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1703.08475
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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
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Papers citing
"Overcoming Catastrophic Forgetting by Incremental Moment Matching"
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Title
Exploring System Performance of Continual Learning for Mobile and Embedded Sensing Applications
Young D. Kwon
Jagmohan Chauhan
Abhishek Kumar
Pan Hui
Cecilia Mascolo
CLL
HAI
28
32
0
25 Oct 2021
HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification
Kai Wang
Xialei Liu
Luis Herranz
Joost van de Weijer
CLL
21
4
0
21 Oct 2021
GROWN: GRow Only When Necessary for Continual Learning
Li Yang
Sen Lin
Junshan Zhang
Deliang Fan
CLL
30
11
0
03 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
25
73
0
23 Sep 2021
Towards Generalized and Incremental Few-Shot Object Detection
Yiting Li
H. Zhu
Jun Ma
C. Teo
Chen Xiang
P. Vadakkepat
T. Lee
CLL
ObjD
26
9
0
23 Sep 2021
How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data
Zhiyuan Zhang
Lingjuan Lyu
Weiqiang Wang
Lichao Sun
Xu Sun
21
35
0
03 Sep 2021
Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data
Zhipeng Cai
Ozan Sener
V. Koltun
CLL
22
83
0
20 Aug 2021
An Investigation of Replay-based Approaches for Continual Learning
Benedikt Bagus
A. Gepperth
CLL
33
33
0
15 Aug 2021
Co-Transport for Class-Incremental Learning
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
CLL
20
73
0
27 Jul 2021
SplitAVG: A heterogeneity-aware federated deep learning method for medical imaging
Miao Zhang
Liangqiong Qu
Praveer Singh
Jayashree Kalpathy-Cramer
D. Rubin
OOD
FedML
21
62
0
06 Jul 2021
Overcoming Catastrophic Forgetting with Gaussian Mixture Replay
Benedikt Pfülb
A. Gepperth
VLM
BDL
24
12
0
19 Apr 2021
DER: Dynamically Expandable Representation for Class Incremental Learning
Shipeng Yan
Jiangwei Xie
Xuming He
CLL
18
434
0
31 Mar 2021
Distilled Replay: Overcoming Forgetting through Synthetic Samples
Andrea Rosasco
Antonio Carta
Andrea Cossu
Vincenzo Lomonaco
D. Bacciu
DD
19
47
0
29 Mar 2021
Efficient Feature Transformations for Discriminative and Generative Continual Learning
Vinay K. Verma
Kevin J Liang
Nikhil Mehta
Piyush Rai
Lawrence Carin
CLL
38
76
0
25 Mar 2021
Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning
Zheda Mai
Ruiwen Li
Hyunwoo J. Kim
Scott Sanner
CLL
23
181
0
22 Mar 2021
Training Networks in Null Space of Feature Covariance for Continual Learning
Shipeng Wang
Xiaorong Li
Jian Sun
Zongben Xu
CLL
31
131
0
12 Mar 2021
Posterior Meta-Replay for Continual Learning
Christian Henning
Maria R. Cervera
Francesco DÁngelo
J. Oswald
Regina Traber
Benjamin Ehret
Seijin Kobayashi
Benjamin Grewe
João Sacramento
CLL
BDL
51
54
0
01 Mar 2021
Continual Learning for Blind Image Quality Assessment
Weixia Zhang
Dingquan Li
Chao Ma
Guangtao Zhai
Xiaokang Yang
Kede Ma
VLM
24
86
0
19 Feb 2021
Parameter-Efficient Transfer Learning with Diff Pruning
Demi Guo
Alexander M. Rush
Yoon Kim
13
385
0
14 Dec 2020
Generalized Variational Continual Learning
Noel Loo
S. Swaroop
Richard Turner
BDL
CLL
33
58
0
24 Nov 2020
Learn to Bind and Grow Neural Structures
Azhar Shaikh
Nishant Sinha
CLL
18
0
0
21 Nov 2020
3D Segmentation Networks for Excessive Numbers of Classes: Distinct Bone Segmentation in Upper Bodies
Eva Schnider
Antal Huck-Horváth
G. Rauter
A. Zam
M. Müller-Gerbl
Philippe C. Cattin
19
10
0
14 Oct 2020
Linear Mode Connectivity in Multitask and Continual Learning
Seyed Iman Mirzadeh
Mehrdad Farajtabar
Dilan Görür
Razvan Pascanu
H. Ghasemzadeh
CLL
31
138
0
09 Oct 2020
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning
Martin Mundt
Yongjun Hong
Iuliia Pliushch
Visvanathan Ramesh
CLL
30
146
0
03 Sep 2020
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
Sicheng Zhao
Xiangyu Yue
Shanghang Zhang
Bo-wen Li
Han Zhao
...
Ravi Krishna
Joseph E. Gonzalez
Alberto L. Sangiovanni-Vincentelli
S. Seshia
Kurt Keutzer
39
264
0
01 Sep 2020
Learning Adaptive Embedding Considering Incremental Class
Yang Yang
Zhensheng Sun
HengShu Zhu
Yanjie Fu
Hui Xiong
Jian Yang
CLL
16
40
0
31 Aug 2020
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference
Menelaos Kanakis
David Brüggemann
Suman Saha
Stamatios Georgoulis
Anton Obukhov
Luc Van Gool
CLL
30
72
0
24 Jul 2020
Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics
V. Ramasesh
Ethan Dyer
M. Raghu
CLL
24
173
0
14 Jul 2020
Automatic Recall Machines: Internal Replay, Continual Learning and the Brain
Xu Ji
Joao Henriques
Tinne Tuytelaars
Andrea Vedaldi
KELM
17
10
0
22 Jun 2020
3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning
Maureen van Eijnatten
L. Rundo
K. Batenburg
F. Lucka
E. Beddowes
C. Caldas
F. Gallagher
Evis Sala
Carola-Bibiane Schönlieb
Ramona Woitek
37
14
0
15 May 2020
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
Janghyeon Lee
H. Hong
Donggyu Joo
Junmo Kim
CLL
20
52
0
16 Apr 2020
iTAML: An Incremental Task-Agnostic Meta-learning Approach
Jathushan Rajasegaran
Salman Khan
Munawar Hayat
F. Khan
M. Shah
CLL
OOD
30
153
0
25 Mar 2020
Federated Continual Learning with Weighted Inter-client Transfer
Jaehong Yoon
Wonyoung Jeong
Giwoong Lee
Eunho Yang
Sung Ju Hwang
FedML
40
199
0
06 Mar 2020
Frosting Weights for Better Continual Training
Xiaofeng Zhu
Feng Liu
Goce Trajcevski
Dingding Wang
FedML
AI4CE
CLL
28
5
0
07 Jan 2020
Continual Learning Using Bayesian Neural Networks
Honglin Li
Payam Barnaghi
Shirin Enshaeifar
F. Ganz
BDL
11
38
0
09 Oct 2019
Spiking Neural Predictive Coding for Continual Learning from Data Streams
Alexander Ororbia
19
25
0
23 Aug 2019
Continual Learning by Asymmetric Loss Approximation with Single-Side Overestimation
Dongmin Park
Seokil Hong
Bohyung Han
Kyoung Mu Lee
AAML
CLL
21
39
0
08 Aug 2019
Overcoming Catastrophic Forgetting by Neuron-level Plasticity Control
Inyoung Paik
Sangjun Oh
Taeyeong Kwak
Injung Kim
CLL
29
49
0
31 Jul 2019
Efficient Multi-Domain Network Learning by Covariance Normalization
Yunsheng Li
Nuno Vasconcelos
OOD
22
32
0
24 Jun 2019
Variational Federated Multi-Task Learning
Luca Corinzia
Ami Beuret
J. M. Buhmann
FedML
27
159
0
14 Jun 2019
Uncertainty-guided Continual Learning with Bayesian Neural Networks
Sayna Ebrahimi
Mohamed Elhoseiny
Trevor Darrell
Marcus Rohrbach
CLL
BDL
21
195
0
06 Jun 2019
Uncertainty-based Continual Learning with Adaptive Regularization
Hongjoon Ahn
Sungmin Cha
Donggyu Lee
Taesup Moon
BDL
19
209
0
28 May 2019
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
Kibok Lee
Kimin Lee
Jinwoo Shin
Honglak Lee
CLL
29
201
0
29 Mar 2019
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
On Tiny Episodic Memories in Continual Learning
Arslan Chaudhry
Marcus Rohrbach
Mohamed Elhoseiny
Thalaiyasingam Ajanthan
P. Dokania
Philip H. S. Torr
MarcÁurelio Ranzato
CLL
29
389
0
27 Feb 2019
Task-Free Continual Learning
Rahaf Aljundi
Klaas Kelchtermans
Tinne Tuytelaars
CLL
21
354
0
10 Dec 2018
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference
Matthew D Riemer
Ignacio Cases
R. Ajemian
Miao Liu
Irina Rish
Y. Tu
Gerald Tesauro
CLL
22
765
0
29 Oct 2018
Continual Learning of Context-dependent Processing in Neural Networks
Guanxiong Zeng
Yang Chen
Bo Cui
Shan Yu
CLL
22
294
0
29 Sep 2018
DynMat, a network that can learn after learning
J. H. Lee
OffRL
19
5
0
16 Jun 2018
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