Harris Chan - RankMe

23 papers A* 6A 1Misc 1Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations. ICML Anian Ruoss, Fabio Pardo, Harris Chan, Bonnie Li, Volodymyr Mnih, Tim Genewein
2024	J	`jnl`	LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations. CoRR Anian Ruoss, Fabio Pardo, Harris Chan, Bonnie Li, Volodymyr Mnih, Tim Genewein
2023	A*	`conf`	Large Language Models are Human-Level Prompt Engineers. ICLR Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, Keiran Paster, Silviu Pitis, Harris Chan, Jimmy Ba
2023	—	`conf`	Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models. Robotics: Science and Systems Ted Xiao, Harris Chan, Pierre Sermanet, Ayzaan Wahid, Anthony Brohan, Karol Hausman, Sergey Levine, Jonathan Tompson
2023	A*	`conf`	STEVE-1: A Generative Model for Text-to-Behavior in Minecraft. NeurIPS Shalev Lifshitz, Keiran Paster, Harris Chan, Jimmy Ba, Sheila A. McIlraith
2023	J	`jnl`	STEVE-1: A Generative Model for Text-to-Behavior in Minecraft. CoRR Shalev Lifshitz, Keiran Paster, Harris Chan, Jimmy Ba, Sheila A. McIlraith
2023	J	`jnl`	Vision-Language Models as a Source of Rewards. CoRR Kate Baumli, Satinder Baveja, Feryal M. P. Behbahani, Harris Chan, Gheorghe Comanici, Sebastian Flennerhag, Maxime Gazeau, Kristian Holsheimer, Dan Horgan, Michael Laskin, Clare Lyle, Hussain Masoom, Kay McKinney, Volodymyr Mnih, Alexander Neitz, Fabio Pardo, Jack Parker-Holder, John Quan, Tim Rocktäschel, Himanshu Sahni, Tom Schaul, Yannick Schroecker, Stephen Spencer, Richie Steigerwald, Luyu Wang, Lei Zhang
2022	Misc	`conf`	Inner Monologue: Embodied Reasoning through Planning with Language Models. CoRL Wenlong Huang, Fei Xia, Ted Xiao, Harris Chan, Jacky Liang, Pete Florence, Andy Zeng, Jonathan Tompson, Igor Mordatch, Yevgen Chebotar, Pierre Sermanet, Tomas Jackson, Noah Brown, Linda Luu, Sergey Levine, Karol Hausman, Brian Ichter
2022	J	`jnl`	Inner Monologue: Embodied Reasoning through Planning with Language Models. CoRR Wenlong Huang, Fei Xia, Ted Xiao, Harris Chan, Jacky Liang, Pete Florence, Andy Zeng, Jonathan Tompson, Igor Mordatch, Yevgen Chebotar, Pierre Sermanet, Noah Brown, Tomas Jackson, Linda Luu, Sergey Levine, Karol Hausman, Brian Ichter
2022	J	`jnl`	Large Language Models Are Human-Level Prompt Engineers. CoRR Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, Keiran Paster, Silviu Pitis, Harris Chan, Jimmy Ba
2022	J	`jnl`	Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models. CoRR Ted Xiao, Harris Chan, Pierre Sermanet, Ayzaan Wahid, Anthony Brohan, Karol Hausman, Sergey Levine, Jonathan Tompson
2021	A*	`conf`	Learning Domain Invariant Representations in Goal-conditioned Block MDPs. NeurIPS Beining Han, Chongyi Zheng, Harris Chan, Keiran Paster, Michael R. Zhang, Jimmy Ba
2021	J	`jnl`	Learning Domain Invariant Representations in Goal-conditioned Block MDPs. CoRR Beining Han, Chongyi Zheng, Harris Chan, Keiran Paster, Michael R. Zhang, Jimmy Ba
2020	A	`conf`	An Empirical Study of Stochastic Gradient Descent with Structured Covariance Noise. AISTATS Yeming Wen, Kevin Luk, Maxime Gazeau, Guodong Zhang, Harris Chan, Jimmy Ba
2020	A*	`conf`	An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality. ICLR Silviu Pitis, Harris Chan, Kiarash Jamali, Jimmy Ba
2020	J	`jnl`	An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality. CoRR Silviu Pitis, Harris Chan, Kiarash Jamali, Jimmy Ba
2020	A*	`conf`	Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning. ICML Silviu Pitis, Harris Chan, Stephen Zhao, Bradly C. Stadie, Jimmy Ba
2020	J	`jnl`	Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning. CoRR Silviu Pitis, Harris Chan, Stephen Zhao, Bradly C. Stadie, Jimmy Ba
2020	—	`conf`	Multichannel Generative Language Model: Learning All Possible Factorizations Within and Across Channels. EMNLP (Findings) Harris Chan, Jamie Kiros, William Chan
2020	J	`jnl`	Multichannel Generative Language Model: Learning All Possible Factorizations Within and Across Channels. CoRR Harris Chan, Jamie Kiros, William Chan
2019	J	`jnl`	ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning. CoRR Harris Chan, Yuhuai Wu, Jamie Kiros, Sanja Fidler, Jimmy Ba
2019	J	`jnl`	Interplay Between Optimization and Generalization of Stochastic Gradient Descent with Covariance Noise. CoRR Yeming Wen, Kevin Luk, Maxime Gazeau, Guodong Zhang, Harris Chan, Jimmy Ba
2018	J	`jnl`	Are You Sure You Want To Do That? Classification with Verification. CoRR Harris Chan, Atef Chaudhury, Kevin Shen