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State Entropy Maximization with Random Encoders for Efficient Exploration


Feb 18, 2021
Younggyo Seo, Lili Chen, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee

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* First two authors contributed equally, website: https://sites.google.com/view/re3-rl 

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Cross-Modal Contrastive Learning for Text-to-Image Generation


Jan 15, 2021
Han Zhang, Jing Yu Koh, Jason Baldridge, Honglak Lee, Yinfei Yang

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Evolving Reinforcement Learning Algorithms


Jan 08, 2021
John D. Co-Reyes, Yingjie Miao, Daiyi Peng, Esteban Real, Sergey Levine, Quoc V. Le, Honglak Lee, Aleksandra Faust

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Few-shot Sequence Learning with Transformers


Dec 17, 2020
Lajanugen Logeswaran, Ann Lee, Myle Ott, Honglak Lee, Marc'Aurelio Ranzato, Arthur Szlam

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* NeurIPS Meta-Learning Workshop 2020 

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Text-to-Image Generation Grounded by Fine-Grained User Attention


Nov 07, 2020
Jing Yu Koh, Jason Baldridge, Honglak Lee, Yinfei Yang

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* To appear in WACV 2021 

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What's in a Loss Function for Image Classification?


Oct 30, 2020
Simon Kornblith, Honglak Lee, Ting Chen, Mohammad Norouzi

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Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in First-person Simulated 3D Environments


Oct 28, 2020
Wilka Carvalho, Anthony Liang, Kimin Lee, Sungryull Sohn, Honglak Lee, Richard L. Lewis, Satinder Singh

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Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning


Oct 23, 2020
Guangxiang Zhu, Minghao Zhang, Honglak Lee, Chongjie Zhang

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* Published on 34th Conference on Neural Information Processing Systems (NeurIPS 2020) 

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i-Mix: A Strategy for Regularizing Contrastive Representation Learning


Oct 17, 2020
Kibok Lee, Yian Zhu, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin, Honglak Lee

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