Harris Chan
10 papers · 2020–2025 · 7 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (23) π£ Hot Topic Early Bird
π
Century Club Β· Bronze
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Research topics
Machine Learning
(7)
Artificial Intelligence
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Core AI
(6)
Reinforcement Learning
(3)
Application Areas
(3)
Methods
(3)
Deep Learning
(2)
Core Methods
(2)
Learning Types
(2)
Interdisciplinary
(1)
Natural Language Processing
(1)
Learning Paradigms
(1)
Linguistics
(1)
Models
(1)
Optimization & Theory
(1)
Keywords
imitation learning
(2)
large language model
(2)
in-context learning
(2)
stochastic gradient descent
(1)
metric learning
(1)
semi-supervised learning
(1)
sample efficiency
(1)
robot planning
(1)
robotic manipulation
(1)
domain generalization
(1)
embedding learning
(1)
instruction following
(1)
prompt engineering
(1)
conditional generation
(1)
embodied ai
(1)
few-shot learning
(1)
zero-shot learning
(1)
foundation model
(1)
vision-language model
(1)
reinforcement learning
(1)
Papers
LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations
ICML 2025
Large Language Models are Human-Level Prompt Engineers
ICLR 2023
Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models
RSS 2023
STEVE-1: A Generative Model for Text-to-Behavior in Minecraft
NeurIPS 2023
Inner Monologue: Embodied Reasoning through Planning with Language Models
CoRL 2022
Learning Domain Invariant Representations in Goal-conditioned Block MDPs
NeurIPS 2021
An Empirical Study of Stochastic Gradient Descent with Structured Covariance Noise
AISTATS 2020
An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality
ICLR 2020
Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning
ICML 2020
Multichannel Generative Language Model: Learning All Possible Factorizations Within and Across Channels
EMNLP 2020