Le Gan
11 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🌈 Renaissance Researcher (5) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (7) 🌍 Conference Polyglot (5) 🌉 Interdisciplinary Bridge
🌉
Interdisciplinary Bridge
🐝
Cross-Pollinator
(7)
🤝
Dynamic Duo
(11)
🔥
Unstoppable
(5)
💎
Century Club
(11)
⚡
Prolific Year
(5)
Conferences
ICML (4)
NIPS (3)
IJCAI (2)
AAAI (1)
INTERSPEECH (1)
Top co-authors
Keywords
intrinsic reward
(2)
transfer learning
(2)
knowledge distillation
(2)
catastrophic forgetting
(1)
adversarial learning
(1)
few-shot learning
(1)
policy optimization
(1)
class-incremental learning
(1)
model aggregation
(1)
keyword spotting
(1)
partially observable markov decision process
(1)
model-based reinforcement learning
(1)
reward function
(1)
probability calibration
(1)
reward model
(1)
pre-trained model
(1)
bi-level optimization
(1)
world model
(1)
exploration strategy
(1)
unsupervised reinforcement learning
(1)
Papers
MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning
AAAI 2025
Reward Models in Deep Reinforcement Learning: A Survey
IJCAI 2025
FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making
ICML 2025
SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets
ICML 2024
AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors
ICML 2024
MOSER: Learning Sensory Policy for Task-specific Viewpoint via View-conditional World Model
IJCAI 2024
Leveraging Separated World Model for Exploration in Visually Distracted Environments
NIPS 2024
Revisit the Essence of Distilling Knowledge through Calibration
ICML 2024
Beyond probability partitions: Calibrating neural networks with semantic aware grouping
NIPS 2023
Avoid Overfitting User Specific Information in Federated Keyword Spotting
INTERSPEECH 2022
Towards Enabling Meta-Learning from Target Models
NIPS 2021