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Overcoming Catastrophic Forgetting by Incremental Moment Matching
v1v2v3 (latest)

Overcoming Catastrophic Forgetting by Incremental Moment Matching

24 March 2017
Sang-Woo Lee
Jin-Hwa Kim
Jaehyun Jun
Jung-Woo Ha
Byoung-Tak Zhang
    CLL
ArXiv (abs)PDFHTML

Papers citing "Overcoming Catastrophic Forgetting by Incremental Moment Matching"

50 / 353 papers shown
Title
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
Zhiqiu Lin
Jia Shi
Deepak Pathak
Deva Ramanan
CLLVLM
385
106
0
17 Jan 2022
Exemplar-free Class Incremental Learning via Discriminative and
  Comparable One-class Classifiers
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
198
4
0
05 Jan 2022
Generative Kernel Continual learning
Generative Kernel Continual learning
Mohammad Mahdi Derakhshani
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
BDLVLM
88
0
0
26 Dec 2021
Continual Learning with Knowledge Transfer for Sentiment Classification
Continual Learning with Knowledge Transfer for Sentiment Classification
Zixuan Ke
Bing-Quan Liu
Hao Wang
Lei Shu
CLL
177
34
0
18 Dec 2021
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks
Continual Learning of a Mixed Sequence of Similar and Dissimilar TasksNeural Information Processing Systems (NeurIPS), 2021
Zixuan Ke
Bing-Quan Liu
Xingchang Huang
CLL
164
151
0
18 Dec 2021
An Online Data-Driven Emergency-Response Method for Autonomous Agents in
  Unforeseen Situations
An Online Data-Driven Emergency-Response Method for Autonomous Agents in Unforeseen Situations
Glenn Maguire
Nicholas A. Ketz
Praveen K. Pilly
Jean-Baptiste Mouret
130
1
0
17 Dec 2021
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment
  Classification Tasks
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification TasksNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021
Zixuan Ke
Hu Xu
Bing-Quan Liu
CLL
465
91
0
06 Dec 2021
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment
  Classification Tasks
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification TasksConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Zixuan Ke
Bing-Quan Liu
Hu Xu
Lei Shu
CLL
157
63
0
05 Dec 2021
Achieving Forgetting Prevention and Knowledge Transfer in Continual
  Learning
Achieving Forgetting Prevention and Knowledge Transfer in Continual LearningNeural Information Processing Systems (NeurIPS), 2021
Zixuan Ke
Bing-Quan Liu
Nianzu Ma
Hu Xu
Lei Shu
CLL
387
140
0
05 Dec 2021
Coarse-To-Fine Incremental Few-Shot Learning
Coarse-To-Fine Incremental Few-Shot Learning
Xiang Xiang
Yuwen Tan
Qian Wan
Jing Ma
CLL
198
16
0
24 Nov 2021
Reviewing continual learning from the perspective of human-level
  intelligence
Reviewing continual learning from the perspective of human-level intelligence
Yifan Chang
Wenbo Li
Jian Peng
Bo Tang
Yuzhi Kang
Yinjie Lei
Yuanmiao Gui
Qing Zhu
Yu Liu
Haifeng Li
182
4
0
23 Nov 2021
FFNB: Forgetting-Free Neural Blocks for Deep Continual Visual Learning
FFNB: Forgetting-Free Neural Blocks for Deep Continual Visual LearningBritish Machine Vision Conference (BMVC), 2021
H. Sahbi
Haoming Zhan
AI4CE
78
3
0
22 Nov 2021
Defeating Catastrophic Forgetting via Enhanced Orthogonal Weights
  Modification
Defeating Catastrophic Forgetting via Enhanced Orthogonal Weights Modification
Yanni Li
Bing Liu
Kaicheng Yao
Xiaoli Kou
Pengfan Lv
Yueshen Xu
J. Cui
CLL
128
0
0
19 Nov 2021
GCR: Gradient Coreset Based Replay Buffer Selection For Continual
  Learning
GCR: Gradient Coreset Based Replay Buffer Selection For Continual Learning
Rishabh Tiwari
Krishnateja Killamsetty
Rishabh K. Iyer
Pradeep Shenoy
BDLCLL
265
163
0
18 Nov 2021
TaskDrop: A Competitive Baseline for Continual Learning of Sentiment
  Classification
TaskDrop: A Competitive Baseline for Continual Learning of Sentiment Classification
Jianping Mei
Yilun Zheng
Qianwei Zhou
Rui Yan
VLMCLL
205
6
0
05 Nov 2021
Exploring System Performance of Continual Learning for Mobile and
  Embedded Sensing Applications
Exploring System Performance of Continual Learning for Mobile and Embedded Sensing Applications
Young D. Kwon
Jagmohan Chauhan
Abhishek Kumar
Pan Hui
Cecilia Mascolo
CLLHAI
160
35
0
25 Oct 2021
Latent-Insensitive autoencoders for Anomaly Detection
Latent-Insensitive autoencoders for Anomaly Detection
Muhammad S. Battikh
Artem Lenskiy
UQCV
130
6
0
25 Oct 2021
HCV: Hierarchy-Consistency Verification for Incremental
  Implicitly-Refined Classification
HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined ClassificationBritish Machine Vision Conference (BMVC), 2021
Kai Wang
Xialei Liu
Luis Herranz
Joost van de Weijer
CLL
178
4
0
21 Oct 2021
Class Incremental Online Streaming Learning
Class Incremental Online Streaming Learning
S. Banerjee
Vinay Kumar Verma
T. Parag
M. Singh
Vinay P. Namboodiri
CLL
125
4
0
20 Oct 2021
Online Continual Learning on Class Incremental Blurry Task Configuration
  with Anytime Inference
Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference
Hyun-woo Koh
Dahyun Kim
Jung-Woo Ha
Jonghyun Choi
CLL
166
79
0
19 Oct 2021
Reminding the Incremental Language Model via Data-Free Self-Distillation
Reminding the Incremental Language Model via Data-Free Self-Distillation
Han Wang
Ruiliu Fu
Chengzhang Li
Xuejun Zhang
Jun Zhou
Yonghong Yan
CLL
187
3
0
17 Oct 2021
Carousel Memory: Rethinking the Design of Episodic Memory for Continual
  Learning
Carousel Memory: Rethinking the Design of Episodic Memory for Continual Learning
Soobee Lee
Minindu Weerakoon
Jonghyun Choi
Minjia Zhang
Di Wang
Myeongjae Jeon
123
2
0
14 Oct 2021
Cognitively Inspired Learning of Incremental Drifting Concepts
Cognitively Inspired Learning of Incremental Drifting ConceptsInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Mohammad Rostami
Aram Galstyan
CLL
205
17
0
09 Oct 2021
GROWN: GRow Only When Necessary for Continual Learning
GROWN: GRow Only When Necessary for Continual Learning
Li Yang
Sen Lin
Junshan Zhang
Deliang Fan
CLL
176
13
0
03 Oct 2021
Recent Advances of Continual Learning in Computer Vision: An Overview
Recent Advances of Continual Learning in Computer Vision: An OverviewIET Computer Vision (ICV), 2021
Haoxuan Qu
Hossein Rahmani
Kepeng Xu
Bryan M. Williams
Jun Liu
VLMCLL
426
96
0
23 Sep 2021
Towards Generalized and Incremental Few-Shot Object Detection
Towards Generalized and Incremental Few-Shot Object Detection
Yiting Li
H. Zhu
Jun Ma
C. Teo
Chen Xiang
P. Vadakkepat
T. Lee
CLLObjD
141
10
0
23 Sep 2021
How to Inject Backdoors with Better Consistency: Logit Anchoring on
  Clean Data
How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data
Zhiyuan Zhang
Lingjuan Lyu
Weiqiang Wang
Lichao Sun
Xu Sun
168
39
0
03 Sep 2021
Online Continual Learning with Natural Distribution Shifts: An Empirical
  Study with Visual Data
Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data
Yong Deng
Ozan Sener
V. Koltun
CLL
176
92
0
20 Aug 2021
An Investigation of Replay-based Approaches for Continual Learning
An Investigation of Replay-based Approaches for Continual Learning
Benedikt Bagus
A. Gepperth
CLL
172
41
0
15 Aug 2021
Model architecture can transform catastrophic forgetting into positive
  transfer
Model architecture can transform catastrophic forgetting into positive transferScientific Reports (Sci Rep), 2021
M. Ruíz-García
106
6
0
09 Aug 2021
Co-Transport for Class-Incremental Learning
Co-Transport for Class-Incremental LearningACM Multimedia (ACM MM), 2021
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
CLL
232
89
0
27 Jul 2021
In Defense of the Learning Without Forgetting for Task Incremental
  Learning
In Defense of the Learning Without Forgetting for Task Incremental Learning
Guy Oren
Lior Wolf
CLL
145
21
0
26 Jul 2021
More Parameters? No Thanks!
More Parameters? No Thanks!Findings (Findings), 2021
Zeeshan Khan
Kartheek Akella
Vinay P. Namboodiri
C. V. Jawahar
99
1
0
20 Jul 2021
Representation Consolidation for Training Expert Students
Representation Consolidation for Training Expert Students
Zhizhong Li
Avinash Ravichandran
Charless C. Fowlkes
M. Polito
Rahul Bhotika
Stefano Soatto
131
6
0
16 Jul 2021
Kernel Continual Learning
Kernel Continual Learning
Mohammad Mahdi Derakhshani
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
CLLBDLVLM
212
41
0
12 Jul 2021
SplitAVG: A heterogeneity-aware federated deep learning method for
  medical imaging
SplitAVG: A heterogeneity-aware federated deep learning method for medical imaging
Miao Zhang
Liangqiong Qu
Praveer Singh
Jayashree Kalpathy-Cramer
D. Rubin
OODFedML
384
68
0
06 Jul 2021
Continual Learning via Inter-Task Synaptic Mapping
Continual Learning via Inter-Task Synaptic MappingKnowledge-Based Systems (KBS), 2021
Fubing Mao
Weiwei Weng
Mahardhika Pratama
E. Yapp
CLLKELM
183
25
0
26 Jun 2021
Continual Novelty Detection
Continual Novelty Detection
Rahaf Aljundi
Daniel Olmeda Reino
N. Chumerin
Richard Turner
132
15
0
24 Jun 2021
Knowledge-Adaptation Priors
Knowledge-Adaptation Priors
Mohammad Emtiyaz Khan
S. Swaroop
BDLVLMODL
172
29
0
16 Jun 2021
Optimizing Reusable Knowledge for Continual Learning via Metalearning
Optimizing Reusable Knowledge for Continual Learning via MetalearningNeural Information Processing Systems (NeurIPS), 2021
J. Hurtado
Alain Raymond-Sáez
Alvaro Soto
CLL
274
42
0
09 Jun 2021
Model Zoo: A Growing "Brain" That Learns Continually
Model Zoo: A Growing "Brain" That Learns ContinuallyInternational Conference on Learning Representations (ICLR), 2021
Rahul Ramesh
Pratik Chaudhari
CLLFedML
233
75
0
06 Jun 2021
Online Coreset Selection for Rehearsal-based Continual Learning
Online Coreset Selection for Rehearsal-based Continual LearningInternational Conference on Learning Representations (ICLR), 2021
Jaehong Yoon
Divyam Madaan
Eunho Yang
Sung Ju Hwang
CLL
332
170
0
02 Jun 2021
Open-world Machine Learning: Applications, Challenges, and Opportunities
Open-world Machine Learning: Applications, Challenges, and OpportunitiesACM Computing Surveys (CSUR), 2021
Jitendra Parmar
S. Chouhan
Vaskar Raychoudhury
S. Rathore
OffRL
292
114
0
27 May 2021
Continual Learning via Bit-Level Information Preserving
Continual Learning via Bit-Level Information PreservingComputer Vision and Pattern Recognition (CVPR), 2021
Yujun Shi
Li-xin Yuan
Yunpeng Chen
Jiashi Feng
CLL
174
50
0
10 May 2021
Continual Learning with Fully Probabilistic Models
Continual Learning with Fully Probabilistic Models
Benedikt Pfülb
A. Gepperth
Benedikt Bagus
BDL
129
9
0
19 Apr 2021
Overcoming Catastrophic Forgetting with Gaussian Mixture Replay
Overcoming Catastrophic Forgetting with Gaussian Mixture ReplayIEEE International Joint Conference on Neural Network (IJCNN), 2021
Benedikt Pfülb
A. Gepperth
VLMBDL
115
14
0
19 Apr 2021
Neural Architecture Search of Deep Priors: Towards Continual Learning
  without Catastrophic Interference
Neural Architecture Search of Deep Priors: Towards Continual Learning without Catastrophic Interference
Martin Mundt
Iuliia Pliushch
Visvanathan Ramesh
UQCVBDL
114
7
0
14 Apr 2021
Tuned Compositional Feature Replays for Efficient Stream Learning
Tuned Compositional Feature Replays for Efficient Stream LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Morgan B. Talbot
Rushikesh Zawar
Rohil Badkundri
Mengmi Zhang
Gabriel Kreiman
CLL
397
2
0
06 Apr 2021
Rainbow Memory: Continual Learning with a Memory of Diverse Samples
Rainbow Memory: Continual Learning with a Memory of Diverse SamplesComputer Vision and Pattern Recognition (CVPR), 2021
Jihwan Bang
Heesu Kim
Y. Yoo
Jung-Woo Ha
Jonghyun Choi
CLL
260
416
0
31 Mar 2021
DER: Dynamically Expandable Representation for Class Incremental
  Learning
DER: Dynamically Expandable Representation for Class Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2021
Shipeng Yan
Jiangwei Xie
Xuming He
CLL
231
563
0
31 Mar 2021
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