	GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations. CoRR Zhilin Yang, Junbo Jake Zhao, Bhuwan Dhingra, Kaiming He, William W. Cohen, Ruslan Salakhutdinov, Yann LeCun
2018	—	`conf`	Predicting Future Instance Segmentation by Forecasting Convolutional Features. ECCV (9) Pauline Luc, Camille Couprie, Yann LeCun, Jakob Verbeek
2018	J	`jnl`	Predicting Future Instance Segmentations by Forecasting Convolutional Features. CoRR Pauline Luc, Camille Couprie, Yann LeCun, Jakob Verbeek
2018	J	`jnl`	Towards Understanding the Role of Over-Parametrization in Generalization of Neural Networks. CoRR Behnam Neyshabur, Zhiyuan Li, Srinadh Bhojanapalli, Yann LeCun, Nathan Srebro
2017	J	`jnl`	A Closer Look at Spatiotemporal Convolutions for Action Recognition. CoRR Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, Manohar Paluri
2017	J	`jnl`	Adversarially Regularized Autoencoders for Generating Discrete Structures. CoRR Junbo Jake Zhao, Yoon Kim, Kelly Zhang, Alexander M. Rush, Yann LeCun
2017	—	`conf`	Energy-based Generative Adversarial Networks. ICLR (Poster) Junbo Jake Zhao, Michaël Mathieu, Yann LeCun
2017	—	`conf`	Entropy-SGD: Biasing Gradient Descent Into Wide Valleys. ICLR (Poster) Pratik Chaudhari, Anna Choromanska, Stefano Soatto, Yann LeCun, Carlo Baldassi, Christian Borgs, Jennifer T. Chayes, Levent Sagun, Riccardo Zecchina
2017	J	`jnl`	Geometric Deep Learning: Going beyond Euclidean data. IEEE Signal Process. Mag. Michael M. Bronstein, Joan Bruna, Yann LeCun, Arthur Szlam, Pierre Vandergheynst
2017	J	`jnl`	Hierarchical loss for classification. CoRR Cinna Wu, Mark Tygert, Yann LeCun
2017	J	`jnl`	Model-Based Planning in Discrete Action Spaces. CoRR Mikael Henaff, William F. Whitney, Yann LeCun
2017	A*	`conf`	Predicting Deeper into the Future of Semantic Segmentation. ICCV Pauline Luc, Natalia Neverova, Camille Couprie, Jakob Verbeek, Yann LeCun
2017	J	`jnl`	Predicting Deeper into the Future of Semantic Segmentation. CoRR Natalia Neverova, Pauline Luc, Camille Couprie, Jakob Verbeek, Yann LeCun
2017	J	`jnl`	Prediction Under Uncertainty with Error-Encoding Networks. CoRR Mikael Henaff, Junbo Jake Zhao, Yann LeCun
2017	—	`conf`	Tracking the World State with Recurrent Entity Networks. ICLR (Poster) Mikael Henaff, Jason Weston, Arthur Szlam, Antoine Bordes, Yann LeCun
2017	A*	`conf`	Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs. ICML Li Jing, Yichen Shen, Tena Dubcek, John Peurifoy, Scott A. Skirlo, Yann LeCun, Max Tegmark, Marin Soljacic
2017	A*	`conf`	Universum Prescription: Regularization Using Unlabeled Data. AAAI Xiang Zhang, Yann LeCun
2017	—	`conf`	Very Deep Convolutional Networks for Text Classification. EACL (1) Alexis Conneau, Holger Schwenk, Loïc Barrault, Yann LeCun
2017	J	`jnl`	Which Encoding is the Best for Text Classification in Chinese, English, Japanese and Korean? CoRR Xiang Zhang, Yann LeCun
2016	A*	`ed.`	4th International Conference on Learning Representations, ICLR 2016, San Juan, Puerto Rico, May 2-4, 2016, Conference Track Proceedings ICLR Yoshua Bengio, Yann LeCun
2016	J	`jnl`	A Mathematical Motivation for Complex-Valued Convolutional Networks. Neural Comput. Mark Tygert, Joan Bruna, Soumith Chintala, Yann LeCun, Serkan Piantino, Arthur Szlam
2016	A*	`conf`	Binary embeddings with structured hashed projections. ICML Anna Choromanska, Krzysztof Choromanski, Mariusz Bojarski, Tony Jebara, Sanjiv Kumar, Yann LeCun
2016	A*	`conf`	Deep multi-scale video prediction beyond mean square error. ICLR (Poster) Michaël Mathieu, Camille Couprie, Yann LeCun
2016	—	`conf`	Disentangling factors of variation in deep representation using adversarial training. NIPS Michaël Mathieu, Junbo Jake Zhao, Pablo Sprechmann, Aditya Ramesh, Yann LeCun
2016	J	`jnl`	Disentangling factors of variation in deep representations using adversarial training. CoRR Michaël Mathieu, Junbo Jake Zhao, Pablo Sprechmann, Aditya Ramesh, Yann LeCun
2016	J	`jnl`	Energy-based Generative Adversarial Network. CoRR Junbo Jake Zhao, Michaël Mathieu, Yann LeCun
2016	J	`jnl`	Entropy-SGD: Biasing Gradient Descent Into Wide Valleys. CoRR Pratik Chaudhari, Anna Choromanska, Stefano Soatto, Yann LeCun, Carlo Baldassi, Christian Borgs, Jennifer T. Chayes, Levent Sagun, Riccardo Zecchina
2016	J	`jnl`	Fast Incremental Learning for Off-Road Robot Navigation. CoRR Artem Provodin, Liila Torabi, Beat Flepp, Yann LeCun, Michael Sergio, Lawrence D. Jackel, Urs Muller, Jure Zbontar
2016	J	`jnl`	Geometric deep learning: going beyond Euclidean data. CoRR Michael M. Bronstein, Joan Bruna, Yann LeCun, Arthur Szlam, Pierre Vandergheynst
2016	J	`jnl`	Orthogonal RNNs and Long-Memory Tasks. CoRR Mikael Henaff, Arthur Szlam, Yann LeCun
2016	A*	`conf`	Recurrent Orthogonal Networks and Long-Memory Tasks. ICML Mikael Henaff, Arthur Szlam, Yann LeCun
2016	J	`jnl`	Simultaneous Learning of Trees and Representations for Extreme Classification, with Application to Language Modeling. CoRR Yacine Jernite, Anna Choromanska, David A. Sontag, Yann LeCun
2016	J	`jnl`	Singularity of the Hessian in Deep Learning. CoRR Levent Sagun, Léon Bottou, Yann LeCun
2016	J	`jnl`	Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches. J. Mach. Learn. Res. Jure Zbontar, Yann LeCun
2016	A*	`conf`	Super-Resolution with Deep Convolutional Sufficient Statistics. ICLR (Poster) Joan Bruna, Pablo Sprechmann, Yann LeCun
2016	J	`jnl`	Tracking the World State with Recurrent Entity Networks. CoRR Mikael Henaff, Jason Weston, Arthur Szlam, Antoine Bordes, Yann LeCun
2016	J	`jnl`	Very Deep Convolutional Networks for Natural Language Processing. CoRR Alexis Conneau, Holger Schwenk, Loïc Barrault, Yann LeCun
2016	Misc	`conf`	Very deep multilingual convolutional neural networks for LVCSR. ICASSP Tom Sercu, Christian Puhrsch, Brian Kingsbury, Yann LeCun
2016	J	`jnl`	What is the Best Feature Learning Procedure in Hierarchical Recognition Architectures? CoRR Kevin Jarrett, Koray Kavukcuoglu, Karol Gregor, Yann LeCun
2015	—	`ed.`	3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings ICLR Yoshua Bengio, Yann LeCun
2015	—	`ed.`	3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Workshop Track Proceedings ICLR (Workshop) Yoshua Bengio, Yann LeCun
2015	J	`jnl`	A theoretical argument for complex-valued convolutional networks. CoRR Joan Bruna, Soumith Chintala, Yann LeCun, Serkan Piantino, Arthur Szlam, Mark Tygert
2015	—	`conf`	Audio Source Separation with Discriminative Scattering Networks. LVA/ICA Pablo Sprechmann, Joan Bruna, Yann LeCun
2015	—	`conf`	Audio Source Separation with Discriminative Scattering Networks. ICLR (Workshop) Pablo Sprechmann, Joan Bruna, Yann LeCun
2015	J	`jnl`	Binary embeddings with structured hashed projections. CoRR Anna Choromanska, Krzysztof Choromanski, Mariusz Bojarski, Tony Jebara, Sanjiv Kumar, Yann LeCun
2015	—	`conf`	Character-level Convolutional Networks for Text Classification. NIPS Xiang Zhang, Junbo Jake Zhao, Yann LeCun
2015	J	`jnl`	Character-level Convolutional Networks for Text Classification. CoRR Xiang Zhang, Junbo Jake Zhao, Yann LeCun
2015	A*	`conf`	Computing the stereo matching cost with a convolutional neural network. CVPR Jure Zbontar, Yann LeCun
2015	J	`jnl`	Deep Convolutional Networks on Graph-Structured Data. CoRR Mikael Henaff, Joan Bruna, Yann LeCun
2015	—	`conf`	Deep learning & convolutional networks. Hot Chips Symposium Yann LeCun
2015	—	`conf`	Deep learning with Elastic Averaging SGD. NIPS Sixin Zhang, Anna Choromanska, Yann LeCun
2015	—	`conf`	Deep learning with Elastic Averaging SGD. ICLR (Workshop) Sixin Zhang, Anna Choromanska, Yann LeCun
2015	J	`jnl`	Deep learning. Nat. Yann LeCun, Yoshua Bengio, Geoffrey E. Hinton
2015	A*	`conf`	Efficient object localization using Convolutional Networks. CVPR Jonathan Tompson, Ross Goroshin, Arjun Jain, Yann LeCun, Christoph Bregler
2015	—	`conf`	Explorations on high dimensional landscapes. ICLR (Workshop) Levent Sagun, V. Ugur Güney, Yann LeCun
2015	—	`conf`	Fast Convolutional Nets With fbfft: A GPU Performance Evaluation. ICLR Nicolas Vasilache, Jeff Johnson, Michaël Mathieu, Soumith Chintala, Serkan Piantino, Yann LeCun
2015	J	`jnl`	Guest Editorial: Deep Learning. Int. J. Comput. Vis. Marc'Aurelio Ranzato, Geoffrey E. Hinton, Yann LeCun
2015	J	`jnl`	High Performance Computer Acoustic Data Accelerator: A New System for Exploring Marine Mammal Acoustics for Big Data Applications. CoRR Peter Dugan, John Zollweg, Marian Popescu, Denise Risch, Hervé Glotin, Yann LeCun, Christopher W. Clark
2015	—	`conf`	Learning to Linearize Under Uncertainty. NIPS Ross Goroshin, Michaël Mathieu, Yann LeCun
2015	J	`jnl`	Learning to Linearize Under Uncertainty. CoRR Ross Goroshin, Michaël Mathieu, Yann LeCun
2015	A*	`conf`	Open Problem: The landscape of the loss surfaces of multilayer networks. COLT Anna Choromanska, Yann LeCun, Gérard Ben Arous
2015	Misc	`conf`	Source separation with scattering Non-Negative Matrix Factorization. ICASSP Joan Bruna, Pablo Sprechmann, Yann LeCun
2015	J	`jnl`	Stacked What-Where Auto-encoders. CoRR Junbo Jake Zhao, Michaël Mathieu, Ross Goroshin, Yann LeCun
2015	J	`jnl`	Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches. CoRR Jure Zbontar, Yann LeCun
2015	J	`jnl`	Text Understanding from Scratch. CoRR Xiang Zhang, Yann LeCun
2015	A	`conf`	The Loss Surfaces of Multilayer Networks. AISTATS Anna Choromanska, Mikael Henaff, Michaël Mathieu, Gérard Ben Arous, Yann LeCun
2015	J	`jnl`	Universality in halting time and its applications in optimization. CoRR Levent Sagun, Thomas Trogdon, Yann LeCun
2015	J	`jnl`	Universum Prescription: Regularization using Unlabeled Data. CoRR Xiang Zhang, Yann LeCun
2015	—	`conf`	Unsupervised Feature Learning from Temporal Data. ICLR (Workshop) Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun
2015	A*	`conf`	Unsupervised Learning of Spatiotemporally Coherent Metrics. ICCV Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun
2015	J	`jnl`	Very Deep Multilingual Convolutional Neural Networks for LVCSR. CoRR Tom Sercu, Christian Puhrsch, Brian Kingsbury, Yann LeCun
2014	—	`ed.`	2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Conference Track Proceedings ICLR Yoshua Bengio, Yann LeCun
2014	—	`ed.`	2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Workshop Track Proceedings ICLR Yoshua Bengio, Yann LeCun
2014	J	`jnl`	Computing the Stereo Matching Cost with a Convolutional Neural Network. CoRR Jure Zbontar, Yann LeCun
2014	J	`jnl`	Convolutional nets and watershed cuts for real-time semantic Labeling of RGBD videos. J. Mach. Learn. Res. Camille Couprie, Clément Farabet, Laurent Najman, Yann LeCun
2014	J	`jnl`	Differentially- and non-differentially-private random decision trees. CoRR Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Yann LeCun
2014	J	`jnl`	Efficient Object Localization Using Convolutional Networks. CoRR Jonathan Tompson, Ross Goroshin, Arjun Jain, Yann LeCun, Christoph Bregler
2014	—	`conf`	Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation. NIPS Emily L. Denton, Wojciech Zaremba, Joan Bruna, Yann LeCun, Rob Fergus
2014	J	`jnl`	Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation. CoRR Emily Denton, Wojciech Zaremba, Joan Bruna, Yann LeCun, Rob Fergus
2014	J	`jnl`	Fast Approximation of Rotations and Hessians matrices. CoRR Michaël Mathieu, Yann LeCun
2014	—	`conf`	Fast Training of Convolutional Networks through FFTs. ICLR (Poster) Michaël Mathieu, Mikael Henaff, Yann LeCun
2014	—	`conf`	Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation. NIPS Jonathan Tompson, Arjun Jain, Yann LeCun, Christoph Bregler
2014	J	`jnl`	Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation. CoRR Jonathan Tompson, Arjun Jain, Yann LeCun, Christoph Bregler
2014	—	`conf`	MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation. ACCV (2) Arjun Jain, Jonathan Tompson, Yann LeCun, Christoph Bregler
2014	J	`jnl`	MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation. CoRR Arjun Jain, Jonathan Tompson, Yann LeCun, Christoph Bregler
2014	—	`conf`	OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks. ICLR Pierre Sermanet, David Eigen, Xiang Zhang, Michaël Mathieu, Rob Fergus, Yann LeCun
2014	J	`jnl`	Real-Time Continuous Pose Recovery of Human Hands Using Convolutional Networks. ACM Trans. Graph. Jonathan Tompson, Murphy Stein, Yann LeCun, Ken Perlin
2014	A*	`conf`	Signal recovery from Pooling Representations. ICML Joan Bruna Estrach, Arthur Szlam, Yann LeCun
2014	—	`conf`	Spectral Networks and Locally Connected Networks on Graphs. ICLR Joan Bruna, Wojciech Zaremba, Arthur Szlam, Yann LeCun
2014	J	`jnl`	The Loss Surface of Multilayer Networks. CoRR Anna Choromanska, Mikael Henaff, Michaël Mathieu, Gérard Ben Arous, Yann LeCun
2014	—	`conf`	Understanding Deep Architectures using a Recursive Convolutional Network. ICLR (Workshop Poster) David Eigen, Jason Tyler Rolfe, Rob Fergus, Yann LeCun
2014	J	`jnl`	Unsupervised Learning of Spatiotemporally Coherent Metrics. CoRR Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun
2013	A*	`ed.`	1st International Conference on Learning Representations, ICLR 2013, Scottsdale, Arizona, USA, May 2-4, 2013, Conference Track Proceedings ICLR Yoshua Bengio, Yann LeCun
2013	—	`ed.`	1st International Conference on Learning Representations, ICLR 2013, Scottsdale, Arizona, USA, May 2-4, 2013, Workshop Track Proceedings ICLR (Workshop) Yoshua Bengio, Yann LeCun
2013	A*	`conf`	Adaptive learning rates and parallelization for stochastic, sparse, non-smooth gradients ICLR (Poster) Tom Schaul, Yann LeCun
2013	J	`jnl`	Causal graph-based video segmentation CoRR Camille Couprie, Clément Farabet, Yann LeCun
2013	B	`conf`	Causal graph-based video segmentation. ICIP Camille Couprie, Clément Farabet, Yann LeCun, Laurent Najman
2013	A*	`conf`	Discriminative Recurrent Sparse Auto-Encoders ICLR Jason Tyler Rolfe, Yann LeCun
2013	J	`jnl`	Feature learning and deep architectures: new directions for music informatics. J. Intell. Inf. Syst. Eric J. Humphrey, Juan Pablo Bello, Yann LeCun
2013	A*	`conf`	Indoor Semantic Segmentation using depth information ICLR Camille Couprie, Clément Farabet, Laurent Najman, Yann LeCun
2013	J	`jnl`	Learning Hierarchical Features for Scene Labeling. IEEE Trans. Pattern Anal. Mach. Intell. Clément Farabet, Camille Couprie, Laurent Najman, Yann LeCun
2013	—	`conf`	Learning Stable Group Invariant Representations with Convolutional Networks ICLR (Workshop Poster) Joan Bruna, Arthur Szlam, Yann LeCun
2013	—	`conf`	No more pesky learning rates. ICML (3) Tom Schaul, Sixin Zhang, Yann LeCun
2013	A*	`conf`	Pedestrian Detection with Unsupervised Multi-stage Feature Learning. CVPR Pierre Sermanet, Koray Kavukcuoglu, Soumith Chintala, Yann LeCun
2013	—	`conf`	Preface. AAAI Workshop: Learning Rich Representations from Low-Level Sensors Marc Pickett, Benjamin Kuipers, Yann LeCun, Clayton T. Morrison
2013	—	`conf`	Pushing Stochastic Gradient towards Second-Order Methods - Backpropagation Learning with Transformations in Nonlinearities. ICONIP (1) Tommi Vatanen, Tapani Raiko, Harri Valpola, Yann LeCun
2013	—	`conf`	Pushing Stochastic Gradient towards Second-Order Methods -- Backpropagation Learning with Transformations in Nonlinearities ICLR (Workshop Poster) Tommi Vatanen, Tapani Raiko, Harri Valpola, Yann LeCun
2013	—	`conf`	Regularization of Neural Networks using DropConnect. ICML (3) Li Wan, Matthew D. Zeiler, Sixin Zhang, Yann LeCun, Rob Fergus
2013	A*	`conf`	Saturating Auto-Encoder ICLR (Poster) Rostislav Goroshin, Yann LeCun
2012	J	`jnl`	Convolutional Neural Networks Applied to House Numbers Digit Classification CoRR Pierre Sermanet, Soumith Chintala, Yann LeCun
2012	B	`conf`	Convolutional neural networks applied to house numbers digit classification. ICPR Pierre Sermanet, Soumith Chintala, Yann LeCun
2012	A	`conf`	Deep Learning Made Easier by Linear Transformations in Perceptrons. AISTATS Tapani Raiko, Harri Valpola, Yann LeCun
2012	—	`ch.`	Efficient BackProp. Neural Networks: Tricks of the Trade (2nd ed.) Yann LeCun, Léon Bottou, Genevieve B. Orr, Klaus-Robert Müller
2012	—	`conf`	Fast Approximations to Structured Sparse Coding and Applications to Object Classification. ECCV (5) Arthur Szlam, Karol Gregor, Yann LeCun
2012	J	`jnl`	Fast approximations to structured sparse coding and applications to object classification CoRR Arthur Szlam, Karol Gregor, Yann LeCun
2012	—	`conf`	Learning Invariant Feature Hierarchies. ECCV Workshops (1) Yann LeCun
2012	—	`conf`	Moving Beyond Feature Design: Deep Architectures and Automatic Feature Learning in Music Informatics. ISMIR Eric J. Humphrey, Juan Pablo Bello, Yann LeCun
2012	—	`conf`	NeuFlow: Dataflow vision processing system-on-a-chip. MWSCAS Phi-Hung Pham, Darko Jelaca, Clément Farabet, Berin Martini, Yann LeCun, Eugenio Culurciello
2012	J	`jnl`	No More Pesky Learning Rates CoRR Tom Schaul, Sixin Zhang, Yann LeCun
2012	J	`jnl`	Pedestrian Detection with Unsupervised Multi-Stage Feature Learning CoRR Pierre Sermanet, Koray Kavukcuoglu, Soumith Chintala, Yann LeCun
2012	—	`conf`	Road Scene Segmentation from a Single Image. ECCV (7) José M. Álvarez, Theo Gevers, Yann LeCun, Antonio M. López
2012	J	`jnl`	Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers CoRR Clément Farabet, Camille Couprie, Laurent Najman, Yann LeCun
2012	A*	`conf`	Scene parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers. ICML Clément Farabet, Camille Couprie, Laurent Najman, Yann LeCun
2012	—	`conf`	Semantic Road Segmentation via Multi-scale Ensembles of Learned Features. ECCV Workshops (2) José M. Álvarez, Yann LeCun, Theo Gevers, Antonio M. López
2012	—	`ch.`	Transformation Invariance in Pattern Recognition - Tangent Distance and Tangent Propagation. Neural Networks: Tricks of the Trade (2nd ed.) Patrice Y. Simard, Yann LeCun, John S. Denker, Bernard Victorri
2011	A*	`conf`	Ask the locals: Multi-way local pooling for image recognition. ICCV Y-Lan Boureau, Nicolas Le Roux, Francis R. Bach, Jean Ponce, Yann LeCun
2011	J	`jnl`	Concerto for violin and Markov model: technical perspective. Commun. ACM Juan Pablo Bello, Yann LeCun, Robert Rowe
2011	J	`jnl`	Efficient Learning of Sparse Invariant Representations CoRR Karol Gregor, Yann LeCun
2011	Misc	`conf`	Hardware accelerated visual attention algorithm. CISS Polina Akselrod, Faye Zhao, Ifigeneia Derekli, Clément Farabet, Berin Martini, Yann LeCun, Eugenio Culurciello
2011	J	`jnl`	Learning Representations by Maximizing Compression CoRR Karol Gregor, Yann LeCun
2011	—	`conf`	NeuFlow: A runtime reconfigurable dataflow processor for vision. CVPR Workshops Clément Farabet, Berin Martini, B. Corda, Polina Akselrod, Eugenio Culurciello, Yann LeCun
2011	—	`conf`	Structured sparse coding via lateral inhibition. NIPS Arthur Szlam, Karol Gregor, Yann LeCun
2011	B	`conf`	Traffic sign recognition with multi-scale Convolutional Networks. IJCNN Pierre Sermanet, Yann LeCun
2011	—	`conf`	Unsupervised Learning of Sparse Features for Scalable Audio Classification. ISMIR Mikael Henaff, Kevin Jarrett, Koray Kavukcuoglu, Yann LeCun
2010	A*	`conf`	A Theoretical Analysis of Feature Pooling in Visual Recognition. ICML Y-Lan Boureau, Jean Ponce, Yann LeCun
2010	—	`conf`	Convolutional Learning of Spatio-temporal Features. ECCV (6) Graham W. Taylor, Rob Fergus, Yann LeCun, Christoph Bregler
2010	J	`jnl`	Convolutional Matching Pursuit and Dictionary Training CoRR Arthur Szlam, Koray Kavukcuoglu, Yann LeCun
2010	C	`conf`	Convolutional networks and applications in vision. ISCAS Yann LeCun, Koray Kavukcuoglu, Clément Farabet
2010	J	`jnl`	Emergence of Complex-Like Cells in a Temporal Product Network with Local Receptive Fields CoRR Karol Gregor, Yann LeCun
2010	J	`jnl`	Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition CoRR Koray Kavukcuoglu, Marc'Aurelio Ranzato, Yann LeCun
2010	C	`conf`	Hardware accelerated convolutional neural networks for synthetic vision systems. ISCAS Clément Farabet, Berin Martini, Polina Akselrod, Selçuk Talay, Yann LeCun, Eugenio Culurciello
2010	A	`conf`	Hybrid hessians for flexible optimization of pose graphs. IROS Matthew Koichi Grimes, Dragomir Anguelov, Yann LeCun
2010	—	`conf`	Learning Convolutional Feature Hierarchies for Visual Recognition. NIPS Koray Kavukcuoglu, Pierre Sermanet, Y-Lan Boureau, Karol Gregor, Michaël Mathieu, Yann LeCun
2010	A*	`conf`	Learning Fast Approximations of Sparse Coding. ICML Karol Gregor, Yann LeCun
2010	A*	`conf`	Learning mid-level features for recognition. CVPR Y-Lan Boureau, Francis R. Bach, Yann LeCun, Jean Ponce
2010	—	`conf`	Regularized estimation of image statistics by Score Matching. NIPS Diederik P. Kingma, Yann LeCun
2009	J	`jnl`	A multirange architecture for collision-free off-road robot navigation. J. Field Robotics Pierre Sermanet, Raia Hadsell, Marco Scoffier, Matthew Grimes, Jan Ben, Ayse Erkan, Chris Crudele, Urs Miller, Yann LeCun
2009	—	`conf`	An FPGA-based stream processor for embedded real-time vision with Convolutional Networks. ICCV Workshops Clément Farabet, Cyril Poulet, Yann LeCun
2009	B	`conf`	CNP: An FPGA-based processor for Convolutional Networks. FPL Clément Farabet, Cyril Poulet, Jefferson Y. Han, Yann LeCun
2009	—	`conf`	Dynamic Factor Graphs for Time Series Modeling. ECML/PKDD (2) Piotr Mirowski, Yann LeCun
2009	B	`conf`	EBLearn: Open-Source Energy-Based Learning in C++. ICTAI Pierre Sermanet, Koray Kavukcuoglu, Yann LeCun
2009	A*	`conf`	Efficient off-road localization using visually corrected odometry. ICRA Matthew Grimes, Yann LeCun
2009	A*	`conf`	Learning invariant features through topographic filter maps. CVPR Koray Kavukcuoglu, Marc'Aurelio Ranzato, Rob Fergus, Yann LeCun
2009	J	`jnl`	Learning long-range vision for autonomous off-road driving. J. Field Robotics Raia Hadsell, Pierre Sermanet, Jan Ben, Ayse Erkan, Marco Scoffier, Koray Kavukcuoglu, Urs Muller, Yann LeCun
2009	A*	`conf`	What is the best multi-stage architecture for object recognition? ICCV Kevin Jarrett, Koray Kavukcuoglu, Marc'Aurelio Ranzato, Yann LeCun
2009	A*	`conf`	Workshop summary: Workshop on learning feature hierarchies. ICML Kai Yu, Ruslan Salakhutdinov, Yann LeCun, Geoffrey E. Hinton, Yoshua Bengio
2008	A	`conf`	Deep belief net learning in a long-range vision system for autonomous off-road driving. IROS Raia Hadsell, Ayse Erkan, Pierre Sermanet, Marco Scoffier, Urs Muller, Yann LeCun
2008	J	`jnl`	Editorial. Int. J. Comput. Vis. Andrew W. Fitzgibbon, Camillo J. Taylor, Yann LeCun
2008	A	`conf`	Mapping and planning under uncertainty in mobile robots with long-range perception. IROS Pierre Sermanet, Raia Hadsell, Marco Scoffier, Urs Muller, Yann LeCun
2007	A	`conf`	A Sparse and Locally Shift Invariant Feature Extractor Applied to Document Images. ICDAR Marc'Aurelio Ranzato, Yann LeCun
2007	A	`conf`	A Unified Energy-Based Framework for Unsupervised Learning. AISTATS Marc'Aurelio Ranzato, Y-Lan Boureau, Sumit Chopra, Yann LeCun
2007	A	`conf`	Adaptive long range vision in unstructured terrain. IROS Ayse Erkan, Raia Hadsell, Pierre Sermanet, Jan Ben, Urs Muller, Yann LeCun
2007	J	`jnl`	Automatic recognition of biological particles in microscopic images. Pattern Recognit. Lett. Marc'Aurelio Ranzato, P. E. Taylor, James M. House, R. C. Flagan, Yann LeCun, Pietro Perona
2007	A*	`conf`	Discovering the hidden structure of house prices with a non-parametric latent manifold model. KDD Sumit Chopra, Trivikraman Thampy, John Leahy, Andrew Caplin, Yann LeCun
2007	A	`conf`	Energy-Based Models in Document Recognition and Computer Vision. ICDAR Yann LeCun, Sumit Chopra, Marc'Aurelio Ranzato, Fu Jie Huang
2007	—	`conf`	Online Learning for Offroad Robots: Spatial Label Propagation to Learn Long-Range Traversability. Robotics: Science and Systems Raia Hadsell, Pierre Sermanet, Jan Ben, Ayse Erkan, Jeff Han, Urs Muller, Yann LeCun
2007	—	`conf`	Sparse Feature Learning for Deep Belief Networks. NIPS Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun
2007	J	`jnl`	Synergistic Face Detection and Pose Estimation with Energy-Based Models. J. Mach. Learn. Res. Margarita Osadchy, Yann LeCun, Matthew L. Miller
2007	J	`jnl`	The Need for Open Source Software in Machine Learning. J. Mach. Learn. Res. Sören Sonnenburg, Mikio L. Braun, Cheng Soon Ong, Samy Bengio, Léon Bottou, Geoffrey Holmes, Yann LeCun, Klaus-Robert Müller, Fernando Pereira, Carl Edward Rasmussen, Gunnar Rätsch, Bernhard Schölkopf, Alexander J. Smola, Pascal Vincent, Jason Weston, Robert C. Williamson
2007	A*	`conf`	Time-Delay Neural Networks and Independent Component Analysis for EEG-Based Prediction of Epileptic Seizures Propagation. AAAI Piotr W. Mirowski, Deepak Madhavan, Yann LeCun
2007	A*	`conf`	Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition. CVPR Marc'Aurelio Ranzato, Fu Jie Huang, Y-Lan Boureau, Yann LeCun
2006	—	`conf`	Dimensionality Reduction by Learning an Invariant Mapping. CVPR (2) Raia Hadsell, Sumit Chopra, Yann LeCun
2006	—	`conf`	Efficient Learning of Sparse Representations with an Energy-Based Model. NIPS Marc'Aurelio Ranzato, Christopher S. Poultney, Sumit Chopra, Yann LeCun
2006	—	`conf`	Large-scale Learning with SVM and Convolutional for Generic Object Categorization. CVPR (1) Fu Jie Huang, Yann LeCun
2006	—	`conf`	Synergistic Face Detection and Pose Estimation with Energy-Based Models. Toward Category-Level Object Recognition Margarita Osadchy, Yann LeCun, Matthew L. Miller
2005	—	`conf`	Learning a Similarity Metric Discriminatively, with Application to Face Verification. CVPR (1) Sumit Chopra, Raia Hadsell, Yann LeCun
2005	A	`conf`	Loss Functions for Discriminative Training of Energy-Based Models. AISTATS Yann LeCun, Fu Jie Huang
2005	—	`conf`	Off-Road Obstacle Avoidance through End-to-End Learning. NIPS Yann LeCun, Urs Muller, Jan Ben, Eric Cosatto, Beat Flepp
2005	J	`jnl`	Toward Automatic Phenotyping of Developing Embryos From Videos. IEEE Trans. Image Process. F. Ning, D. Delhomme, Yann LeCun, F. Piano, Léon Bottou, Paolo Emilio Barbano
2004	—	`conf`	Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting. CVPR (2) Yann LeCun, Fu Jie Huang, Léon Bottou
2004	—	`conf`	Synergistic Face Detection and Pose Estimation with Energy-Based Models. NIPS Margarita Osadchy, Matthew L. Miller, Yann LeCun
2003	—	`conf`	Large Scale Online Learning. NIPS Léon Bottou, Yann LeCun
2002	—	`conf`	Real Time Voice Processing with Audiovisual Feedback: Toward Autonomous Agents with Perfect Pitch. NIPS Lawrence K. Saul, Daniel D. Lee, Charles L. Isbell Jr., Yann LeCun
2001	A	`conf`	Efficient Conversion of Digital Documents to Multilayer Raster Formats. ICDAR Léon Bottou, Patrick Haffner, Yann LeCun
2000	J	`jnl`	Transformation invariance in pattern recognition: Tangent distance and propagation. Int. J. Imaging Syst. Technol. Patrice Y. Simard, Yann LeCun, John S. Denker, Bernard Victorri
1999	—	`conf`	Color Documents on the Web with DJVU. ICIP (1) Patrick Haffner, Yann LeCun, Léon Bottou, Paul G. Howard, Pascal Vincent, Bill Riemers
1999	A	`conf`	DjVu: Analyzing and Compressing Scanned Documents for Internet Distribution. ICDAR Patrick Haffner, Léon Bottou, Paul G. Howard, Yann LeCun
1999	—	`conf`	Object Recognition with Gradient-Based Learning. Shape, Contour and Grouping in Computer Vision Yann LeCun, Patrick Haffner, Léon Bottou, Yoshua Bengio
1998	—	`conf`	Boxlets: A Fast Convolution Algorithm for Signal Processing and Neural Networks. NIPS Patrice Y. Simard, Léon Bottou, Patrick Haffner, Yann LeCun
1998	—	`conf`	Browsing through High Quality Document Images with DjVu. ADL Patrick Haffner, Léon Bottou, Paul G. Howard, Patrice Y. Simard, Yoshua Bengio, Yann LeCun
1998	—	`conf`	DjVu: a Compression Method for Distributing Scanned Documents in Color over the Internet. CIC Yann LeCun, Léon Bottou, Patrick Haffner, Paul G. Howard
1998	J	`jnl`	Gradient-based learning applied to document recognition. Proc. IEEE Yann LeCun, Léon Bottou, Yoshua Bengio, Patrick Haffner
1998	J	`jnl`	Guest Editorial Applications Of Artificial Neural Networks To Image Processing. IEEE Trans. Image Process. Rama Chellappa, Kunihiko Fukushima, Aggelos K. Katsaggelos, Sun-Yuan Kung, Yann LeCun, Nasser M. Nasrabadi, Tomaso A. Poggio
1998	J	`jnl`	High quality document image compression with "DjVu". J. Electronic Imaging Léon Bottou, Patrick Haffner, Paul G. Howard, Patrice Y. Simard, Yoshua Bengio, Yann LeCun
1998	J	`jnl`	Image and video coding-emerging standards and beyond. IEEE Trans. Circuits Syst. Video Technol. Barry G. Haskell, Paul G. Howard, Yann LeCun, Atul Puri, Jörn Ostermann, M. Reha Civanlar, Lawrence R. Rabiner, Léon Bottou, Patrick Haffner
1998	J	`jnl`	On the applications of multimedia processing to communications. Proc. IEEE Richard V. Cox, Barry G. Haskell, Yann LeCun, Behzad Shahraray, Lawrence R. Rabiner
1997	—	`conf`	Discriminative feature and model design for automatic speech recognition. EUROSPEECH Mazin Rahim, Yoshua Bengio, Yann LeCun
1997	A*	`conf`	Global Training of Document Processing Systems Using Graph Transformer Networks. CVPR Léon Bottou, Yoshua Bengio, Yann LeCun
1997	—	`conf`	On the Applications of Multimedia Processing to Telecommunications. ICIP (1) Richard V. Cox, Barry G. Haskell, Yann LeCun, Behzad Shahraray, Lawrence R. Rabiner
1997	Misc	`conf`	Reading checks with multilayer graph transformer networks. ICASSP Yann LeCun, Léon Bottou, Yoshua Bengio
1996	—	`ch.`	Effiicient BackProp. Neural Networks: Tricks of the Trade Yann LeCun, Léon Bottou, Genevieve B. Orr, Klaus-Robert Müller
1996	—	`ch.`	Transformation Invariance in Pattern Recognition-Tangent Distance and Tangent Propagation. Neural Networks: Tricks of the Trade Patrice Y. Simard, Yann LeCun, John S. Denker, Bernard Victorri
1995	J	`jnl`	LeRec: a NN/HMM hybrid for on-line handwriting recognition. Neural Comput. Yoshua Bengio, Yann LeCun, Craig R. Nohl, Christopher J. C. Burges
1994	J	`jnl`	Boosting and Other Ensemble Methods. Neural Comput. Harris Drucker, Corinna Cortes, Lawrence D. Jackel, Yann LeCun, Vladimir Vapnik
1994	A*	`conf`	Boosting and Other Machine Learning Algorithms. ICML Harris Drucker, Corinna Cortes, Lawrence D. Jackel, Yann LeCun, Vladimir Vapnik
1994	—	`conf`	Comparison of classifier methods: a case study in handwritten digit recognition. ICPR (2) Léon Bottou, Corinna Cortes, John S. Denker, Harris Drucker, Isabelle Guyon, Larry D. Jackel, Yann LeCun, Urs A. Müller, Eduard Säckinger, Patrice Y. Simard, Vladimir Vapnik
1994	J	`jnl`	Measuring the VC-Dimension of a Learning Machine. Neural Comput. Vladimir Vapnik, Esther Levin, Yann LeCun
1994	—	`conf`	Memory-based character recognition using a transformation invariant metric. ICPR (2) Patrice Y. Simard, Yann LeCun, John S. Denker
1994	—	`conf`	Word normalization for online handwritten word recognition. ICPR (2) Yoshua Bengio, Yann LeCun
1994	—	`conf`	Word-level training of a handwritten word recognizer based on convolutional neural networks. ICPR (2) Yann LeCun, Yoshua Bengio
1993	—	`conf`	Globally Trained Handwritten Word Recognizer Using Spatial Representation, Convolutional Neural Networks, and Hidden Markov Models. NIPS Yoshua Bengio, Yann LeCun, Donnie Henderson
1993	J	`jnl`	Off Line Recognition of Handwritten Postal Words Using Neural Networks. Int. J. Pattern Recognit. Artif. Intell. Christopher J. C. Burges, Jan Ben, John S. Denker, Yann LeCun, Craig R. Nohl
1993	C	`conf`	On-line recognition of limited-vocabulary Chinese character using multiple convolutional neural networks. ISCAS Quen-Zong Wu, Yann LeCun, Lawrence D. Jackel, Bor-Shenn Jeng
1993	J	`jnl`	Signature Verification Using A "Siamese" Time Delay Neural Network. Int. J. Pattern Recognit. Artif. Intell. Jane Bromley, James W. Bentz, Léon Bottou, Isabelle Guyon, Yann LeCun, Cliff Moore, Eduard Säckinger, Roopak Shah
1993	—	`conf`	Signature Verification Using a Siamese Time Delay Neural Network. NIPS Jane Bromley, Isabelle Guyon, Yann LeCun, Eduard Säckinger, Roopak Shah
1992	—	`conf`	An efficient algorithm for learning invariance in adaptive classifiers. ICPR (2) Patrice Y. Simard, Yann LeCun, John S. Denker, Bernard Victorri
1992	J	`jnl`	Application of the ANNA neural network chip to high-speed character recognition. IEEE Trans. Neural Networks Eduard Säckinger, Bernhard E. Boser, Jane Bromley, Yann LeCun, Lawrence D. Jackel
1992	—	`conf`	Automatic Learning Rate Maximization in Large Adaptive Machines. NIPS Yann LeCun, Patrice Y. Simard, Barak A. Pearlmutter
1992	—	`conf`	Efficient Pattern Recognition Using a New Transformation Distance. NIPS Patrice Y. Simard, Yann LeCun, John S. Denker
1992	J	`jnl`	Hardware requirements for neural network pattern classifiers: a case study and implementation. IEEE Micro Bernhard E. Boser, Eduard Säckinger, Jane Bromley, Yann LeCun, Lawrence D. Jackel
1992	J	`jnl`	Improving generalization performance using double backpropagation. IEEE Trans. Neural Networks Harris Drucker, Yann LeCun
1992	J	`jnl`	Reading Handwritten Digits: A ZIP Code Recognition System. Computer Ofer Matan, Henry S. Baird, Jane Bromley, Christopher J. C. Burges, John S. Denker, Lawrence D. Jackel, Yann LeCun, Edwin P. D. Pednault, William Satterfield, Charles E. Stenard, Timothy J. Thompson
1991	—	`conf`	A neural network approach to handprint character recognition. Compcon Lawrence D. Jackel, Charles E. Stenard, Henry S. Baird, Bernhard E. Boser, Jane Bromley, Christopher J. C. Burges, John S. Denker, Hans Peter Graf, Donnie Henderson, Richard E. Howard, Wayne E. Hubbard, Yann LeCun, Ofer Matan, Edwin P. D. Pednault, William Satterfield, Eduard Säckinger, Timothy J. Thompson
1991	J	`jnl`	An analog neural network processor with programmable topology. IEEE J. Solid State Circuits Bernhard E. Boser, Eduard Sackinger, Jane Bromley, Yann LeCun, Lawrence D. Jackel
1991	J	`jnl`	Design of a neural network character recognizer for a touch terminal. Pattern Recognit. Isabelle Guyon, P. Albrecht, Yann LeCun, John S. Denker, Wayne E. Hubbard
1991	—	`conf`	Multi-Digit Recognition Using a Space Displacement Neural Network. NIPS Ofer Matan, Christopher J. C. Burges, Yann LeCun, John S. Denker
1991	—	`conf`	Reverse TDNN: An Architecture For Trajectory Generation. NIPS Patrice Y. Simard, Yann LeCun
1991	—	`conf`	Tangent Prop - A Formalism for Specifying Selected Invariances in an Adaptive Network. NIPS Patrice Y. Simard, Bernard Victorri, Yann LeCun, John S. Denker
1990	—	`conf`	Handwritten zip code recognition with multilayer networks. ICPR (2) Yann LeCun, Ofer Matan, Bernhard E. Boser, John S. Denker, Don Henderson, Richard E. Howard, Wayne E. Hubbard, L. D. Jacket, Henry S. Baird
1990	B	`conf`	Hardware requirements for neural-net optical character recognition. IJCNN Lawrence D. Jackel, Bernhard E. Boser, John S. Denker, Hans Peter Graf, Yann LeCun, Isabelle Guyon, Donnie Henderson, Richard E. Howard, Wayne E. Hubbard, Sara A. Solla
1990	—	`conf`	Second Order Properties of Error Surfaces. NIPS Yann LeCun, Ido Kanter, Sara A. Solla
1990	—	`conf`	Transforming Neural-Net Output Levels to Probability Distributions. NIPS John S. Denker, Yann LeCun
1989	J	`jnl`	Backpropagation Applied to Handwritten Zip Code Recognition. Neural Comput. Yann LeCun, Bernhard E. Boser, John S. Denker, Donnie Henderson, Richard E. Howard, Wayne E. Hubbard, Lawrence D. Jackel
1989	—	`conf`	Handwritten Digit Recognition with a Back-Propagation Network. NIPS Yann LeCun, Bernhard E. Boser, John S. Denker, Donnie Henderson, Richard E. Howard, Wayne E. Hubbard, Lawrence D. Jackel
1989	—	`conf`	Handwritten Digit Recognition: Applications of Neural Net Chips and Automatic Learning. NATO Neurocomputing Yann LeCun, Larry D. Jackel, Bernhard E. Boser, John S. Denker, Hans Peter Graf, Isabelle Guyon, Donnie Henderson, Richard E. Howard, Wayne E. Hubbard
1989	J	`jnl`	Handwritten digit recognition: applications of neural network chips and automatic learning. IEEE Commun. Mag. Yann LeCun, Lawrence D. Jackel, Bernhard E. Boser, John S. Denker, Hans Peter Graf, Isabelle Guyon, Don Henderson, Richard E. Howard, Wayne E. Hubbard
1989	—	`conf`	Optimal Brain Damage. NIPS Yann LeCun, John S. Denker, Sara A. Solla
1988	—	`conf`	GEMINI: Gradient Estimation Through Matrix Inversion After Noise Injection. NIPS Yann LeCun, Conrad C. Galland, Geoffrey E. Hinton
1988	J	`jnl`	Using curvature information to improve back-propagation. Neural Networks Yann LeCun