More from the Same Authors

• 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
• 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 : 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: 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: 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: 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 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: Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning »
  Christopher Hoang · Sungryull Sohn · Jongwook Choi · Wilka Carvalho · Honglak Lee
• 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: Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards »
  Yijie Guo · Jongwook Choi · Marcin Moczulski · Shengyu Feng · Samy Bengio · Mohammad Norouzi · Honglak Lee
• 2020 Poster: Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning »
  Guangxiang Zhu · Minghao Zhang · Honglak Lee · Chongjie Zhang
• 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 Poster: A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks »
  Kimin Lee · Kibok Lee · Honglak Lee · Jinwoo Shin
• 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: Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies »
  Sungryull Sohn · Junhyuk Oh · Honglak Lee
• 2018 Poster: Learning Hierarchical Semantic Image Manipulation through Structured Representations »
  Seunghoon Hong · Xinchen Yan · Thomas Huang · Honglak Lee
• 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 Poster: Value Prediction Network »
  Junhyuk Oh · Satinder Singh · Honglak Lee
• 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: 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
• 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: 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 Workshop: Deep Learning and Representation Learning »
  Andrew Y Ng · Yoshua Bengio · Adam Coates · Roland Memisevic · Sharanyan Chetlur · Geoffrey E Hinton · Shamim Nemati · Bryan Catanzaro · Surya Ganguli · Herbert Jaeger · Phil Blunsom · Leon Bottou · Volodymyr Mnih · Chen-Yu Lee · Rich M Schwartz
• 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 Demonstration: Easy Text Classification with Machine Learning »
  Richard Socher · Romain Paulus · Bryan McCann · Andrew Y Ng
• 2013 Poster: Reasoning With Neural Tensor Networks for Knowledge Base Completion »
  Richard Socher · Danqi Chen · Christopher D Manning · Andrew Y Ng
• 2013 Poster: Zero-Shot Learning Through Cross-Modal Transfer »
  Richard Socher · Milind Ganjoo · Christopher D Manning · Andrew Y Ng
• 2013 Poster: Robust Image Denoising with Multi-Column Deep Neural Networks »
  Forest Agostinelli · Michael R Anderson · Honglak Lee
• 2012 Poster: Recursive Deep Learning on 3D Point Clouds »
  Richard Socher · Bharath Bath · Brody Huval · Christopher D Manning · Andrew Y Ng
• 2012 Poster: Deep Learning of invariant features via tracked video sequences »
  Will Y Zou · Andrew Y Ng · Shenghuo Zhu · Kai Yu
• 2012 Poster: Large Scale Distributed Deep Networks »
  Jeff Dean · Greg Corrado · Rajat Monga · Kai Chen · Matthieu Devin · Quoc V Le · Mark Mao · Marc'Aurelio Ranzato · Andrew Senior · Paul Tucker · Ke Yang · Andrew Y Ng
• 2012 Poster: Learning to Align from Scratch »
  Gary B Huang · Marwan A Mattar · Honglak Lee · Erik Learned-Miller
• 2012 Poster: Emergence of Object-Selective Features in Unsupervised Feature Learning »
  Adam Coates · Andrej Karpathy · Andrew Y Ng
• 2011 Workshop: Challenges in Learning Hierarchical Models: Transfer Learning and Optimization »
  Quoc V. Le · Marc'Aurelio Ranzato · Russ Salakhutdinov · Josh Tenenbaum · Andrew Y Ng
• 2011 Workshop: Deep Learning and Unsupervised Feature Learning »
  Yoshua Bengio · Adam Coates · Yann LeCun · Nicolas Le Roux · Andrew Y Ng
• 2011 Poster: ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning »
  Quoc V. Le · Alexandre Karpenko · Jiquan Ngiam · Andrew Y Ng
• 2011 Poster: Unfolding Recursive Autoencoders for Paraphrase Detection »
  Richard Socher · Eric H Huang · Jeffrey Pennin · Andrew Y Ng · Christopher D Manning
• 2011 Poster: Sparse Filtering »
  Jiquan Ngiam · Pang Wei Koh · Zhenghao Chen · Sonia A Bhaskar · Andrew Y Ng
• 2011 Spotlight: Sparse Filtering »
  Jiquan Ngiam · Pang Wei Koh · Zhenghao Chen · Sonia A Bhaskar · Andrew Y Ng
• 2011 Demonstration: Haptic Belt with Pedestrian Detection »
  Jean Feng · Marc Rasi · Andrew Y Ng · Quoc V. Le · Morgan Quigley · Justin K Chen · Tiffany Low · Will Y Zou
• 2011 Poster: Selecting Receptive Fields in Deep Networks »
  Adam Coates · Andrew Y Ng
• 2011 Poster: Unsupervised learning models of primary cortical receptive fields and receptive field plasticity »
  Andrew M Saxe · Maneesh Bhand · Ritvik Mudur · Bipin Suresh · Andrew Y Ng
• 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: Tiled convolutional neural networks »
  Quoc V. Le · Jiquan Ngiam · Zhenghao Chen · Daniel Jin hao Chia · Pang Wei Koh · Andrew Y Ng
• 2010 Poster: Energy Disaggregation via Discriminative Sparse Coding »
  J. Zico Kolter · Siddarth Batra · Andrew Y Ng
• 2009 Mini Symposium: Machine Learning for Sustainability »
  J. Zico Kolter · Thomas Dietterich · Andrew Y Ng
• 2009 Poster: Measuring Invariances in Deep Networks »
  Ian Goodfellow · Quoc V. Le · Andrew M Saxe · Andrew Y Ng
• 2009 Poster: Unsupervised feature learning for audio classification using convolutional deep belief networks »
  Honglak Lee · Peter Pham · Yan Largman · Andrew Y Ng
• 2008 Demonstration: High-Accuracy 3D Sensing for Mobile Manipulators »
  Stephen Gould · Morgan Quigley · Siddarth Batra · Ellen Klingbiel · Quoc V Le · Andrew Y Ng
• 2007 Poster: Sparse deep belief net model for visual area V2 »
  Honglak Lee · Ekanadham Chaitanya · Andrew Y Ng
• 2007 Demonstration: Holistic Scene Understanding from Visual and Range Data »
  Stephen Gould · Morgan Quigley · Andrew Y Ng · Daphne Koller
• 2007 Spotlight: Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion »
  J. Zico Kolter · Pieter Abbeel · Andrew Y Ng
• 2007 Poster: Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion »
  J. Zico Kolter · Pieter Abbeel · Andrew Y Ng
• 2007 Demonstration: Building a 3-D Model From a Single Still Image »
  Ashutosh Saxena · min sun · Andrew Y Ng
• 2007 Poster: Efficient multiple hyperparameter learning for log-linear models »
  Chuong B Do · Chuan-Sheng Foo · Andrew Y Ng
• 2006 Poster: Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Task »
  Alexis Battle · Gal Chechik · Daphne Koller
• 2006 Demonstration: Peripheral-Foveal Vision for Real-time Object Recognition »
  Benjamin Sapp · Stephen Gould · Adrian Kaehler · Gary R Bradski · Andrew Y Ng
• 2006 Talk: Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Task »
  Alexis Battle · Gal Chechik · Daphne Koller
• 2006 Poster: Robotic Grasping of Novel Objects »
  Ashutosh Saxena · Justin Driemeyer · Justin Kearns · Andrew Y Ng
• 2006 Poster: Map-Reduce for Machine Learning on Multicore »
  Cheng-Tao Chu · Sang Kyun Kim · Yi-An Lin · YuanYuan Yu · Gary R Bradski · Andrew Y Ng · Kunle Olukotun
• 2006 Poster: An Application of Reinforcement Learning to Aerobatic Helicopter Flight »
  Pieter Abbeel · Adam P Coates · Andrew Y Ng · Morgan Quigley
• 2006 Talk: Map-Reduce for Machine Learning on Multicore »
  Cheng-Tao Chu · Sang Kyun Kim · Yi-An Lin · YuanYuan Yu · Gary R Bradski · Andrew Y Ng · Kunle Olukotun
• 2006 Spotlight: Robotic Grasping of Novel Objects »
  Ashutosh Saxena · Justin Driemeyer · Justin Kearns · Andrew Y Ng
• 2006 Talk: An Application of Reinforcement Learning to Aerobatic Helicopter Flight »
  Pieter Abbeel · Adam P Coates · Andrew Y Ng · Morgan Quigley