2024 "continual learning" Papers

Adapt without Forgetting: Distill Proximity from Dual Teachers in Vision-Language Models

MENGYU ZHENG, Yehui Tang, Zhiwei Hao et al.

An Effective Dynamic Gradient Calibration Method for Continual Learning

Weichen Lin, Jiaxiang Chen, Ruomin Huang et al.

A Statistical Theory of Regularization-Based Continual Learning

Xuyang Zhao, Huiyuan Wang, Weiran Huang et al.

Bayesian Adaptation of Network Depth and Width for Continual Learning

Jeevan Thapa, Rui Li

Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning

XINYUAN GAO, Songlin Dong, Yuhang He et al.

Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet

Zeyang Zhang, Xin Wang, Yijian Qin et al.

Doubly Perturbed Task Free Continual Learning

Byung Hyun Lee, Min-hwan Oh, Se Young Chun

Flatness-aware Sequential Learning Generates Resilient Backdoors

Hoang Pham, The-Anh Ta, Anh Tran et al.

Interactive Visual Task Learning for Robots

LAMM: Label Alignment for Multi-Modal Prompt Learning

Jingsheng Gao, Jiacheng Ruan, Suncheng Xiang et al.

Learning in Deep Factor Graphs with Gaussian Belief Propagation

Seth Nabarro, Mark van der Wilk, Andrew Davison

Learning to Continually Learn with the Bayesian Principle

Soochan Lee, Hyeonseong Jeon, Jaehyeon Son et al.

Learning to Prompt Knowledge Transfer for Open-World Continual Learning

Yujie Li, Xin Yang, Hao Wang et al.

Live and Learn: Continual Action Clustering with Incremental Views

Xiaoqiang Yan, Yingtao Gan, Yiqiao Mao et al.

MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment

Kanglei Zhou, Liyuan Wang, Xingxing Zhang et al.

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

Yichen WU, Hong Wang, Peilin Zhao et al.

Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement

Fushuo Huo, Wenchao Xu, Jingcai Guo et al.

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

Doyoung Kim, Susik Yoon, Dongmin Park et al.

On the Diminishing Returns of Width for Continual Learning

Etash Guha, Vihan Lakshman

Open-World Dynamic Prompt and Continual Visual Representation Learning

Youngeun Kim, Jun Fang, Qin Zhang et al.

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

Theodore Papamarkou, Maria Skoularidou, Konstantina Palla et al.

Provable Contrastive Continual Learning

Yichen Wen, Zhiquan Tan, Kaipeng Zheng et al.

Rapid Learning without Catastrophic Forgetting in the Morris Water Maze

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

Recall-Oriented Continual Learning with Generative Adversarial Meta-Model

Haneol Kang, Dong-Wan Choi

Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models

Yu-Chu Yu, Chi-Pin Huang, Jr-Jen Chen et al.

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

Xinjie Yao, Yu Wang, Pengfei Zhu et al.

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

Jaewoo Lee, Jaehong Yoon, Wonjae Kim et al.

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

Yusong Hu, De Cheng, Dingwen Zhang et al.

Towards Continual Knowledge Graph Embedding via Incremental Distillation

Jiajun Liu, Ke Wenjun, Peng Wang et al.

Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding

Depeng Li, Tianqi Wang, Junwei Chen et al.

Understanding Forgetting in Continual Learning with Linear Regression

Meng Ding, Kaiyi Ji, Di Wang et al.

What to Remember: Self-Adaptive Continual Learning for Audio Deepfake Detection

XiaoHui Zhang, Jiangyan Yi, Chenglong Wang et al.