Harris Chan

Publications by Year

Research Areas

Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications, Topic Modeling, Natural Language Processing Techniques, Reinforcement Learning in Robotics

Most-Cited Works

• → Large Language Models Are Human-Level Prompt Engineers(2022)297 cited
• → Inner Monologue: Embodied Reasoning through Planning with Language Models(2022)206 cited
• → Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning(2020)38 cited
• → Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models(2023)29 cited
• → ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning(2019)21 cited
• Interplay Between Optimization and Generalization of Stochastic Gradient Descent with Covariance Noise.(2019)
• → An Empirical Study of Large-Batch Stochastic Gradient Descent with Structured Covariance Noise(2019)12 cited
• → STEVE-1: A Generative Model for Text-to-Behavior in Minecraft(2023)7 cited
• An Empirical Study of Stochastic Gradient Descent with Structured Covariance Noise(2020)
• → An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality(2020)4 cited