Kuang-Huei Lee
19 papers · 2018–2025 · 8 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (13) 🏃 Academic Marathon (7) 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🌈 Renaissance Researcher (6)
🌍
Conference Polyglot
(8)
🏃
Academic Marathon
(7)
🌈
Renaissance Researcher
(6)
👑
Triple Crown
👥
Mega-Team
(51)
🔥
Unstoppable
(6)
💎
Century Club
(19)
🚀
Conference Pioneer
🗃️
Keyword Collector
(79)
⚡
Prolific Year
(5)
Conferences
NIPS (5)
CORL (4)
RSS (3)
ICLR (2)
ICML (2)
CVPR (1)
ECCV (1)
EMNLP (1)
Top co-authors
Keywords
representation learning
(3)
transfer learning
(2)
predictive information
(2)
contrastive learning
(2)
multi-task learning
(2)
model scaling
(2)
auxiliary task
(2)
large language model
(2)
reinforcement learning
(2)
mobile manipulator
(2)
direct preference optimization
(1)
preference learning
(1)
sample efficiency
(1)
self-supervised learning
(1)
image classification
(1)
domain generalization
(1)
model predictive control
(1)
robotic manipulation
(1)
multitask learning
(1)
language model alignment
(1)
Papers
Training-Free Diffusion Model Alignment with Sampling Demons
ICLR 2025
Learning to Learn Faster from Human Feedback with Language Model Predictive Control
RSS 2024
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
ICML 2024
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts
ICML 2024
Geometric-Averaged Preference Optimization for Soft Preference Labels
NIPS 2024
Multimodal Web Navigation with Instruction-Finetuned Foundation Models
ICLR 2024
Open-World Object Manipulation using Pre-Trained Vision-Language Models
CORL 2023
Language to Rewards for Robotic Skill Synthesis
CORL 2023
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators
RSS 2023
RT-1: Robotics Transformer for Real-World Control at Scale
RSS 2023
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
CORL 2022
Multi-Game Decision Transformers
NIPS 2022
Deep Hierarchical Planning from Pixels
NIPS 2022
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale
CORL 2022
Compressive Visual Representations
NIPS 2021
Learning Task Sampling Policy for Multitask Learning
EMNLP 2021
Predictive Information Accelerates Learning in RL
NIPS 2020
Stacked Cross Attention for Image-Text Matching
ECCV 2018
CleanNet: Transfer Learning for Scalable Image Classifier Training With Label Noise
CVPR 2018