Timezone: »
Reinforcement learning with sparse rewards is challenging because an agent can rarely obtain non-zero rewards and hence, gradient-based optimization of parameterized policies can be incremental and slow. Recent work demonstrated that using a memory buffer of previous successful trajectories can result in more effective policies. However, existing methods may overly exploit past successful experiences, which can encourage the agent to adopt sub-optimal and myopic behaviors. In this work, instead of focusing on good experiences with limited diversity, we propose to learn a trajectory-conditioned policy to follow and expand diverse past trajectories from a memory buffer. Our method allows the agent to reach diverse regions in the state space and improve upon the past trajectories to reach new states. We empirically show that our approach significantly outperforms count-based exploration methods (parametric approach) and self-imitation learning (parametric approach with non-parametric memory) on various complex tasks with local optima. In particular, without using expert demonstrations or resetting to arbitrary states, we achieve the state-of-the-art scores under five billion number of frames, on challenging Atari games such as Montezuma’s Revenge and Pitfall.
Author Information
Yijie Guo (University of Michigan)
Jongwook Choi (University of Michigan)
Marcin Moczulski (Google Brain)
Shengyu Feng (University of Illinois Urbana Champaign)
Samy Bengio (Apple)
Mohammad Norouzi (Google Brain)
Honglak Lee (U. Michigan)
More from the Same Authors
-
2021 : Palette: Image-to-Image Diffusion Models »
Chitwan Saharia · William Chan · Huiwen Chang · Chris Lee · Jonathan Ho · Tim Salimans · David Fleet · Mohammad Norouzi -
2021 : Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks »
Yijie Guo · Qiucheng Wu · Honglak Lee -
2021 : Fast Inference and Transfer of Compositional Task for Few-shot Task Generalization »
Sungryull Sohn · Hyunjae Woo · Jongwook Choi · Izzeddin Gur · Aleksandra Faust · Honglak Lee -
2021 : Learning Parameterized Task Structure for Generalization to Unseen Entities »
Anthony Liu · Sungryull Sohn · Honglak Lee -
2021 : SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning »
Jongjin Park · Younggyo Seo · Jinwoo Shin · Honglak Lee · Pieter Abbeel · Kimin Lee -
2021 : Learning compositional tasks from language instructions »
Lajanugen Logeswaran · Wilka Carvalho · Honglak Lee -
2021 : Palette: Image-to-Image Diffusion Models »
Chitwan Saharia · William Chan · Huiwen Chang · Chris Lee · Jonathan Ho · Tim Salimans · David Fleet · Mohammad Norouzi -
2022 : Allele-conditional attention mechanism for HLA-peptide complex binding affinity prediction »
Rodrigo Hormazabal · Doyeong Hwang · Kiyoung Kim · Sehui Han · Kyunghoon Bae · Honglak Lee -
2022 : Dynamics-Augmented Decision Transformer for Offline Dynamics Generalization »
Changyeon Kim · Junsu Kim · Younggyo Seo · Kimin Lee · Honglak Lee · Jinwoo Shin -
2022 : Learning Exploration Policies with View-based Intrinsic Rewards »
Yijie Guo · Yao Fu · Run Peng · Honglak Lee -
2022 : Continuous Soft Pseudo-Labeling in ASR »
Tatiana Likhomanenko · Ronan Collobert · Navdeep Jaitly · Samy Bengio -
2022 : Imagenary Patterns with Diffusion Models »
Mohammad Norouzi -
2022 : Invited Talk: Mohammad Norouzi »
Mohammad Norouzi -
2022 : Interactive Industrial Panel »
Jiahao Sun · Ahmed Ibrahim · Marjan Ghazvininejad · Yu Cheng · Boxing Chen · Mohammad Norouzi · Rahul Gupta -
2022 : ReSPack: A Large-Scale Rectilinear Steiner Tree Packing Data Generator and Benchmark »
Kanghoon Lee · Youngjoon Park · Han-Seul Jeong · Deunsol Yoon · Sunghoon Hong · Sungryull Sohn · Minu Kim · Hanbum Ko · Moontae Lee · Honglak Lee · Kyunghoon Kim · Euihyuk Kim · Seonggeon Cho · Jaesang Min · Woohyung Lim -
2022 Poster: Video Diffusion Models »
Jonathan Ho · Tim Salimans · Alexey Gritsenko · William Chan · Mohammad Norouzi · David Fleet -
2022 Poster: Transferring Pre-trained Multimodal Representations with Cross-modal Similarity Matching »
Byoungjip Kim · Sungik Choi · Dasol Hwang · Moontae Lee · Honglak Lee -
2022 Poster: Pure Transformers are Powerful Graph Learners »
Jinwoo Kim · Dat Nguyen · Seonwoo Min · Sungjun Cho · Moontae Lee · Honglak Lee · Seunghoon Hong -
2022 Poster: Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding »
Chitwan Saharia · William Chan · Saurabh Saxena · Lala Li · Jay Whang · Emily Denton · Kamyar Ghasemipour · Raphael Gontijo Lopes · Burcu Karagol Ayan · Tim Salimans · Jonathan Ho · David Fleet · Mohammad Norouzi -
2022 Poster: OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology »
Cheng Jiang · Asadur Chowdury · Xinhai Hou · Akhil Kondepudi · Christian Freudiger · Kyle Conway · Sandra Camelo-Piragua · Daniel Orringer · Honglak Lee · Todd Hollon -
2022 Poster: Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost »
Sungjun Cho · Seonwoo Min · Jinwoo Kim · Moontae Lee · Honglak Lee · Seunghoon Hong -
2022 Poster: Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures »
Emmanuel Abbe · Samy Bengio · Elisabetta Cornacchia · Jon Kleinberg · Aryo Lotfi · Maithra Raghu · Chiyuan Zhang -
2022 Poster: UniCLIP: Unified Framework for Contrastive Language-Image Pre-training »
Janghyeon Lee · Jongsuk Kim · Hyounguk Shon · Bumsoo Kim · Seung Hwan Kim · Honglak Lee · Junmo Kim -
2022 Poster: CEDe: A collection of expert-curated datasets with atom-level entity annotations for Optical Chemical Structure Recognition »
Rodrigo Hormazabal · Changyoung Park · Soonyoung Lee · Sehui Han · Yeonsik Jo · Jaewan Lee · Ahra Jo · Seung Hwan Kim · Jaegul Choo · Moontae Lee · Honglak Lee -
2022 Expo Talk Panel: Towards learning agents for solving complex real-world tasks »
Honglak Lee -
2021 : NLP with Synthetic Text »
Mohammad Norouzi -
2021 Poster: Why Do Better Loss Functions Lead to Less Transferable Features? »
Simon Kornblith · Ting Chen · Honglak Lee · Mohammad Norouzi -
2021 Poster: Improving Transferability of Representations via Augmentation-Aware Self-Supervision »
Hankook Lee · Kibok Lee · Kimin Lee · Honglak Lee · Jinwoo Shin -
2021 Poster: Learnable Fourier Features for Multi-dimensional Spatial Positional Encoding »
Yang Li · Si Si · Gang Li · Cho-Jui Hsieh · Samy Bengio -
2021 Poster: Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning »
Christopher Hoang · Sungryull Sohn · Jongwook Choi · Wilka Carvalho · Honglak Lee -
2021 Poster: Improving Anytime Prediction with Parallel Cascaded Networks and a Temporal-Difference Loss »
Michael Iuzzolino · Michael Mozer · Samy Bengio -
2021 Poster: Environment Generation for Zero-Shot Compositional Reinforcement Learning »
Izzeddin Gur · Natasha Jaques · Yingjie Miao · Jongwook Choi · Manoj Tiwari · Honglak Lee · Aleksandra Faust -
2020 Poster: Predictive Information Accelerates Learning in RL »
Kuang-Huei Lee · Ian Fischer · Anthony Liu · Yijie Guo · Honglak Lee · John Canny · Sergio Guadarrama -
2020 Poster: Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation »
Sajad Norouzi · David Fleet · Mohammad Norouzi -
2020 Poster: RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning »
Caglar Gulcehre · Ziyu Wang · Alexander Novikov · Thomas Paine · Sergio Gómez · Konrad Zolna · Rishabh Agarwal · Josh Merel · Daniel Mankowitz · Cosmin Paduraru · Gabriel Dulac-Arnold · Jerry Li · Mohammad Norouzi · Matthew Hoffman · Nicolas Heess · Nando de Freitas -
2020 Poster: Big Self-Supervised Models are Strong Semi-Supervised Learners »
Ting Chen · Simon Kornblith · Kevin Swersky · Mohammad Norouzi · Geoffrey E Hinton -
2020 : Policy Panel »
Roya Pakzad · Dia Kayyali · Marzyeh Ghassemi · Shakir Mohamed · Mohammad Norouzi · Ted Pedersen · Anver Emon · Abubakar Abid · Darren Byler · Samhaa R. El-Beltagy · Nayel Shafei · Mona Diab -
2020 Affinity Workshop: Muslims in ML »
Marzyeh Ghassemi · Mohammad Norouzi · Shakir Mohamed · Aya Salama · Tasmie Sarker -
2020 Poster: Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning »
Guangxiang Zhu · Minghao Zhang · Honglak Lee · Chongjie Zhang -
2020 : Dr. Samy Bengio (Google Brain) »
Samy Bengio -
2019 : Contributed Session - Spotlight Talks »
Jonathan Frankle · David Schwab · Ari Morcos · Qianli Ma · Yao-Hung Hubert Tsai · Ruslan Salakhutdinov · YiDing Jiang · Dilip Krishnan · Hossein Mobahi · Samy Bengio · Sho Yaida · Muqiao Yang -
2019 : Poster Session »
Matthia Sabatelli · Adam Stooke · Amir Abdi · Paulo Rauber · Leonard Adolphs · Ian Osband · Hardik Meisheri · Karol Kurach · Johannes Ackermann · Matt Benatan · GUO ZHANG · Chen Tessler · Dinghan Shen · Mikayel Samvelyan · Riashat Islam · Murtaza Dalal · Luke Harries · Andrey Kurenkov · Konrad Żołna · Sudeep Dasari · Kristian Hartikainen · Ofir Nachum · Kimin Lee · Markus Holzleitner · Vu Nguyen · Francis Song · Christopher Grimm · Felipe Leno da Silva · Yuping Luo · Yifan Wu · Alex Lee · Thomas Paine · Wei-Yang Qu · Daniel Graves · Yannis Flet-Berliac · Yunhao Tang · Suraj Nair · Matthew Hausknecht · Akhil Bagaria · Simon Schmitt · Bowen Baker · Paavo Parmas · Benjamin Eysenbach · Lisa Lee · Siyu Lin · Daniel Seita · Abhishek Gupta · Riley Simmons-Edler · Yijie Guo · Kevin Corder · Vikash Kumar · Scott Fujimoto · Adam Lerer · Ignasi Clavera Gilaberte · Nicholas Rhinehart · Ashvin Nair · Ge Yang · Lingxiao Wang · Sungryull Sohn · J. Fernando Hernandez-Garcia · Xian Yeow Lee · Rupesh Srivastava · Khimya Khetarpal · Chenjun Xiao · Luckeciano Carvalho Melo · Rishabh Agarwal · Tianhe Yu · Glen Berseth · Devendra Singh Chaplot · Jie Tang · Anirudh Srinivasan · Tharun Kumar Reddy Medini · Aaron Havens · Misha Laskin · Asier Mujika · Rohan Saphal · Joseph Marino · Alex Ray · Joshua Achiam · Ajay Mandlekar · Zhuang Liu · Danijar Hafner · Zhiwen Tang · Ted Xiao · Michael Walton · Jeff Druce · Ferran Alet · Zhang-Wei Hong · Stephanie Chan · Anusha Nagabandi · Hao Liu · Hao Sun · Ge Liu · Dinesh Jayaraman · John Co-Reyes · Sophia Sanborn -
2019 : Lunch Break and Posters »
Xingyou Song · Elad Hoffer · Wei-Cheng Chang · Jeremy Cohen · Jyoti Islam · Yaniv Blumenfeld · Andreas Madsen · Jonathan Frankle · Sebastian Goldt · Satrajit Chatterjee · Abhishek Panigrahi · Alex Renda · Brian Bartoldson · Israel Birhane · Aristide Baratin · Niladri Chatterji · Roman Novak · Jessica Forde · YiDing Jiang · Yilun Du · Linara Adilova · Michael Kamp · Berry Weinstein · Itay Hubara · Tal Ben-Nun · Torsten Hoefler · Daniel Soudry · Hsiang-Fu Yu · Kai Zhong · Yiming Yang · Inderjit Dhillon · Jaime Carbonell · Yanqing Zhang · Dar Gilboa · Johannes Brandstetter · Alexander R Johansen · Gintare Karolina Dziugaite · Raghav Somani · Ari Morcos · Freddie Kalaitzis · Hanie Sedghi · Lechao Xiao · John Zech · Muqiao Yang · Simran Kaur · Qianli Ma · Yao-Hung Hubert Tsai · Ruslan Salakhutdinov · Sho Yaida · Zachary Lipton · Daniel Roy · Michael Carbin · Florent Krzakala · Lenka Zdeborová · Guy Gur-Ari · Ethan Dyer · Dilip Krishnan · Hossein Mobahi · Samy Bengio · Behnam Neyshabur · Praneeth Netrapalli · Kris Sankaran · Julien Cornebise · Yoshua Bengio · Vincent Michalski · Samira Ebrahimi Kahou · Md Rifat Arefin · Jiri Hron · Jaehoon Lee · Jascha Sohl-Dickstein · Samuel Schoenholz · David Schwab · Dongyu Li · Sang Keun Choe · Henning Petzka · Ashish Verma · Zhichao Lin · Cristian Sminchisescu -
2019 : Contributed Talks »
Jie Tang · Yijie Guo · Danijar Hafner -
2019 Poster: Transfusion: Understanding Transfer Learning for Medical Imaging »
Maithra Raghu · Chiyuan Zhang · Jon Kleinberg · Samy Bengio -
2019 Poster: Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse »
James Lucas · George Tucker · Roger Grosse · Mohammad Norouzi -
2019 Poster: High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks »
Ruben Villegas · Arkanath Pathak · Harini Kannan · Dumitru Erhan · Quoc V Le · Honglak Lee -
2018 : Panel Discussion »
Rich Caruana · Mike Schuster · Ralf Schlüter · Hynek Hermansky · Renato De Mori · Samy Bengio · Michiel Bacchiani · Jason Eisner -
2018 Poster: Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning »
Supasorn Suwajanakorn · Noah Snavely · Jonathan Tompson · Mohammad Norouzi -
2018 Poster: A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks »
Kimin Lee · Kibok Lee · Honglak Lee · Jinwoo Shin -
2018 Oral: Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning »
Supasorn Suwajanakorn · Noah Snavely · Jonathan Tompson · Mohammad Norouzi -
2018 Spotlight: A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks »
Kimin Lee · Kibok Lee · Honglak Lee · Jinwoo Shin -
2018 Poster: Large Margin Deep Networks for Classification »
Gamaleldin Elsayed · Dilip Krishnan · Hossein Mobahi · Kevin Regan · Samy Bengio -
2018 Poster: Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies »
Sungryull Sohn · Junhyuk Oh · Honglak Lee -
2018 Poster: Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing »
Chen Liang · Mohammad Norouzi · Jonathan Berant · Quoc V Le · Ni Lao -
2018 Spotlight: Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing »
Chen Liang · Mohammad Norouzi · Jonathan Berant · Quoc V Le · Ni Lao -
2018 Poster: Insights on representational similarity in neural networks with canonical correlation »
Ari Morcos · Maithra Raghu · Samy Bengio -
2018 Poster: Learning Hierarchical Semantic Image Manipulation through Structured Representations »
Seunghoon Hong · Xinchen Yan · Thomas Huang · Honglak Lee -
2018 Poster: Content preserving text generation with attribute controls »
Lajanugen Logeswaran · Honglak Lee · Samy Bengio -
2017 : Invited Talk 5 »
Honglak Lee -
2017 Workshop: Learning Disentangled Features: from Perception to Control »
Emily Denton · Siddharth Narayanaswamy · Tejas Kulkarni · Honglak Lee · Diane Bouchacourt · Josh Tenenbaum · David Pfau -
2017 : Competition I: Adversarial Attacks and Defenses »
Alexey Kurakin · Ian Goodfellow · Samy Bengio · Yao Zhao · Yinpeng Dong · Tianyu Pang · Fangzhou Liao · Cihang Xie · Adithya Ganesh · Oguz Elibol -
2017 Poster: Bridging the Gap Between Value and Policy Based Reinforcement Learning »
Ofir Nachum · Mohammad Norouzi · Kelvin Xu · Dale Schuurmans -
2017 Poster: Filtering Variational Objectives »
Chris Maddison · John Lawson · George Tucker · Nicolas Heess · Mohammad Norouzi · Andriy Mnih · Arnaud Doucet · Yee Teh -
2017 Poster: Value Prediction Network »
Junhyuk Oh · Satinder Singh · Honglak Lee -
2016 Workshop: Extreme Classification: Multi-class and Multi-label Learning in Extremely Large Label Spaces »
Moustapha Cisse · Manik Varma · Samy Bengio -
2016 Poster: Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision »
Xinchen Yan · Jimei Yang · Ersin Yumer · Yijie Guo · Honglak Lee -
2016 Poster: Can Active Memory Replace Attention? »
Łukasz Kaiser · Samy Bengio -
2016 Poster: Learning What and Where to Draw »
Scott E Reed · Zeynep Akata · Santosh Mohan · Samuel Tenka · Bernt Schiele · Honglak Lee -
2016 Oral: Learning What and Where to Draw »
Scott E Reed · Zeynep Akata · Santosh Mohan · Samuel Tenka · Bernt Schiele · Honglak Lee -
2016 Poster: An Online Sequence-to-Sequence Model Using Partial Conditioning »
Navdeep Jaitly · Quoc V Le · Oriol Vinyals · Ilya Sutskever · David Sussillo · Samy Bengio -
2016 Poster: Reward Augmented Maximum Likelihood for Neural Structured Prediction »
Mohammad Norouzi · Samy Bengio · zhifeng Chen · Navdeep Jaitly · Mike Schuster · Yonghui Wu · Dale Schuurmans -
2015 : Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning »
Honglak Lee -
2015 Symposium: Deep Learning Symposium »
Yoshua Bengio · Marc'Aurelio Ranzato · Honglak Lee · Max Welling · Andrew Y Ng -
2015 Poster: Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks »
Samy Bengio · Oriol Vinyals · Navdeep Jaitly · Noam Shazeer -
2015 Poster: Efficient Non-greedy Optimization of Decision Trees »
Mohammad Norouzi · Maxwell Collins · Matthew A Johnson · David Fleet · Pushmeet Kohli -
2015 Poster: Deep Visual Analogy-Making »
Scott E Reed · Yi Zhang · Yuting Zhang · Honglak Lee -
2015 Poster: Action-Conditional Video Prediction using Deep Networks in Atari Games »
Junhyuk Oh · Xiaoxiao Guo · Honglak Lee · Richard L Lewis · Satinder Singh -
2015 Spotlight: Action-Conditional Video Prediction using Deep Networks in Atari Games »
Junhyuk Oh · Xiaoxiao Guo · Honglak Lee · Richard L Lewis · Satinder Singh -
2015 Oral: Deep Visual Analogy-Making »
Scott E Reed · Yi Zhang · Yuting Zhang · Honglak Lee -
2015 Poster: Learning Structured Output Representation using Deep Conditional Generative Models »
Kihyuk Sohn · Honglak Lee · Xinchen Yan -
2015 Poster: Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis »
Jimei Yang · Scott E Reed · Ming-Hsuan Yang · Honglak Lee -
2014 Workshop: Representation and Learning Methods for Complex Outputs »
Richard Zemel · Dale Schuurmans · Kilian Q Weinberger · Yuhong Guo · Jia Deng · Francesco Dinuzzo · Hal Daumé III · Honglak Lee · Noah A Smith · Richard Sutton · Jiaqian YU · Vitaly Kuznetsov · Luke Vilnis · Hanchen Xiong · Calvin Murdock · Thomas Unterthiner · Jean-Francis Roy · Martin Renqiang Min · Hichem SAHBI · Fabio Massimo Zanzotto -
2014 Poster: Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning »
Xiaoxiao Guo · Satinder Singh · Honglak Lee · Richard L Lewis · Xiaoshi Wang -
2014 Poster: Improved Multimodal Deep Learning with Variation of Information »
Kihyuk Sohn · Wenling Shang · Honglak Lee -
2013 Workshop: Output Representation Learning »
Yuhong Guo · Dale Schuurmans · Richard Zemel · Samy Bengio · Yoshua Bengio · Li Deng · Dan Roth · Kilian Q Weinberger · Jason Weston · Kihyuk Sohn · Florent Perronnin · Gabriel Synnaeve · Pablo R Strasser · julien audiffren · Carlo Ciliberto · Dan Goldwasser -
2013 Poster: DeViSE: A Deep Visual-Semantic Embedding Model »
Andrea Frome · Greg Corrado · Jonathon Shlens · Samy Bengio · Jeff Dean · Marc'Aurelio Ranzato · Tomas Mikolov -
2013 Poster: Robust Image Denoising with Multi-Column Deep Neural Networks »
Forest Agostinelli · Michael R Anderson · Honglak Lee -
2012 Workshop: Big Data Meets Computer Vision: First International Workshop on Large Scale Visual Recognition and Retrieval »
Jia Deng · Samy Bengio · Yuanqing Lin · Li Fei-Fei -
2012 Poster: Hamming Distance Metric Learning »
Mohammad Norouzi · Russ Salakhutdinov · David Fleet -
2012 Poster: Learning to Align from Scratch »
Gary B Huang · Marwan A Mattar · Honglak Lee · Erik Learned-Miller -
2010 Workshop: Deep Learning and Unsupervised Feature Learning »
Honglak Lee · Marc'Aurelio Ranzato · Yoshua Bengio · Geoffrey E Hinton · Yann LeCun · Andrew Y Ng -
2010 Poster: Label Embedding Trees for Large Multi-Class Tasks »
Samy Bengio · Jason E Weston · David Grangier -
2009 Poster: Group Sparse Coding »
Samy Bengio · Fernando Pereira · Yoram Singer · Dennis Strelow -
2009 Poster: Unsupervised feature learning for audio classification using convolutional deep belief networks »
Honglak Lee · Peter Pham · Yan Largman · Andrew Y Ng -
2009 Poster: An Online Algorithm for Large Scale Image Similarity Learning »
Gal Chechik · Uri Shalit · Varun Sharma · Samy Bengio -
2007 Workshop: Efficient Machine Learning - Overcoming Computational Bottlenecks in Machine Learning (Part 2) »
Samy Bengio · Corinna Cortes · Dennis DeCoste · Francois Fleuret · Ramesh Natarajan · Edwin Pednault · Dan Pelleg · Elad Yom-Tov -
2007 Workshop: Efficient Machine Learning - Overcoming Computational Bottlenecks in Machine Learning (Part 1) »
Samy Bengio · Corinna Cortes · Dennis DeCoste · Francois Fleuret · Ramesh Natarajan · Edwin Pednault · Dan Pelleg · Elad Yom-Tov -
2007 Poster: Sparse deep belief net model for visual area V2 »
Honglak Lee · Ekanadham Chaitanya · Andrew Y Ng -
2006 Workshop: Learning to Compare Examples »
David Grangier · Samy Bengio -
2006 Poster: Efficient sparse coding algorithms, end-stopping and nCRF surround suppression »
Honglak Lee · Alexis Battle · Raina Rajat · Andrew Y Ng