Sen Lin
15 papers · 2021–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Cross-Pollinator (9) π Conference Polyglot (5) π Academic Marathon (5) π Renaissance Researcher (6)
πΊοΈ
Taxonomy Completionist
(21)
π
Cross-Pollinator
(9)
π
Renaissance Researcher
(6)
π
Triple Crown
π₯
Unstoppable
(6)
π
Century Club
(15)
Conferences
ICLR (5)
ICML (5)
NIPS (3)
IJCAI (1)
WACV (1)
Top co-authors
Keywords
catastrophic forgetting
(3)
continual learning
(3)
function approximation
(2)
online learning
(2)
reinforcement learning
(2)
generalization error
(1)
online optimization
(1)
spectral analysis
(1)
approximation error
(1)
bilevel optimization
(1)
audio processing
(1)
regret bound
(1)
sublinear regret
(1)
ensemble method
(1)
zeroth-order optimization
(1)
parameter-efficient fine-tuning
(1)
hypergradient estimation
(1)
stochastic method
(1)
estimation bia
(1)
temporal aggregation
(1)
Papers
More Than Memory Savings: Zeroth-Order Optimization Mitigates Forgetting in Continual Learning
WACV 2026
Theory on Mixture-of-Experts in Continual Learning
ICLR 2025
Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective
ICML 2025
How to Leverage Diverse Demonstrations in Offline Imitation Learning
ICML 2024
Discriminative Feature Decoupling Enhancement for Speech Forgery Detection
IJCAI 2024
Doubly Robust Instance-Reweighted Adversarial Training
ICLR 2024
OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning
ICML 2024
Non-Convex Bilevel Optimization with Time-Varying Objective Functions
NIPS 2023
CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning
ICLR 2023
Theory on Forgetting and Generalization of Continual Learning
ICML 2023
Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap
ICML 2023
Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer
NIPS 2022
TRGP: Trust Region Gradient Projection for Continual Learning
ICLR 2022
Model-Based Offline Meta-Reinforcement Learning with Regularization
ICLR 2022
Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback
NIPS 2021