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Training Networks in Null Space of Feature Covariance for Continual
  Learning

Training Networks in Null Space of Feature Covariance for Continual Learning

12 March 2021
Shipeng Wang
Xiaorong Li
Jian Sun
Zongben Xu
    CLL
ArXivPDFHTML

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

50 / 78 papers shown
Title
Low-Complexity Inference in Continual Learning via Compressed Knowledge Transfer
Low-Complexity Inference in Continual Learning via Compressed Knowledge Transfer
Zhenrong Liu
J. Huttunen
M. Honkala
CLL
49
0
0
13 May 2025
DeltaEdit: Enhancing Sequential Editing in Large Language Models by Controlling Superimposed Noise
DeltaEdit: Enhancing Sequential Editing in Large Language Models by Controlling Superimposed Noise
Ding Cao
Yuchen Cai
Rongxi Guo
X. He
Guiquan Liu
KELM
42
0
0
12 May 2025
Mathematics of Continual Learning
Mathematics of Continual Learning
Liangzu Peng
René Vidal
CLL
70
0
0
24 Apr 2025
Self-Controlled Dynamic Expansion Model for Continual Learning
Self-Controlled Dynamic Expansion Model for Continual Learning
RunQing Wu
KaiHui Huang
HanYi Zhang
Fei Ye
CLL
VLM
47
0
0
14 Apr 2025
BECAME: BayEsian Continual Learning with Adaptive Model MErging
BECAME: BayEsian Continual Learning with Adaptive Model MErging
Mei Li
Yuxiang Lu
Qinyan Dai
Suizhi Huang
Yue Ding
Hongtao Lu
CLL
MoMe
44
0
0
03 Apr 2025
ProtoGuard-guided PROPEL: Class-Aware Prototype Enhancement and Progressive Labeling for Incremental 3D Point Cloud Segmentation
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
Continual Learning With Quasi-Newton Methods
Steven Vander Eeckt
Hugo Van hamme
CLL
BDL
69
0
0
25 Mar 2025
LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
Xuan Liu
Xiaobin Chang
CLL
174
0
0
23 Mar 2025
Continual Multimodal Contrastive Learning
Continual Multimodal Contrastive Learning
Xiaohao Liu
Xiaobo Xia
See-Kiong Ng
Tat-Seng Chua
CLL
57
0
0
19 Mar 2025
ACE: Concept Editing in Diffusion Models without Performance Degradation
Ruipeng Wang
Junfeng Fang
Jiaqi Li
Hao Chen
Jie Shi
K. Wang
X. Wang
DiffM
53
2
0
11 Mar 2025
SPEED: Scalable, Precise, and Efficient Concept Erasure for Diffusion Models
Ouxiang Li
Yuan Wang
Xinting Hu
Houcheng Jiang
Tao Liang
Y. Hao
Guojun Ma
Fuli Feng
DiffM
49
1
0
10 Mar 2025
Achieving Upper Bound Accuracy of Joint Training in Continual Learning
Achieving Upper Bound Accuracy of Joint Training in Continual Learning
Saleh Momeni
Bing Liu
CLL
84
1
0
17 Feb 2025
Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector
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
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
172
0
0
15 Jan 2025
Dual Low-Rank Adaptation for Continual Learning with Pre-Trained Models
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
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
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
37
33
0
03 Oct 2024
LW2G: Learning Whether to Grow for Prompt-based Continual Learning
LW2G: Learning Whether to Grow for Prompt-based Continual Learning
Qian Feng
Dawei Zhou
Hanbin Zhao
Chao Zhang
Hui Qian
VLM
CLL
37
3
0
27 Sep 2024
NPAT Null-Space Projected Adversarial Training Towards Zero
  Deterioration
NPAT Null-Space Projected Adversarial Training Towards Zero Deterioration
Hanyi Hu
Qiao Han
Kui Chen
Yao Yang
AAML
20
0
0
18 Sep 2024
Continual Learning of Nonlinear Independent Representations
Continual Learning of Nonlinear Independent Representations
Boyang Sun
Ignavier Ng
Guangyi Chen
Yifan Shen
Qirong Ho
Kun Zhang
OOD
CML
45
0
0
11 Aug 2024
Diffusion Model Meets Non-Exemplar Class-Incremental Learning and Beyond
Diffusion Model Meets Non-Exemplar Class-Incremental Learning and Beyond
Jichuan Zhang
Yali Li
Xin Liu
Shengjin Wang
DiffM
41
0
0
06 Aug 2024
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning
Liyuan Wang
Jingyi Xie
Xingxing Zhang
Hang Su
Jun Zhu
CLL
47
4
0
07 Jul 2024
The Solution for the sequential task continual learning track of the 2nd
  Greater Bay Area International Algorithm Competition
The Solution for the sequential task continual learning track of the 2nd Greater Bay Area International Algorithm Competition
Sishun Pan
Xixian Wu
Tingmin Li
Longfei Huang
Mingxu Feng
Zhonghua Wan
Yang Yang
CLL
26
0
0
06 Jul 2024
Multimodal Classification via Modal-Aware Interactive Enhancement
Multimodal Classification via Modal-Aware Interactive Enhancement
Qing-Yuan Jiang
Zhouyang Chi
Yang Yang
33
3
0
05 Jul 2024
The Championship-Winning Solution for the 5th CLVISION Challenge 2024
The Championship-Winning Solution for the 5th CLVISION Challenge 2024
Sishun Pan
Tingmin Li
Yang Yang
CLL
29
0
0
24 Jun 2024
Center-Sensitive Kernel Optimization for Efficient On-Device Incremental
  Learning
Center-Sensitive Kernel Optimization for Efficient On-Device Incremental Learning
Dingwen Zhang
Yan Li
De-Chun Cheng
N. Wang
J. Han
CLL
36
0
0
13 Jun 2024
Visual Prompt Tuning in Null Space for Continual Learning
Visual Prompt Tuning in Null Space for Continual Learning
Yue Lu
Shizhou Zhang
De-Chun Cheng
Yinghui Xing
N. Wang
Peng Wang
Yanning Zhang
VLM
VPVLM
CLL
29
8
0
09 Jun 2024
Machine Unlearning via Null Space Calibration
Machine Unlearning via Null Space Calibration
Huiqiang Chen
Tianqing Zhu
Xin Yu
Wanlei Zhou
41
6
0
21 Apr 2024
Control Theoretic Approach to Fine-Tuning and Transfer Learning
Control Theoretic Approach to Fine-Tuning and Transfer Learning
Erkan Bayram
Shenyu Liu
M. Belabbas
Tamer Basar
19
0
0
17 Apr 2024
Enhancing Visual Continual Learning with Language-Guided Supervision
Enhancing Visual Continual Learning with Language-Guided Supervision
Bolin Ni
Hongbo Zhao
Chenghao Zhang
Ke Hu
Gaofeng Meng
Zhaoxiang Zhang
Shiming Xiang
CLL
VLM
43
3
0
24 Mar 2024
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers
Haoyang Liu
Aditya Singh
Yijiang Li
Haohan Wang
AAML
ViT
36
1
0
15 Mar 2024
Continual All-in-One Adverse Weather Removal with Knowledge Replay on a
  Unified Network Structure
Continual All-in-One Adverse Weather Removal with Knowledge Replay on a Unified Network Structure
De-Chun Cheng
Yanling Ji
Dong Gong
Yan Li
Nannan Wang
Junwei Han
Dingwen Zhang
CLL
23
12
0
12 Mar 2024
Robustness-Congruent Adversarial Training for Secure Machine Learning
  Model Updates
Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates
Daniele Angioni
Luca Demetrio
Maura Pintor
Luca Oneto
Davide Anguita
Battista Biggio
Fabio Roli
AAML
27
2
0
27 Feb 2024
Maintaining Adversarial Robustness in Continuous Learning
Maintaining Adversarial Robustness in Continuous Learning
Xiaolei Ru
Xiaowei Cao
Zijia Liu
Jack Murdoch Moore
Xin-Ya Zhang
Xia Zhu
Wenjia Wei
Gang Yan
AAML
19
1
0
17 Feb 2024
Towards Continual Learning Desiderata via HSIC-Bottleneck
  Orthogonalization and Equiangular Embedding
Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding
Depeng Li
Tianqi Wang
Junwei Chen
Qining Ren
Kenji Kawaguchi
Zhigang Zeng
CLL
45
6
0
17 Jan 2024
Learning a Low-Rank Feature Representation: Achieving Better Trade-Off
  between Stability and Plasticity in Continual Learning
Learning a Low-Rank Feature Representation: Achieving Better Trade-Off between Stability and Plasticity in Continual Learning
Zhenrong Liu
Yang Li
Yi Gong
Yik-Chung Wu
CLL
18
1
0
14 Dec 2023
Continual Learning through Networks Splitting and Merging with
  Dreaming-Meta-Weighted Model Fusion
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
26
1
0
12 Dec 2023
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning
Jiaqi Li
Yuanhao Lai
Rui Wang
Changjian Shui
Sabyasachi Sahoo
Charles X. Ling
Shichun Yang
Boyu Wang
Christian Gagné
Fan Zhou
CLL
40
1
0
26 Nov 2023
CovarNav: Machine Unlearning via Model Inversion and Covariance
  Navigation
CovarNav: Machine Unlearning via Model Inversion and Covariance Navigation
Ali Abbasi
Chayne Thrash
Elaheh Akbari
Daniel Zhang
Soheil Kolouri
MU
30
3
0
21 Nov 2023
BrainWash: A Poisoning Attack to Forget in Continual Learning
BrainWash: A Poisoning Attack to Forget in Continual Learning
Ali Abbasi
Parsa Nooralinejad
Hamed Pirsiavash
Soheil Kolouri
CLL
KELM
AAML
26
5
0
20 Nov 2023
Towards Plastic and Stable Exemplar-Free Incremental Learning: A
  Dual-Learner Framework with Cumulative Parameter Averaging
Towards Plastic and Stable Exemplar-Free Incremental Learning: A Dual-Learner Framework with Cumulative Parameter Averaging
Wenju Sun
Qingyong Li
Wen Wang
Yangli-ao Geng
CLL
MoMe
13
3
0
28 Oct 2023
Towards Anytime Fine-tuning: Continually Pre-trained Language Models
  with Hypernetwork Prompt
Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompt
Gangwei Jiang
Caigao Jiang
Siqiao Xue
James Y. Zhang
Junqing Zhou
Defu Lian
Ying Wei
VLM
32
7
0
19 Oct 2023
Keep Moving: identifying task-relevant subspaces to maximise plasticity
  for newly learned tasks
Keep Moving: identifying task-relevant subspaces to maximise plasticity for newly learned tasks
Daniel Anthes
Sushrut Thorat
Peter König
Tim C Kietzmann
CLL
22
0
0
07 Oct 2023
Continual Contrastive Spoken Language Understanding
Continual Contrastive Spoken Language Understanding
Umberto Cappellazzo
Enrico Fini
Muqiao Yang
Daniele Falavigna
A. Brutti
Bhiksha Raj
CLL
23
1
0
04 Oct 2023
Primal Dual Continual Learning: Balancing Stability and Plasticity
  through Adaptive Memory Allocation
Primal Dual Continual Learning: Balancing Stability and Plasticity through Adaptive Memory Allocation
Juan Elenter
Navid Naderializadeh
Tara Javidi
Alejandro Ribeiro
CLL
15
1
0
29 Sep 2023
ScrollNet: Dynamic Weight Importance for Continual Learning
ScrollNet: Dynamic Weight Importance for Continual Learning
Fei Yang
Kai Wang
Joost van de Weijer
22
4
0
31 Aug 2023
Balanced Destruction-Reconstruction Dynamics for Memory-replay Class
  Incremental Learning
Balanced Destruction-Reconstruction Dynamics for Memory-replay Class Incremental Learning
Yuhang Zhou
Jiangchao Yao
Feng Hong
Ya-Qin Zhang
Yanfeng Wang
23
6
0
03 Aug 2023
Towards Open Federated Learning Platforms: Survey and Vision from
  Technical and Legal Perspectives
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives
Moming Duan
Qinbin Li
Linshan Jiang
Bingsheng He
FedML
31
4
0
05 Jul 2023
POP: Prompt Of Prompts for Continual Learning
POP: Prompt Of Prompts for Continual Learning
Zhiyuan Hu
J. Lyu
Dashan Gao
Nuno Vasconcelos
CLL
LRM
VLM
11
5
0
14 Jun 2023
The Ideal Continual Learner: An Agent That Never Forgets
The Ideal Continual Learner: An Agent That Never Forgets
Liangzu Peng
Paris V. Giampouras
René Vidal
CLL
108
26
0
29 Apr 2023
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