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1802.02950
Cited By
Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting
8 February 2018
Xialei Liu
Marc Masana
Luis Herranz
Joost van de Weijer
Antonio M. López
Andrew D. Bagdanov
CLL
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Papers citing
"Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting"
50 / 62 papers shown
Title
Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models
Songlin Dong
Chenhao Ding
Jiangyang Li
Jizhou Han
Qiang Wang
Yuhang He
Yihong Gong
CLL
VLM
69
0
0
12 May 2025
A Framework for Elastic Adaptation of User Multiple Intents in Sequential Recommendation
Zhikai Wang
Yanyan Shen
AI4TS
58
0
0
30 Apr 2025
Continual Learning With Quasi-Newton Methods
Steven Vander Eeckt
Hugo Van hamme
CLL
BDL
69
0
0
25 Mar 2025
Continual Multimodal Contrastive Learning
Xiaohao Liu
Xiaobo Xia
See-Kiong Ng
Tat-Seng Chua
CLL
89
0
0
19 Mar 2025
Online Curvature-Aware Replay: Leveraging
2
n
d
\mathbf{2^{nd}}
2
nd
Order Information for Online Continual Learning
Edoardo Urettini
Antonio Carta
81
0
0
03 Feb 2025
Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learning
Qifan Zhang
Yunhui Guo
Yu Xiang
CLL
VLM
69
0
0
18 Jul 2024
Online Analytic Exemplar-Free Continual Learning with Large Models for Imbalanced Autonomous Driving Task
Huiping Zhuang
Di Fang
Kai Tong
Yuchen Liu
Huiping Zhuang
Xu Zhou
Cen Chen
CLL
49
1
0
28 May 2024
REAL: Representation Enhanced Analytic Learning for Exemplar-free Class-incremental Learning
Run He
Huiping Zhuang
Di Fang
Yizhu Chen
Kai Tong
Cen Chen
Lap-Pui Chau
Huiping Zhuang
63
1
0
20 Mar 2024
Continual Learning on Graphs: A Survey
Zonggui Tian
Duanhao Zhang
Hong-Ning Dai
59
5
0
09 Feb 2024
Continual Learning via Sequential Function-Space Variational Inference
Tim G. J. Rudner
Freddie Bickford-Smith
Qixuan Feng
Yee Whye Teh
Y. Gal
35
39
0
28 Dec 2023
Class Incremental Learning with Pre-trained Vision-Language Models
Xialei Liu
Xusheng Cao
Haori Lu
Jia-Wen Xiao
Andrew D. Bagdanov
Ming-Ming Cheng
VLM
47
12
0
31 Oct 2023
Rethinking Class-incremental Learning in the Era of Large Pre-trained Models via Test-Time Adaptation
Imad Eddine Marouf
Subhankar Roy
Enzo Tartaglione
Stéphane Lathuilière
CLL
44
3
0
17 Oct 2023
Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning
Alex Gomez-Villa
Bartlomiej Twardowski
Kai Wang
Joost van de Weijer
SSL
CLL
38
9
0
12 Sep 2023
Continual Multimodal Knowledge Graph Construction
Xiang Chen
Jintian Zhang
Xiaohan Wang
Ningyu Zhang
Tongtong Wu
Luo Si
Yongheng Wang
Huajun Chen
KELM
CLL
53
14
0
15 May 2023
Remind of the Past: Incremental Learning with Analogical Prompts
Zhiheng Ma
Xiaopeng Hong
Beinan Liu
Yabin Wang
Pinyue Guo
Huiyun Li
CLL
62
1
0
24 Mar 2023
Fixed Design Analysis of Regularization-Based Continual Learning
Haoran Li
Jingfeng Wu
Vladimir Braverman
CLL
36
10
0
17 Mar 2023
ICICLE: Interpretable Class Incremental Continual Learning
Dawid Rymarczyk
Joost van de Weijer
Bartosz Zieliñski
Bartlomiej Twardowski
CLL
39
28
0
14 Mar 2023
Towards Continual Egocentric Activity Recognition: A Multi-modal Egocentric Activity Dataset for Continual Learning
Linfeng Xu
Qingbo Wu
Lili Pan
Fanman Meng
Hongliang Li
Chiyuan He
Hanxin Wang
Shaoxu Cheng
Yunshu Dai
EgoV
HAI
41
23
0
26 Jan 2023
Online Class-Incremental Learning For Real-World Food Image Classification
S. Raghavan
Jiangpeng He
Fengqing Zhu
CLL
68
14
0
12 Jan 2023
Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning
Xialei Liu
Jiang-Tian Zhai
Andrew D. Bagdanov
Ke Li
Mingg-Ming Cheng
CLL
33
4
0
16 Dec 2022
Exemplar-free Continual Learning of Vision Transformers via Gated Class-Attention and Cascaded Feature Drift Compensation
Marco Cotogni
Fei Yang
C. Cusano
Andrew D. Bagdanov
Joost van de Weijer
CLL
38
0
0
22 Nov 2022
Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data
M. Kurmanji
Peter Triantafillou
OOD
AAML
41
18
0
11 Oct 2022
Continual Prune-and-Select: Class-incremental learning with specialized subnetworks
Aleksandr Dekhovich
David Tax
M. Sluiter
Miguel A. Bessa
CLL
36
20
0
09 Aug 2022
On-device Synaptic Memory Consolidation using Fowler-Nordheim Quantum-tunneling
Mustafizur Rahman
Subhankar Bose
S. Chakrabartty
31
3
0
27 Jun 2022
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection
Huiping Zhuang
Zhenyu Weng
Hongxin Wei
Renchunzi Xie
Kar-Ann Toh
Zhiping Lin
CLL
54
37
0
30 May 2022
Consistent Representation Learning for Continual Relation Extraction
Kang Zhao
Hua Xu
Jian Yang
Kai Gao
CLL
46
51
0
05 Mar 2022
Provable Continual Learning via Sketched Jacobian Approximations
Reinhard Heckel
CLL
35
10
0
09 Dec 2021
Merging Models with Fisher-Weighted Averaging
Michael Matena
Colin Raffel
FedML
MoMe
50
366
0
18 Nov 2021
Target Layer Regularization for Continual Learning Using Cramer-Wold Generator
Marcin Mazur
Lukasz Pustelnik
Szymon Knop
Patryk Pagacz
Przemysław Spurek
36
2
0
15 Nov 2021
HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification
Kai Wang
Xialei Liu
Luis Herranz
Joost van de Weijer
CLL
35
4
0
21 Oct 2021
Learning Online Visual Invariances for Novel Objects via Supervised and Self-Supervised Training
Valerio Biscione
J. Bowers
56
13
0
04 Oct 2021
Recent Advances of Continual Learning in Computer Vision: An Overview
Haoxuan Qu
Hossein Rahmani
Li Xu
Bryan M. Williams
Jun Liu
VLM
CLL
30
73
0
23 Sep 2021
AdaXpert: Adapting Neural Architecture for Growing Data
Shuaicheng Niu
Jiaxiang Wu
Guanghui Xu
Yifan Zhang
Yong Guo
P. Zhao
Peng Wang
Mingkui Tan
50
14
0
01 Jul 2021
Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis
Saurav Jha
Martin Schiemer
F. Zambonelli
Juan Ye
28
48
0
19 Apr 2021
Lifelong Learning with Sketched Structural Regularization
Haoran Li
A. Krishnan
Jingfeng Wu
Soheil Kolouri
Praveen K. Pilly
Vladimir Braverman
CLL
40
17
0
17 Apr 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
Dmitry Kalashnikov
Jacob Varley
Yevgen Chebotar
Benjamin Swanson
Rico Jonschkowski
Chelsea Finn
Sergey Levine
Karol Hausman
OffRL
52
274
0
16 Apr 2021
Rainbow Memory: Continual Learning with a Memory of Diverse Samples
Jihwan Bang
Heesu Kim
Y. Yoo
Jung-Woo Ha
Jonghyun Choi
CLL
47
327
0
31 Mar 2021
Few-Shot Lifelong Learning
Pratik Mazumder
Pravendra Singh
Piyush Rai
CLL
31
119
0
01 Mar 2021
Curriculum-Meta Learning for Order-Robust Continual Relation Extraction
Tongtong Wu
Xuekai Li
Yuan-Fang Li
Reza Haffari
Guilin Qi
Yujin Zhu
Guoqiang Xu
CLL
43
67
0
06 Jan 2021
Class-incremental learning: survey and performance evaluation on image classification
Marc Masana
Xialei Liu
Bartlomiej Twardowski
Mikel Menta
Andrew D. Bagdanov
Joost van de Weijer
CLL
42
669
0
28 Oct 2020
RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning
Riccardo Del Chiaro
Bartlomiej Twardowski
Andrew D. Bagdanov
Joost van de Weijer
CLL
VLM
30
40
0
13 Jul 2020
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning
Hanbin Zhao
Yongjian Fu
Mintong Kang
Qi Tian
Fei Wu
Xi Li
CLL
36
98
0
28 Jun 2020
Efficient Architecture Search for Continual Learning
Qiang Gao
Zhipeng Luo
Diego Klabjan
CLL
48
48
0
07 Jun 2020
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting
Sanyuan Chen
Yutai Hou
Yiming Cui
Wanxiang Che
Ting Liu
Xiangzhan Yu
KELM
CLL
26
215
0
27 Apr 2020
Few-Shot Class-Incremental Learning
Xiaoyu Tao
Xiaopeng Hong
Xinyuan Chang
Songlin Dong
Xing Wei
Yihong Gong
CLL
57
405
0
23 Apr 2020
Generative Feature Replay For Class-Incremental Learning
Xialei Liu
Chenshen Wu
Mikel Menta
Luis Herranz
Bogdan Raducanu
Andrew D. Bagdanov
Shangling Jui
Joost van de Weijer
CLL
31
148
0
20 Apr 2020
Continual Learning with Extended Kronecker-factored Approximate Curvature
Janghyeon Lee
H. Hong
Donggyu Joo
Junmo Kim
CLL
25
52
0
16 Apr 2020
Learning to Continually Learn
Shawn L. E. Beaulieu
Lapo Frati
Thomas Miconi
Joel Lehman
Kenneth O. Stanley
Jeff Clune
Nick Cheney
KELM
CLL
53
147
0
21 Feb 2020
Frosting Weights for Better Continual Training
Xiaofeng Zhu
Feng Liu
Goce Trajcevski
Dingding Wang
FedML
AI4CE
CLL
33
5
0
07 Jan 2020
Efficient Continual Learning in Neural Networks with Embedding Regularization
Jary Pomponi
Simone Scardapane
Vincenzo Lomonaco
A. Uncini
CLL
36
41
0
09 Sep 2019
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