Sen Lin
15 papers · 2021–2026 · 5 venues · across top CS/AI venues
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Achievements
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π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (30) π Conference Polyglot Β· Silver π Triple Crown
ποΈ
Keyword Collector
(74)
π₯
Unstoppable Β· Bronze
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(13)
Learning Types Β· Machine Learning
(10)
Optimization & Theory
(7)
Reinforcement Learning
(6)
Methods
(6)
Deep Learning
(5)
Artificial Intelligence
(4)
Learning Types Β· Deep Learning
(3)
Architectures
(2)
Core AI
(2)
Learning Paradigms
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Robotics
(1)
Application Areas
(1)
Keywords
continual learning
(6)
catastrophic forgetting
(6)
reinforcement learning
(2)
offline reinforcement learning
(2)
model-based reinforcement learning
(2)
imitation learning
(2)
function approximation
(2)
online learning
(2)
knowledge transfer
(1)
ensemble learning
(1)
adversarial robustness
(1)
covariate shift
(1)
policy optimization
(1)
kl divergence
(1)
inverse reinforcement learning
(1)
adversarial training
(1)
speech processing
(1)
behavior cloning
(1)
non-convex optimization
(1)
learning theory
(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
Discriminative Feature Decoupling Enhancement for Speech Forgery Detection
IJCAI 2024
Doubly Robust Instance-Reweighted Adversarial Training
ICLR 2024
How to Leverage Diverse Demonstrations in Offline Imitation Learning
ICML 2024
OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning
ICML 2024
CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning
ICLR 2023
Non-Convex Bilevel Optimization with Time-Varying Objective Functions
NeurIPS 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
NeurIPS 2022
Model-Based Offline Meta-Reinforcement Learning with Regularization
ICLR 2022
TRGP: Trust Region Gradient Projection for Continual Learning
ICLR 2022
Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback
NeurIPS 2021