Kuang-Huei Lee
19 papers · 2018–2025 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (39) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Mega-Team Β· Legion
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Topic Evolution
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Keyword Champion
(2)
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Triple Crown
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Renaissance Researcher
(5)
ποΈ
Keyword Collector
(98)
Top co-authors
Research topics
Machine Learning
(14)
Artificial Intelligence
(13)
Core AI
(12)
Learning Types Β· Machine Learning
(7)
Deep Learning
(6)
Reinforcement Learning
(6)
Core Methods
(6)
Methods
(4)
Optimization & Theory
(4)
Applications
(3)
Architectures
(3)
Learning Paradigms
(3)
Learning Types Β· Deep Learning
(3)
Computer Vision
(2)
Natural Language Processing
(2)
Keywords
multi-task learning
(3)
large language model
(3)
representation learning
(3)
transfer learning
(2)
auxiliary task
(2)
reinforcement learning
(2)
mobile manipulator
(2)
reward function
(2)
predictive information
(2)
contrastive learning
(2)
vision-language model
(2)
model scaling
(2)
direct preference optimization
(1)
preference learning
(1)
domain generalization
(1)
sample efficiency
(1)
robotic manipulation
(1)
text-to-image generation
(1)
sim-to-real transfer
(1)
reading comprehension
(1)
Papers
Training-Free Diffusion Model Alignment with Sampling Demons
ICLR 2025
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts
ICML 2024
Geometric-Averaged Preference Optimization for Soft Preference Labels
NeurIPS 2024
Learning to Learn Faster from Human Feedback with Language Model Predictive Control
RSS 2024
Multimodal Web Navigation with Instruction-Finetuned Foundation Models
ICLR 2024
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
ICML 2024
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators
RSS 2023
Language to Rewards for Robotic Skill Synthesis
CoRL 2023
Open-World Object Manipulation using Pre-Trained Vision-Language Models
CoRL 2023
RT-1: Robotics Transformer for Real-World Control at Scale
RSS 2023
Deep Hierarchical Planning from Pixels
NeurIPS 2022
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
CoRL 2022
Multi-Game Decision Transformers
NeurIPS 2022
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale
CoRL 2022
Compressive Visual Representations
NeurIPS 2021
Learning Task Sampling Policy for Multitask Learning
EMNLP 2021
Predictive Information Accelerates Learning in RL
NeurIPS 2020
CleanNet: Transfer Learning for Scalable Image Classifier Training With Label Noise
CVPR 2018
Stacked Cross Attention for Image-Text Matching
ECCV 2018