Training Networks in Null Space of Feature Covariance for Continual Learning

12 March 2021

Papers citing "Training Networks in Null Space of Feature Covariance for Continual Learning"

23 / 23 papers shown

Title
Low-Complexity Inference in Continual Learning via Compressed Knowledge Transfer Zhenrong Liu J. Huttunen M. Honkala CLL 36 0 0 13 May 2025
Mathematics of Continual Learning Liangzu Peng René Vidal CLL 68 0 0 24 Apr 2025
ProtoGuard-guided PROPEL: Class-Aware Prototype Enhancement and Progressive Labeling for Incremental 3D Point Cloud Segmentation H. Li Yuecong Xu Junjie Chen Kemi Ding 3DPC CLL 37 0 0 02 Apr 2025
Continual Learning With Quasi-Newton Methods Steven Vander Eeckt Hugo Van hamme CLL BDL 63 0 0 25 Mar 2025
LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning Xuan Liu Xiaobin Chang CLL 107 0 0 23 Mar 2025
Achieving Upper Bound Accuracy of Joint Training in Continual Learning Saleh Momeni Bing Liu CLL 80 1 0 17 Feb 2025
Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector Qirui Wu Shizhou Zhang De-Chun Cheng Yinghui Xing Di Xu Peng Wang Yanning Zhang ObjD 61 0 0 08 Feb 2025
Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model RunQing Wu Fei Ye QiHe Liu Guoxi Huang Jinyu Guo Rongyao Hu CLL 124 0 0 15 Jan 2025
Dual Low-Rank Adaptation for Continual Learning with Pre-Trained Models Huancheng Chen Jingtao Li Nidham Gazagnadou Weiming Zhuang Chen Chen Lingjuan Lyu VLM CLL 47 1 0 01 Nov 2024
SLIM: Let LLM Learn More and Forget Less with Soft LoRA and Identity Mixture Jiayi Han Liang Du Hongwei Du Xiangguo Zhou Yiwen Wu Weibo Zheng Donghong Han CLL MoMe MoE 38 2 0 10 Oct 2024
AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models Junfeng Fang Houcheng Jiang Kun Wang Yunshan Ma Shi Jie Xiangnan He Tat-Seng Chua Tat-seng Chua KELM 35 33 0 03 Oct 2024
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning Liyuan Wang Jingyi Xie Xingxing Zhang Hang Su Jun Zhu CLL 45 4 0 07 Jul 2024
Machine Unlearning via Null Space Calibration Huiqiang Chen Tianqing Zhu Xin Yu Wanlei Zhou 28 6 0 21 Apr 2024
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers Haoyang Liu Aditya Singh Yijiang Li Haohan Wang AAML ViT 31 1 0 15 Mar 2024
Continual Learning through Networks Splitting and Merging with Dreaming-Meta-Weighted Model Fusion Yi Sun Xin Xu Jian Li Guanglei Xie Yifei Shi Qiang Fang CLL MoMe 19 1 0 12 Dec 2023
Exploring Data Geometry for Continual Learning Zhi Gao C. Xu Feng Li Yunde Jia Mehrtash Harandi Yuwei Wu CLL 21 9 0 08 Apr 2023
Learning Federated Visual Prompt in Null Space for MRI Reconstruction Chun-Mei Feng Bangjun Li Xinxing Xu Yong Liu H. Fu W. Zuo FedML 19 41 0 28 Mar 2023
CoDeC: Communication-Efficient Decentralized Continual Learning Sakshi Choudhary Sai Aparna Aketi Gobinda Saha Kaushik Roy CLL 24 3 0 27 Mar 2023
Restricted Orthogonal Gradient Projection for Continual Learning Zeyuan Yang Zonghan Yang Peng Li Yang Liu CLL 19 4 0 28 Jan 2023
Continual Learning of Natural Language Processing Tasks: A Survey Zixuan Ke Bin Liu KELM CLL VLM 19 67 0 23 Nov 2022
Hierarchically Structured Task-Agnostic Continual Learning Heinke Hihn Daniel A. Braun BDL CLL 19 8 0 14 Nov 2022
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning Yabin Wang Zhiwu Huang Xiaopeng Hong CLL VLM 15 208 0 26 Jul 2022
Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers Wenju Sun Qingyong Li Jing Zhang Danyu Wang Wen Wang Yangli-ao Geng BDL 19 3 0 05 Jan 2022