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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"
50 / 353 papers shown
Physical reservoir computing -- An introductory perspective
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Reducing catastrophic forgetting with learning on synthetic data
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295
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268
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Continual Learning with Extended Kronecker-factored Approximate Curvature
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216
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16 Apr 2020
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144
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07 Apr 2020
iTAML: An Incremental Task-Agnostic Meta-learning Approach
Computer Vision and Pattern Recognition (CVPR), 2020
Jathushan Rajasegaran
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
M. Shah
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OOD
249
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25 Mar 2020
Federated Continual Learning with Weighted Inter-client Transfer
International Conference on Machine Learning (ICML), 2020
Jaehong Yoon
Wonyoung Jeong
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Eunho Yang
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Cognitively-Inspired Model for Incremental Learning Using a Few Examples
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Alan Wagner
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168
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184
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103
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30 Jan 2020
Ternary Feature Masks: zero-forgetting for task-incremental learning
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Tinne Tuytelaars
Joost van de Weijer
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137
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Kaushik Roy
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269
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Frosting Weights for Better Continual Training
International Conference on Machine Learning and Applications (ICMLA), 2019
Xiaofeng Zhu
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Goce Trajcevski
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198
5
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07 Jan 2020
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Giang Nguyen
Shuan Chen
T. Do
Tae Joon Jun
Ho-Jin Choi
Daeyoung Kim
152
12
0
06 Jan 2020
Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic Consolidation
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Jian-wei Peng
Bo Tang
Jiang Hao
Zhuo Li
Yinjie Lei
Tao Lin
Haifeng Li
AAML
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166
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19 Dec 2019
Reducing Catastrophic Forgetting in Modular Neural Networks by Dynamic Information Balancing
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Tomás Maul
85
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10 Dec 2019
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Sunabha Chatterjee
Piyush Rai
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198
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08 Dec 2019
Regularization Shortcomings for Continual Learning
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Andrei Stoian
David Filliat
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282
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Hierarchical Indian Buffet Neural Networks for Bayesian Continual Learning
Conference on Uncertainty in Artificial Intelligence (UAI), 2019
Samuel Kessler
Vu Nguyen
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Stephen J. Roberts
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468
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04 Dec 2019
Overcoming Catastrophic Forgetting by Generative Regularization
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Peiqiu Chen
Wei Wei
Cho-Jui Hsieh
Bo Dai
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116
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03 Dec 2019
Continual Learning with Adaptive Weights (CLAW)
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T. Adel
Han Zhao
Richard Turner
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192
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21 Nov 2019
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156
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Orthogonal Gradient Descent for Continual Learning
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Mehrdad Farajtabar
Navid Azizan
Alex Mott
Ang Li
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671
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15 Oct 2019
Compacting, Picking and Growing for Unforgetting Continual Learning
Neural Information Processing Systems (NeurIPS), 2019
Steven C. Y. Hung
Cheng-Hao Tu
Cheng-En Wu
Chien-Hung Chen
Yi-Ming Chan
Chu-Song Chen
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362
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Learning to Remember from a Multi-Task Teacher
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Mengye Ren
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150
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10 Oct 2019
Continual Learning Using Bayesian Neural Networks
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
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Payam Barnaghi
Shirin Enshaeifar
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119
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09 Oct 2019
Continual Learning in Neural Networks
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195
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07 Oct 2019
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299
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18 Sep 2019
LAMOL: LAnguage MOdeling for Lifelong Language Learning
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Fan-Keng Sun
Cheng-Hao Ho
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268
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07 Sep 2019
Meta-Learning with Warped Gradient Descent
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Sebastian Flennerhag
Andrei A. Rusu
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Francesco Visin
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414
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30 Aug 2019
Learning Continually from Low-shot Data Stream
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103
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Spiking Neural Predictive Coding for Continual Learning from Data Streams
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452
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Continual Learning by Asymmetric Loss Approximation with Single-Side Overestimation
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Dongmin Park
Seokil Hong
Bohyung Han
Kyoung Mu Lee
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256
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Toward Understanding Catastrophic Forgetting in Continual Learning
Cuong V Nguyen
Alessandro Achille
Michael Lam
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Vijay Mahadevan
Stefano Soatto
241
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Overcoming Catastrophic Forgetting by Neuron-level Plasticity Control
AAAI Conference on Artificial Intelligence (AAAI), 2019
Inyoung Paik
Sangjun Oh
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157
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31 Jul 2019
Adaptive Compression-based Lifelong Learning
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Shivangi Srivastava
Maxim Berman
Matthew B. Blaschko
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157
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Incremental Concept Learning via Online Generative Memory Recall
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Huaiyu Li
Weiming Dong
Bao-Gang Hu
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122
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05 Jul 2019
NetTailor: Tuning the Architecture, Not Just the Weights
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Nuno Vasconcelos
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104
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29 Jun 2019
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges
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Vincenzo Lomonaco
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Davide Maltoni
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Natalia Díaz Rodríguez
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340
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Continual Rare-Class Recognition with Emerging Novel Subclasses
Hung T. Nguyen
Xuejian Wang
Leman Akoglu
140
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Efficient Multi-Domain Network Learning by Covariance Normalization
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Nuno Vasconcelos
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210
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Beneficial perturbation network for continual learning
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Laurent Itti
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82
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Ami Beuret
J. M. Buhmann
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293
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Meta-Learning Representations for Continual Learning
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Martha White
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269
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Uncertainty-based Continual Learning with Adaptive Regularization
Neural Information Processing Systems (NeurIPS), 2019
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Sungmin Cha
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446
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Single-Net Continual Learning with Progressive Segmented Training (PST)
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Gouranga Charan
Frank Liu
Yu Cao
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312
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Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting
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A. Mali
Daniel Kifer
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419
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25 May 2019
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