Le Gan
11 papers · 2021–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (31) 🤝 Dynamic Duo (11) 🗃️ Keyword Collector (56)
🔥
Unstoppable · Bronze
⚡
Prolific Year · Productive
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(6)
Reinforcement Learning
(5)
Deep Learning
(4)
Core AI
(4)
Methods
(4)
Application Areas
(3)
Learning Types · Deep Learning
(3)
Learning Types · Machine Learning
(3)
Learning Paradigms
(2)
Optimization & Theory
(2)
Robotics
(1)
Speech & Audio
(1)
Applications
(1)
Capabilities
(1)
Keywords
knowledge distillation
(3)
world model
(3)
distractors
(2)
transfer learning
(2)
intrinsic reward
(2)
policy optimization
(1)
few-shot learning
(1)
continual learning
(1)
kl divergence
(1)
bilevel optimization
(1)
policy learning
(1)
class-incremental learning
(1)
model aggregation
(1)
keyword spotting
(1)
adversarial learning
(1)
probability calibration
(1)
reward function
(1)
calibration
(1)
model-based reinforcement learning
(1)
partially observable markov decision process
(1)
Papers
FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making
ICML 2025
MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning
AAAI 2025
Reward Models in Deep Reinforcement Learning: A Survey
IJCAI 2025
AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors
ICML 2024
Leveraging Separated World Model for Exploration in Visually Distracted Environments
NeurIPS 2024
MOSER: Learning Sensory Policy for Task-specific Viewpoint via View-conditional World Model
IJCAI 2024
Revisit the Essence of Distilling Knowledge through Calibration
ICML 2024
SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets
ICML 2024
Beyond probability partitions: Calibrating neural networks with semantic aware grouping
NeurIPS 2023
Avoid Overfitting User Specific Information in Federated Keyword Spotting
Interspeech 2022
Towards Enabling Meta-Learning from Target Models
NeurIPS 2021