Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Honglak Lee

University of Michigan, Ann Arbor

Predictive Information Accelerates Learning in RL

Jul 24, 2020
Kuang-Huei Lee, Ian Fischer, Anthony Liu, Yijie Guo, Honglak Lee, John Canny, Sergio Guadarrama


  Access Model/Code and Paper
Understanding and Diagnosing Vulnerability under Adversarial Attacks

Jul 17, 2020
Haizhong Zheng, Ziqi Zhang, Honglak Lee, Atul Prakash


  Access Model/Code and Paper
An Ode to an ODE

Jun 23, 2020
Krzysztof Choromanski, Jared Quincy Davis, Valerii Likhosherstov, Xingyou Song, Jean-Jacques Slotine, Jacob Varley, Honglak Lee, Adrian Weller, Vikas Sindhwani

* 20 pages, 9 figures 

  Access Model/Code and Paper
CompressNet: Generative Compression at Extremely Low Bitrates

Jun 14, 2020
Suraj Kiran Raman, Aditya Ramesh, Vijayakrishna Naganoor, Shubham Dash, Giridharan Kumaravelu, Honglak Lee


  Access Model/Code and Paper
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning

May 14, 2020
Kimin Lee, Younggyo Seo, Seunghyun Lee, Honglak Lee, Jinwoo Shin

* First two authors contributed equally, website: https://sites.google.com/view/cadm code: https://github.com/younggyoseo/CaDM 

  Access Model/Code and Paper
Time Dependence in Non-Autonomous Neural ODEs

May 06, 2020
Jared Quincy Davis, Krzysztof Choromanski, Jake Varley, Honglak Lee, Jean-Jacques Slotine, Valerii Likhosterov, Adrian Weller, Ameesh Makadia, Vikas Sindhwani


  Access Model/Code and Paper
Improved Consistency Regularization for GANs

Feb 11, 2020
Zhengli Zhao, Sameer Singh, Honglak Lee, Zizhao Zhang, Augustus Odena, Han Zhang

* Augustus Odena and Han Zhang contributed equally 

  Access Model/Code and Paper
BRPO: Batch Residual Policy Optimization

Feb 08, 2020
Sungryull Sohn, Yinlam Chow, Jayden Ooi, Ofir Nachum, Honglak Lee, Ed Chi, Craig Boutilier


  Access Model/Code and Paper
High-Fidelity Synthesis with Disentangled Representation

Jan 13, 2020
Wonkwang Lee, Donggyun Kim, Seunghoon Hong, Honglak Lee


  Access Model/Code and Paper
Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies

Jan 01, 2020
Sungryull Sohn, Hyunjae Woo, Jongwook Choi, Honglak Lee

* In ICLR 2020 

  Access Model/Code and Paper
Efficient Adversarial Training with Transferable Adversarial Examples

Dec 27, 2019
Haizhong Zheng, Ziqi Zhang, Juncheng Gu, Honglak Lee, Atul Prakash


  Access Model/Code and Paper
How Should an Agent Practice?

Dec 15, 2019
Janarthanan Rajendran, Richard Lewis, Vivek Veeriah, Honglak Lee, Satinder Singh

* AAAI-2020 

  Access Model/Code and Paper
High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks

Nov 05, 2019
Ruben Villegas, Arkanath Pathak, Harini Kannan, Dumitru Erhan, Quoc V. Le, Honglak Lee

* In Advances in Neural Information Processing Systems (NeurIPS), 2019 

  Access Model/Code and Paper
Consistency Regularization for Generative Adversarial Networks

Oct 26, 2019
Han Zhang, Zizhao Zhang, Augustus Odena, Honglak Lee


  Access Model/Code and Paper
IEG: Robust Neural Network Training to Tackle Severe Label Noise

Oct 13, 2019
Zizhao Zhang, Han Zhang, Sercan O. Arik, Honglak Lee, Tomas Pfister

* v1: first committed preprint, v2: remove small typos in text and figures 

  Access Model/Code and Paper
A Simple Randomization Technique for Generalization in Deep Reinforcement Learning

Oct 11, 2019
Kimin Lee, Kibok Lee, Jinwoo Shin, Honglak Lee

* In NeurIPS Workshop on Deep RL, 2019 / First two authors are equally contributed 

  Access Model/Code and Paper
Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning?

Sep 23, 2019
Ofir Nachum, Haoran Tang, Xingyu Lu, Shixiang Gu, Honglak Lee, Sergey Levine


  Access Model/Code and Paper
Efficient Exploration with Self-Imitation Learning via Trajectory-Conditioned Policy

Jul 24, 2019
Yijie Guo, Jongwook Choi, Marcin Moczulski, Samy Bengio, Mohammad Norouzi, Honglak Lee


  Access Model/Code and Paper
Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks

Jun 21, 2019
Xinchen Yan, Mohi Khansari, Jasmine Hsu, Yuanzheng Gong, Yunfei Bai, Sören Pirk, Honglak Lee


  Access Model/Code and Paper
SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing

Jun 19, 2019
Haonan Qiu, Chaowei Xiao, Lei Yang, Xinchen Yan, Honglak Lee, Bo Li


  Access Model/Code and Paper
Unsupervised Learning of Object Structure and Dynamics from Videos

Jun 19, 2019
Matthias Minderer, Chen Sun, Ruben Villegas, Forrester Cole, Kevin Murphy, Honglak Lee


  Access Model/Code and Paper
Zero-Shot Entity Linking by Reading Entity Descriptions

Jun 18, 2019
Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Jacob Devlin, Honglak Lee

* ACL 2019 

  Access Model/Code and Paper
Similarity of Neural Network Representations Revisited

May 14, 2019
Simon Kornblith, Mohammad Norouzi, Honglak Lee, Geoffrey Hinton

* Accepted to ICML 2019 

  Access Model/Code and Paper
Incremental Learning with Unlabeled Data in the Wild

Mar 29, 2019
Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee


  Access Model/Code and Paper
Robust Inference via Generative Classifiers for Handling Noisy Labels

Jan 31, 2019
Kimin Lee, Sukmin Yun, Kibok Lee, Honglak Lee, Bo Li, Jinwoo Shin


  Access Model/Code and Paper
Diversity-Sensitive Conditional Generative Adversarial Networks

Jan 25, 2019
Dingdong Yang, Seunghoon Hong, Yunseok Jang, Tianchen Zhao, Honglak Lee

* Accepted as a conference paper at ICLR 2019 

  Access Model/Code and Paper
Learning Latent Dynamics for Planning from Pixels

Dec 03, 2018
Danijar Hafner, Timothy Lillicrap, Ian Fischer, Ruben Villegas, David Ha, Honglak Lee, James Davidson

* 10 pages, 5 figures, 1 table 

  Access Model/Code and Paper
Generative Adversarial Self-Imitation Learning

Dec 03, 2018
Yijie Guo, Junhyuk Oh, Satinder Singh, Honglak Lee


  Access Model/Code and Paper
Contingency-Aware Exploration in Reinforcement Learning

Nov 05, 2018
Jongwook Choi, Yijie Guo, Marcin Moczulski, Junhyuk Oh, Neal Wu, Mohammad Norouzi, Honglak Lee

* Preprint, work in progress. Under review at ICLR 2019 

  Access Model/Code and Paper