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Continual Learning with Deep Generative Replay
v1v2v3 (latest)

Continual Learning with Deep Generative Replay

24 May 2017
Hanul Shin
Jung Kwon Lee
Jaehong Kim
Jiwon Kim
    KELMCLL
ArXiv (abs)PDFHTML

Papers citing "Continual Learning with Deep Generative Replay"

50 / 1,228 papers shown
Title
Modeling the Background for Incremental Learning in Semantic
  Segmentation
Modeling the Background for Incremental Learning in Semantic SegmentationComputer Vision and Pattern Recognition (CVPR), 2020
Fabio Cermelli
Goran Frehse
Samuel Rota Buló
Elisa Ricci
Barbara Caputo
CLLVLM
229
333
0
03 Feb 2020
Adversarial Incremental Learning
Ankur Singh
CLL
103
1
0
30 Jan 2020
SPACE: Structured Compression and Sharing of Representational Space for
  Continual Learning
SPACE: Structured Compression and Sharing of Representational Space for Continual LearningIEEE Access (IEEE Access), 2020
Gobinda Saha
Isha Garg
Aayush Ankit
Kaushik Roy
CLL
237
25
0
23 Jan 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and
  Applications
A Review on Generative Adversarial Networks: Algorithms, Theory, and ApplicationsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
EGVM
262
1,005
0
20 Jan 2020
Frosting Weights for Better Continual Training
Frosting Weights for Better Continual TrainingInternational Conference on Machine Learning and Applications (ICMLA), 2019
Xiaofeng Zhu
Feng Liu
Goce Trajcevski
Dingding Wang
FedMLAI4CECLL
152
5
0
07 Jan 2020
Human Action Recognition and Assessment via Deep Neural Network
  Self-Organization
Human Action Recognition and Assessment via Deep Neural Network Self-Organization
G. I. Parisi
136
9
0
04 Jan 2020
A Neural Dirichlet Process Mixture Model for Task-Free Continual
  Learning
A Neural Dirichlet Process Mixture Model for Task-Free Continual LearningInternational Conference on Learning Representations (ICLR), 2020
Soochan Lee
Junsoo Ha
Dongsu Zhang
Gunhee Kim
BDLCLL
376
230
0
03 Jan 2020
On the Role of Weight Sharing During Deep Option Learning
On the Role of Weight Sharing During Deep Option LearningAAAI Conference on Artificial Intelligence (AAAI), 2019
Matthew D Riemer
Ignacio Cases
Clemens Rosenbaum
Miao Liu
Gerald Tesauro
OffRL
194
21
0
31 Dec 2019
DeGAN : Data-Enriching GAN for Retrieving Representative Samples from a
  Trained Classifier
DeGAN : Data-Enriching GAN for Retrieving Representative Samples from a Trained ClassifierAAAI Conference on Artificial Intelligence (AAAI), 2019
Sravanti Addepalli
Gaurav Kumar Nayak
Anirban Chakraborty
R. Venkatesh Babu
149
37
0
27 Dec 2019
Overcoming Long-term Catastrophic Forgetting through Adversarial Neural
  Pruning and Synaptic Consolidation
Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic ConsolidationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Jian-wei Peng
Bo Tang
Jiang Hao
Zhuo Li
Yinjie Lei
Tao Lin
Haifeng Li
AAMLCLL
118
40
0
19 Dec 2019
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversionComputer Vision and Pattern Recognition (CVPR), 2019
Hongxu Yin
Pavlo Molchanov
Zhizhong Li
J. Álvarez
Arun Mallya
Derek Hoiem
N. Jha
Jan Kautz
403
642
0
18 Dec 2019
Regularization Shortcomings for Continual Learning
Regularization Shortcomings for Continual Learning
Timothée Lesort
Andrei Stoian
David Filliat
CLL
250
50
0
06 Dec 2019
Overcoming Catastrophic Forgetting by Generative Regularization
Overcoming Catastrophic Forgetting by Generative RegularizationInternational Conference on Machine Learning (ICML), 2019
Peiqiu Chen
Wei Wei
Cho-Jui Hsieh
Bo Dai
CLL
92
17
0
03 Dec 2019
GRIm-RePR: Prioritising Generating Important Features for
  Pseudo-Rehearsal
GRIm-RePR: Prioritising Generating Important Features for Pseudo-Rehearsal
C. Atkinson
B. McCane
Lech Szymanski
Anthony Robins
87
0
0
27 Nov 2019
Continual Learning with Adaptive Weights (CLAW)
Continual Learning with Adaptive Weights (CLAW)International Conference on Learning Representations (ICLR), 2019
T. Adel
Han Zhao
Richard Turner
CLL
160
79
0
21 Nov 2019
Online Learned Continual Compression with Adaptive Quantization Modules
Online Learned Continual Compression with Adaptive Quantization Modules
Lucas Caccia
Eugene Belilovsky
Massimo Caccia
Joelle Pineau
234
5
0
19 Nov 2019
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems
  With Limited Data
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited DataACM Asia Conference on Computer and Communications Security (AsiaCCS), 2019
Xinyun Chen
Wenxiao Wang
Chris Bender
Yiming Ding
R. Jia
Yue Liu
Basel Alomair
AAML
199
112
0
17 Nov 2019
Maintaining Discrimination and Fairness in Class Incremental Learning
Maintaining Discrimination and Fairness in Class Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2019
Bowen Zhao
Xi Xiao
Guojun Gan
Bin Zhang
Shutao Xia
CLL
350
499
0
16 Nov 2019
OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong
  Deep Learning
OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep LearningIEEE International Conference on Robotics and Automation (ICRA), 2019
Qi She
Fan Feng
Xinyue Hao
Qihan Yang
Chuanlin Lan
...
Zhengwei Wang
Yao Guo
Yimin Zhang
Fei Qiao
Rosa H. M. Chan
VLM
293
82
0
15 Nov 2019
Learning from the Past: Continual Meta-Learning via Bayesian Graph
  Modeling
Learning from the Past: Continual Meta-Learning via Bayesian Graph ModelingAAAI Conference on Artificial Intelligence (AAAI), 2019
Yadan Luo
Zi Huang
Zheng Zhang
Ziwei Wang
Mahsa Baktashmotlagh
Yang Yang
CLLBDL
112
27
0
12 Nov 2019
Knowledge Distillation for Incremental Learning in Semantic Segmentation
Knowledge Distillation for Incremental Learning in Semantic SegmentationComputer Vision and Image Understanding (CVIU), 2019
Umberto Michieli
Pietro Zanuttigh
CLLVLM
275
107
0
08 Nov 2019
Learning to Answer by Learning to Ask: Getting the Best of GPT-2 and
  BERT Worlds
Learning to Answer by Learning to Ask: Getting the Best of GPT-2 and BERT Worlds
T. Klein
Moin Nabi
140
69
0
06 Nov 2019
Continual Unsupervised Representation Learning
Continual Unsupervised Representation LearningNeural Information Processing Systems (NeurIPS), 2019
Dushyant Rao
Francesco Visin
Andrei A. Rusu
Yee Whye Teh
Razvan Pascanu
R. Hadsell
BDLCLLSSLDRL
100
279
0
31 Oct 2019
Adversarial Feature Alignment: Avoid Catastrophic Forgetting in
  Incremental Task Lifelong Learning
Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong LearningNeural Computation (Neural Comput.), 2019
Hang Zhou
Ziwei Liu
Chenglei Wu
Ping Luo
Lifeng Sun
CLL
177
24
0
24 Oct 2019
Orthogonal Gradient Descent for Continual Learning
Orthogonal Gradient Descent for Continual LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Mehrdad Farajtabar
Navid Azizan
Alex Mott
Ang Li
CLL
616
436
0
15 Oct 2019
Compacting, Picking and Growing for Unforgetting Continual Learning
Compacting, Picking and Growing for Unforgetting Continual LearningNeural Information Processing Systems (NeurIPS), 2019
Steven C. Y. Hung
Cheng-Hao Tu
Cheng-En Wu
Chien-Hung Chen
Yi-Ming Chan
Chu-Song Chen
CLL
330
347
0
15 Oct 2019
Learning to Remember from a Multi-Task Teacher
Learning to Remember from a Multi-Task Teacher
Yuwen Xiong
Mengye Ren
R. Urtasun
CLLKELMOOD
150
4
0
10 Oct 2019
Continual Learning Using Bayesian Neural Networks
Continual Learning Using Bayesian Neural NetworksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Honglin Li
Payam Barnaghi
Shirin Enshaeifar
F. Ganz
BDL
107
45
0
09 Oct 2019
Continual Learning in Neural Networks
Continual Learning in Neural Networks
Rahaf Aljundi
CLL
171
42
0
07 Oct 2019
A continual learning survey: Defying forgetting in classification tasks
A continual learning survey: Defying forgetting in classification tasks
Matthias De Lange
Rahaf Aljundi
Marc Masana
Sarah Parisot
Xu Jia
A. Leonardis
Greg Slabaugh
Tinne Tuytelaars
CLLKELM
267
258
0
18 Sep 2019
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
152
44
0
09 Sep 2019
LAMOL: LAnguage MOdeling for Lifelong Language Learning
LAMOL: LAnguage MOdeling for Lifelong Language LearningInternational Conference on Learning Representations (ICLR), 2019
Fan-Keng Sun
Cheng-Hao Ho
Hung-yi Lee
CLLKELM
244
235
0
07 Sep 2019
BooVAE: Boosting Approach for Continual Learning of VAE
BooVAE: Boosting Approach for Continual Learning of VAENeural Information Processing Systems (NeurIPS), 2019
Anna Kuzina
Evgenii Egorov
Evgeny Burnaev
CLL
255
31
0
30 Aug 2019
Online Continual Learning with Maximally Interfered Retrieval
Online Continual Learning with Maximally Interfered Retrieval
Rahaf Aljundi
Lucas Caccia
Eugene Belilovsky
Massimo Caccia
Min Lin
Laurent Charlin
Tinne Tuytelaars
CLL
471
608
0
11 Aug 2019
Continual Learning by Asymmetric Loss Approximation with Single-Side
  Overestimation
Continual Learning by Asymmetric Loss Approximation with Single-Side OverestimationIEEE International Conference on Computer Vision (ICCV), 2019
Dongmin Park
Seokil Hong
Bohyung Han
Kyoung Mu Lee
AAMLCLL
244
44
0
08 Aug 2019
Toward Understanding Catastrophic Forgetting in Continual Learning
Toward Understanding Catastrophic Forgetting in Continual Learning
Cuong V Nguyen
Alessandro Achille
Michael Lam
Tal Hassner
Vijay Mahadevan
Stefano Soatto
213
108
0
02 Aug 2019
Continual Learning via Online Leverage Score Sampling
Continual Learning via Online Leverage Score Sampling
D. Teng
Sakyasingha Dasgupta
CLL
86
5
0
01 Aug 2019
Incremental Learning Techniques for Semantic Segmentation
Incremental Learning Techniques for Semantic Segmentation
Umberto Michieli
Pietro Zanuttigh
SSegCLLVLM
316
263
0
31 Jul 2019
Overcoming Catastrophic Forgetting by Neuron-level Plasticity Control
Overcoming Catastrophic Forgetting by Neuron-level Plasticity ControlAAAI Conference on Artificial Intelligence (AAAI), 2019
Inyoung Paik
Sangjun Oh
Taeyeong Kwak
Injung Kim
CLL
149
57
0
31 Jul 2019
DisCoRL: Continual Reinforcement Learning via Policy Distillation
DisCoRL: Continual Reinforcement Learning via Policy Distillation
Kalifou René Traoré
Hugo Caselles-Dupré
Timothée Lesort
Te Sun
Guanghang Cai
Natalia Díaz Rodríguez
David Filliat
OffRL
135
62
0
11 Jul 2019
Incremental Concept Learning via Online Generative Memory Recall
Incremental Concept Learning via Online Generative Memory RecallIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Huaiyu Li
Weiming Dong
Bao-Gang Hu
CLL
113
27
0
05 Jul 2019
Continual Learning for Robotics: Definition, Framework, Learning
  Strategies, Opportunities and Challenges
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and ChallengesInformation Fusion (Inf. Fusion), 2019
Timothée Lesort
Vincenzo Lomonaco
Andrei Stoian
Davide Maltoni
David Filliat
Natalia Díaz Rodríguez
CLL
304
282
0
29 Jun 2019
Continual Rare-Class Recognition with Emerging Novel Subclasses
Continual Rare-Class Recognition with Emerging Novel Subclasses
Hung T. Nguyen
Xuejian Wang
Leman Akoglu
136
3
0
28 Jun 2019
Task Agnostic Continual Learning via Meta Learning
Task Agnostic Continual Learning via Meta Learning
Xu He
Jakub Sygnowski
Alexandre Galashov
Andrei A. Rusu
Yee Whye Teh
Razvan Pascanu
OODCLLFedML
144
98
0
12 Jun 2019
Continual Reinforcement Learning deployed in Real-life using Policy
  Distillation and Sim2Real Transfer
Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer
Kalifou René Traoré
Hugo Caselles-Dupré
Timothée Lesort
Te Sun
Natalia Díaz Rodríguez
David Filliat
CLLOffRL
209
47
0
11 Jun 2019
Generative Continual Concept Learning
Generative Continual Concept LearningAAAI Conference on Artificial Intelligence (AAAI), 2019
Mohammad Rostami
Soheil Kolouri
J. McClelland
Praveen K. Pilly
CLLBDL
137
50
0
10 Jun 2019
Localizing Catastrophic Forgetting in Neural Networks
Localizing Catastrophic Forgetting in Neural Networks
Felix Wiewel
Binh Yang
85
13
0
06 Jun 2019
An Adaptive Random Path Selection Approach for Incremental Learning
An Adaptive Random Path Selection Approach for Incremental Learning
Jathushan Rajasegaran
Munawar Hayat
Salman Khan
Fahad Shahbaz Khan
Ling Shao
Ming-Hsuan Yang
ODLCLL
140
25
0
03 Jun 2019
Continual learning with hypernetworks
Continual learning with hypernetworksInternational Conference on Learning Representations (ICLR), 2019
J. Oswald
Christian Henning
Benjamin Grewe
João Sacramento
CLL
337
385
0
03 Jun 2019
Continual Learning of New Sound Classes using Generative Replay
Continual Learning of New Sound Classes using Generative ReplayIEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2019
Zhepei Wang
Y. C. Sübakan
Efthymios Tzinis
Paris Smaragdis
Laurent Charlin
VLM
197
27
0
03 Jun 2019
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