"catastrophic forgetting" Papers

66 papers found • Page 2 of 2

Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning

Bowen Zheng, Da-Wei Zhou, Han-Jia Ye et al.

ICML 2024poster

Neighboring Perturbations of Knowledge Editing on Large Language Models

Jun-Yu Ma, Zhen-Hua Ling, Ningyu Zhang et al.

ICML 2024poster

Non-Exemplar Domain Incremental Learning via Cross-Domain Concept Integration

Qiang Wang, Yuhang He, Songlin Dong et al.

ECCV 2024poster
14
citations

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

Fushuo Huo, Wenchao Xu, Jingcai Guo et al.

AAAI 2024paperarXiv:2303.10891
23
citations

On the Diminishing Returns of Width for Continual Learning

Etash Guha, Vihan Lakshman

ICML 2024poster

Quantized Prompt for Efficient Generalization of Vision-Language Models

Tianxiang Hao, Xiaohan Ding, Juexiao Feng et al.

ECCV 2024posterarXiv:2407.10704
9
citations

Rapid Learning without Catastrophic Forgetting in the Morris Water Maze

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

ICML 2024poster

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.

ECCV 2024posterarXiv:2403.09296
16
citations

Self-Composing Policies for Scalable Continual Reinforcement Learning

Mikel Malagón, Josu Ceberio, Jose A Lozano

ICML 2024poster

Stationary Latent Weight Inference for Unreliable Observations from Online Test-Time Adaptation

Jae-Hong Lee, Joon Hyuk Chang

ICML 2024poster

STSP: Spatial-Temporal Subspace Projection for Video Class-incremental Learning

Hao CHENG, SIYUAN YANG, Chong Wang et al.

ECCV 2024poster
6
citations

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

Yusong Hu, De Cheng, Dingwen Zhang et al.

ICML 2024poster

Towards Continual Knowledge Graph Embedding via Incremental Distillation

Jiajun Liu, Ke Wenjun, Peng Wang et al.

AAAI 2024paperarXiv:2405.04453
39
citations

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

Depeng Li, Tianqi Wang, Junwei Chen et al.

AAAI 2024paperarXiv:2401.09067
8
citations

Understanding Forgetting in Continual Learning with Linear Regression

Meng Ding, Kaiyi Ji, Di Wang et al.

ICML 2024poster

What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement

Xisen Jin, Xiang Ren

ICML 2024spotlight