ICML "continual learning" Papers

16 papers found

An Effective Dynamic Gradient Calibration Method for Continual Learning

Weichen Lin, Jiaxiang Chen, Ruomin Huang et al.

ICML 2024poster

A Statistical Theory of Regularization-Based Continual Learning

Xuyang Zhao, Huiyuan Wang, Weiran Huang et al.

ICML 2024poster

Bayesian Adaptation of Network Depth and Width for Continual Learning

Jeevan Thapa, Rui Li

ICML 2024poster

Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet

Zeyang Zhang, Xin Wang, Yijian Qin et al.

ICML 2024poster

Learning in Deep Factor Graphs with Gaussian Belief Propagation

Seth Nabarro, Mark van der Wilk, Andrew Davison

ICML 2024poster

Learning to Continually Learn with the Bayesian Principle

Soochan Lee, Hyeonseong Jeon, Jaehyeon Son et al.

ICML 2024poster

Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization

Yichen WU, Hong Wang, Peilin Zhao et al.

ICML 2024poster

One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning

Doyoung Kim, Susik Yoon, Dongmin Park et al.

ICML 2024poster

On the Diminishing Returns of Width for Continual Learning

Etash Guha, Vihan Lakshman

ICML 2024poster

Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI

Theodore Papamarkou, Maria Skoularidou, Konstantina Palla et al.

ICML 2024poster

Provable Contrastive Continual Learning

Yichen Wen, Zhiquan Tan, Kaipeng Zheng et al.

ICML 2024poster

Rapid Learning without Catastrophic Forgetting in the Morris Water Maze

Raymond L Wang, Jaedong Hwang, Akhilan Boopathy et al.

ICML 2024poster

Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration

Xinjie Yao, Yu Wang, Pengfei Zhu et al.

ICML 2024poster

STELLA: Continual Audio-Video Pre-training with SpatioTemporal Localized Alignment

Jaewoo Lee, Jaehong Yoon, Wonjae Kim et al.

ICML 2024oral

Task-aware Orthogonal Sparse Network for Exploring Shared Knowledge in Continual Learning

Yusong Hu, De Cheng, Dingwen Zhang et al.

ICML 2024poster

Understanding Forgetting in Continual Learning with Linear Regression

Meng Ding, Kaiyi Ji, Di Wang et al.

ICML 2024poster