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Rotate your Networks: Better Weight Consolidation and Less Catastrophic
  Forgetting

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
ArXivPDFHTML

Papers citing "Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting"

39 / 39 papers shown
Title
Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models
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
40
0
0
12 May 2025
A Framework for Elastic Adaptation of User Multiple Intents in Sequential Recommendation
A Framework for Elastic Adaptation of User Multiple Intents in Sequential Recommendation
Zhikai Wang
Yanyan Shen
AI4TS
33
0
0
30 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
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
Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learning
Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learning
Qifan Zhang
Yunhui Guo
Yu Xiang
VLM
CLL
56
0
0
18 Jul 2024
Continual Learning on Graphs: A Survey
Continual Learning on Graphs: A Survey
Zonggui Tian
Duanhao Zhang
Hong-Ning Dai
47
5
0
09 Feb 2024
Rethinking Class-incremental Learning in the Era of Large Pre-trained
  Models via Test-Time Adaptation
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
26
3
0
17 Oct 2023
Plasticity-Optimized Complementary Networks for Unsupervised Continual
  Learning
Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning
Alex Gomez-Villa
Bartlomiej Twardowski
Kai Wang
Joost van de Weijer
SSL
CLL
33
8
0
12 Sep 2023
Continual Multimodal Knowledge Graph Construction
Continual Multimodal Knowledge Graph Construction
Xiang Chen
Jintian Zhang
Xiaohan Wang
Ningyu Zhang
Tongtong Wu
Luo Si
Yongheng Wang
Huajun Chen
KELM
CLL
27
14
0
15 May 2023
Remind of the Past: Incremental Learning with Analogical Prompts
Remind of the Past: Incremental Learning with Analogical Prompts
Zhiheng Ma
Xiaopeng Hong
Beinan Liu
Yabin Wang
Pinyue Guo
Huiyun Li
CLL
26
1
0
24 Mar 2023
Fixed Design Analysis of Regularization-Based Continual Learning
Fixed Design Analysis of Regularization-Based Continual Learning
Haoran Li
Jingfeng Wu
Vladimir Braverman
CLL
26
9
0
17 Mar 2023
ICICLE: Interpretable Class Incremental Continual Learning
ICICLE: Interpretable Class Incremental Continual Learning
Dawid Rymarczyk
Joost van de Weijer
Bartosz Zieliñski
Bartlomiej Twardowski
CLL
32
28
0
14 Mar 2023
Towards Continual Egocentric Activity Recognition: A Multi-modal
  Egocentric Activity Dataset for Continual Learning
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
25
23
0
26 Jan 2023
Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental
  Learning
Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning
Xialei Liu
Jiang-Tian Zhai
Andrew D. Bagdanov
Ke Li
Mingg-Ming Cheng
CLL
23
4
0
16 Dec 2022
Continual Prune-and-Select: Class-incremental learning with specialized
  subnetworks
Continual Prune-and-Select: Class-incremental learning with specialized subnetworks
Aleksandr Dekhovich
David Tax
M. Sluiter
Miguel A. Bessa
CLL
21
20
0
09 Aug 2022
On-device Synaptic Memory Consolidation using Fowler-Nordheim
  Quantum-tunneling
On-device Synaptic Memory Consolidation using Fowler-Nordheim Quantum-tunneling
Mustafizur Rahman
Subhankar Bose
S. Chakrabartty
19
3
0
27 Jun 2022
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and
  Privacy Protection
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
30
35
0
30 May 2022
Consistent Representation Learning for Continual Relation Extraction
Consistent Representation Learning for Continual Relation Extraction
Kang Zhao
Hua Xu
Jian Yang
Kai Gao
CLL
28
50
0
05 Mar 2022
Provable Continual Learning via Sketched Jacobian Approximations
Provable Continual Learning via Sketched Jacobian Approximations
Reinhard Heckel
CLL
20
9
0
09 Dec 2021
Merging Models with Fisher-Weighted Averaging
Merging Models with Fisher-Weighted Averaging
Michael Matena
Colin Raffel
FedML
MoMe
32
352
0
18 Nov 2021
HCV: Hierarchy-Consistency Verification for Incremental
  Implicitly-Refined Classification
HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification
Kai Wang
Xialei Liu
Luis Herranz
Joost van de Weijer
CLL
19
4
0
21 Oct 2021
Recent Advances of Continual Learning in Computer Vision: An Overview
Recent Advances of Continual Learning in Computer Vision: An Overview
Haoxuan Qu
Hossein Rahmani
Li Xu
Bryan M. Williams
Jun Liu
VLM
CLL
25
73
0
23 Sep 2021
Continual Learning in Sensor-based Human Activity Recognition: an
  Empirical Benchmark Analysis
Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis
Saurav Jha
Martin Schiemer
F. Zambonelli
Juan Ye
23
48
0
19 Apr 2021
Lifelong Learning with Sketched Structural Regularization
Lifelong Learning with Sketched Structural Regularization
Haoran Li
A. Krishnan
Jingfeng Wu
Soheil Kolouri
Praveen K. Pilly
Vladimir Braverman
CLL
22
17
0
17 Apr 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
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
47
270
0
16 Apr 2021
Curriculum-Meta Learning for Order-Robust Continual Relation Extraction
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
35
67
0
06 Jan 2021
RATT: Recurrent Attention to Transient Tasks for Continual Image
  Captioning
RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning
Riccardo Del Chiaro
Bartlomiej Twardowski
Andrew D. Bagdanov
Joost van de Weijer
CLL
VLM
22
40
0
13 Jul 2020
Efficient Architecture Search for Continual Learning
Efficient Architecture Search for Continual Learning
Qiang Gao
Zhipeng Luo
Diego Klabjan
CLL
30
47
0
07 Jun 2020
Few-Shot Class-Incremental Learning
Few-Shot Class-Incremental Learning
Xiaoyu Tao
Xiaopeng Hong
Xinyuan Chang
Songlin Dong
Xing Wei
Yihong Gong
CLL
30
403
0
23 Apr 2020
Continual Learning with Extended Kronecker-factored Approximate
  Curvature
Continual Learning with Extended Kronecker-factored Approximate Curvature
Janghyeon Lee
H. Hong
Donggyu Joo
Junmo Kim
CLL
20
52
0
16 Apr 2020
Learning to Continually Learn
Learning to Continually Learn
Shawn L. E. Beaulieu
Lapo Frati
Thomas Miconi
Joel Lehman
Kenneth O. Stanley
Jeff Clune
Nick Cheney
KELM
CLL
41
146
0
21 Feb 2020
Frosting Weights for Better Continual Training
Frosting Weights for Better Continual Training
Xiaofeng Zhu
Feng Liu
Goce Trajcevski
Dingding Wang
FedML
AI4CE
CLL
28
5
0
07 Jan 2020
Efficient Continual Learning in Neural Networks with Embedding
  Regularization
Efficient Continual Learning in Neural Networks with Embedding Regularization
Jary Pomponi
Simone Scardapane
Vincenzo Lomonaco
A. Uncini
CLL
33
41
0
09 Sep 2019
Overcoming Catastrophic Forgetting by Neuron-level Plasticity Control
Overcoming Catastrophic Forgetting by Neuron-level Plasticity Control
Inyoung Paik
Sangjun Oh
Taeyeong Kwak
Injung Kim
CLL
29
49
0
31 Jul 2019
Class-incremental Learning via Deep Model Consolidation
Class-incremental Learning via Deep Model Consolidation
Junting Zhang
Jie Zhang
Shalini Ghosh
Dawei Li
Serafettin Tasci
Larry Heck
Heming Zhang
C.-C. Jay Kuo
CLL
13
333
0
19 Mar 2019
Sentence Embedding Alignment for Lifelong Relation Extraction
Sentence Embedding Alignment for Lifelong Relation Extraction
Hong Wang
Wenhan Xiong
Mo Yu
Xiaoxiao Guo
Shiyu Chang
William Yang Wang
CLL
18
132
0
06 Mar 2019
DynMat, a network that can learn after learning
DynMat, a network that can learn after learning
J. H. Lee
OffRL
19
5
0
16 Jun 2018
Selfless Sequential Learning
Selfless Sequential Learning
Rahaf Aljundi
Marcus Rohrbach
Tinne Tuytelaars
CLL
28
114
0
14 Jun 2018
Fast Approximate Natural Gradient Descent in a Kronecker-factored
  Eigenbasis
Fast Approximate Natural Gradient Descent in a Kronecker-factored Eigenbasis
Thomas George
César Laurent
Xavier Bouthillier
Nicolas Ballas
Pascal Vincent
ODL
29
150
0
11 Jun 2018
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