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Efficient Lifelong Learning with A-GEM
v1v2 (latest)

Efficient Lifelong Learning with A-GEM

2 December 2018
Arslan Chaudhry
MarcÁurelio Ranzato
Marcus Rohrbach
Mohamed Elhoseiny
    CLL
ArXiv (abs)PDFHTML

Papers citing "Efficient Lifelong Learning with A-GEM"

50 / 949 papers shown
The Effectiveness of Memory Replay in Large Scale Continual Learning
The Effectiveness of Memory Replay in Large Scale Continual Learning
Yogesh Balaji
Mehrdad Farajtabar
Dong Yin
Alex Mott
Ang Li
185
42
0
06 Oct 2020
Remembering for the Right Reasons: Explanations Reduce Catastrophic
  Forgetting
Remembering for the Right Reasons: Explanations Reduce Catastrophic ForgettingInternational Conference on Learning Representations (ICLR), 2020
Sayna Ebrahimi
Suzanne Petryk
Akash Gokul
William Gan
Joseph E. Gonzalez
Marcus Rohrbach
Trevor Darrell
CLL
218
51
0
04 Oct 2020
Meta-Consolidation for Continual Learning
Meta-Consolidation for Continual LearningNeural Information Processing Systems (NeurIPS), 2020
K. J. Joseph
V. Balasubramanian
CLL
164
59
0
01 Oct 2020
Continual Model-Based Reinforcement Learning with Hypernetworks
Continual Model-Based Reinforcement Learning with HypernetworksIEEE International Conference on Robotics and Automation (ICRA), 2020
Yizhou Huang
Kevin Xie
Homanga Bharadhwaj
Florian Shkurti
CLL
174
61
0
25 Sep 2020
Few-Shot Unsupervised Continual Learning through Meta-Examples
Few-Shot Unsupervised Continual Learning through Meta-Examples
Alessia Bertugli
Stefano Vincenzi
Simone Calderara
Baptiste Caramiaux
CLLSSL
226
8
0
17 Sep 2020
KSM: Fast Multiple Task Adaption via Kernel-wise Soft Mask Learning
KSM: Fast Multiple Task Adaption via Kernel-wise Soft Mask LearningComputer Vision and Pattern Recognition (CVPR), 2020
Li Yang
Zhezhi He
Junshan Zhang
Deliang Fan
AAMLCLL
187
13
0
11 Sep 2020
Multi-Task Learning with Deep Neural Networks: A Survey
Multi-Task Learning with Deep Neural Networks: A Survey
M. Crawshaw
CVBM
438
717
0
10 Sep 2020
Meta-Learning with Sparse Experience Replay for Lifelong Language
  Learning
Meta-Learning with Sparse Experience Replay for Lifelong Language Learning
Nithin Holla
Pushkar Mishra
H. Yannakoudakis
Ekaterina Shutova
KELMCLL
210
22
0
10 Sep 2020
Routing Networks with Co-training for Continual Learning
Routing Networks with Co-training for Continual Learning
Mark Collier
Efi Kokiopoulou
Andrea Gesmundo
Jesse Berent
CLL
179
15
0
09 Sep 2020
Imbalanced Continual Learning with Partitioning Reservoir Sampling
Imbalanced Continual Learning with Partitioning Reservoir SamplingEuropean Conference on Computer Vision (ECCV), 2020
C. Kim
Jinseo Jeong
Gunhee Kim
CLL
293
121
0
08 Sep 2020
Compression-aware Continual Learning using Singular Value Decomposition
Compression-aware Continual Learning using Singular Value Decomposition
Varigonda Pavan Teja
Priyadarshini Panda
CLL
144
0
0
03 Sep 2020
A Wholistic View of Continual Learning with Deep Neural Networks:
  Forgotten Lessons and the Bridge to Active and Open World Learning
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World LearningNeural Networks (NN), 2020
Martin Mundt
Yongjun Hong
Iuliia Pliushch
Visvanathan Ramesh
CLL
383
172
0
03 Sep 2020
A Survey on Negative Transfer
A Survey on Negative TransferIEEE/CAA Journal of Automatica Sinica (JCAS), 2020
Wen Zhang
Lingfei Deng
Lei Zhang
Dongrui Wu
AAML
441
304
0
02 Sep 2020
Online Class-Incremental Continual Learning with Adversarial Shapley
  Value
Online Class-Incremental Continual Learning with Adversarial Shapley Value
Dongsub Shim
Zheda Mai
Jihwan Jeong
Scott Sanner
Hyunwoo J. Kim
Jongseong Jang
CLL
356
6
0
31 Aug 2020
iLGaCo: Incremental Learning of Gait Covariate Factors
iLGaCo: Incremental Learning of Gait Covariate Factors
Zihao Mu
F. M. Castro
M. Marín-Jiménez
Nicolás Guil Mata
Yan-Ran Li
Shiqi Yu
138
6
0
31 Aug 2020
RODEO: Replay for Online Object Detection
RODEO: Replay for Online Object Detection
Manoj Acharya
Tyler L. Hayes
Christopher Kanan
ObjDCLL
154
49
0
14 Aug 2020
Memory Efficient Class-Incremental Learning for Image Classification
Memory Efficient Class-Incremental Learning for Image Classification
Hanbin Zhao
Haibo Wang
Yongjian Fu
Leilei Gan
Xi Li
CLLVLM
263
98
0
04 Aug 2020
Bilevel Continual Learning
Bilevel Continual Learning
Quang Pham
Doyen Sahoo
Chenghao Liu
Guosheng Lin
CLL
123
12
0
30 Jul 2020
La-MAML: Look-ahead Meta Learning for Continual Learning
La-MAML: Look-ahead Meta Learning for Continual LearningNeural Information Processing Systems (NeurIPS), 2020
Gunshi Gupta
Karmesh Yadav
Liam Paull
CLLVLM
279
80
0
27 Jul 2020
Drinking from a Firehose: Continual Learning with Web-scale Natural
  Language
Drinking from a Firehose: Continual Learning with Web-scale Natural LanguageIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Hexiang Hu
Ozan Sener
Fei Sha
V. Koltun
CLL
221
28
0
18 Jul 2020
Batch-level Experience Replay with Review for Continual Learning
Batch-level Experience Replay with Review for Continual Learning
Zheda Mai
Hyunwoo J. Kim
Jihwan Jeong
Scott Sanner
VLMCLL
113
18
0
11 Jul 2020
Graph-Based Continual Learning
Graph-Based Continual LearningInternational Conference on Learning Representations (ICLR), 2020
Binh Tang
David S. Matteson
BDLCLL
213
40
0
09 Jul 2020
Pseudo-Rehearsal for Continual Learning with Normalizing Flows
Pseudo-Rehearsal for Continual Learning with Normalizing Flows
Jary Pomponi
Simone Scardapane
A. Uncini
254
16
0
05 Jul 2020
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural
  Networks with Replay Processes
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes
Timothée Lesort
CLL
361
23
0
01 Jul 2020
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot
  Class-Incremental Learning
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning
Hanbin Zhao
Yongjian Fu
Mintong Kang
Qi Tian
Leilei Gan
Xi Li
CLL
487
135
0
28 Jun 2020
Gradient-based Editing of Memory Examples for Online Task-free Continual
  Learning
Gradient-based Editing of Memory Examples for Online Task-free Continual Learning
Xisen Jin
Arka Sadhu
Junyi Du
Xiang Ren
CLLKELMBDL
305
112
0
27 Jun 2020
Supermasks in Superposition
Supermasks in Superposition
Mitchell Wortsman
Vivek Ramanujan
Rosanne Liu
Aniruddha Kembhavi
Mohammad Rastegari
J. Yosinski
Ali Farhadi
SSLCLL
530
329
0
26 Jun 2020
Insights from the Future for Continual Learning
Insights from the Future for Continual Learning
Arthur Douillard
Eduardo Valle
Charles Ollion
Thomas Robert
Matthieu Cord
VLMCLL
227
12
0
24 Jun 2020
Automatic Recall Machines: Internal Replay, Continual Learning and the
  Brain
Automatic Recall Machines: Internal Replay, Continual Learning and the Brain
Xu Ji
Joao Henriques
Tinne Tuytelaars
Andrea Vedaldi
KELM
232
11
0
22 Jun 2020
Generalisation Guarantees for Continual Learning with Orthogonal
  Gradient Descent
Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent
Mehdi Abbana Bennani
Thang Doan
Masashi Sugiyama
CLL
414
70
0
21 Jun 2020
Class Normalization for (Continual)? Generalized Zero-Shot Learning
Class Normalization for (Continual)? Generalized Zero-Shot Learning
Ivan Skorokhodov
Mohamed Elhoseiny
VLM
232
5
0
19 Jun 2020
Semi-Discriminative Representation Loss for Online Continual Learning
Semi-Discriminative Representation Loss for Online Continual Learning
Yu Chen
Tom Diethe
Peter A. Flach
CLL
214
0
0
19 Jun 2020
Optimization and Generalization of Regularization-Based Continual
  Learning: a Loss Approximation Viewpoint
Optimization and Generalization of Regularization-Based Continual Learning: a Loss Approximation Viewpoint
Dong Yin
Mehrdad Farajtabar
Ang Li
Nir Levine
Alex Mott
CLL
203
22
0
19 Jun 2020
BI-MAML: Balanced Incremental Approach for Meta Learning
BI-MAML: Balanced Incremental Approach for Meta Learning
Yang Zheng
Jinlin Xiang
Kun Su
Eli Shlizerman
CLL
111
11
0
12 Jun 2020
Understanding the Role of Training Regimes in Continual Learning
Understanding the Role of Training Regimes in Continual LearningNeural Information Processing Systems (NeurIPS), 2020
Seyed Iman Mirzadeh
Mehrdad Farajtabar
Razvan Pascanu
H. Ghasemzadeh
CLL
247
263
0
12 Jun 2020
Unifying Regularisation Methods for Continual Learning
Unifying Regularisation Methods for Continual Learning
Frederik Benzing
CLL
163
9
0
11 Jun 2020
Multi-Task Learning in Histo-pathology for Widely Generalizable Model
Multi-Task Learning in Histo-pathology for Widely Generalizable Model
Jevgenij Gamper
Navid Alemi Koohbanani
Nasir M. Rajpoot
140
7
0
09 May 2020
Continual Deep Learning by Functional Regularisation of Memorable Past
Continual Deep Learning by Functional Regularisation of Memorable PastNeural Information Processing Systems (NeurIPS), 2020
Pingbo Pan
S. Swaroop
Alexander Immer
Runa Eschenhagen
Richard Turner
Mohammad Emtiyaz Khan
KELMCLL
349
163
0
29 Apr 2020
Dropout as an Implicit Gating Mechanism For Continual Learning
Dropout as an Implicit Gating Mechanism For Continual Learning
Seyed Iman Mirzadeh
Mehrdad Farajtabar
H. Ghasemzadeh
CLL
150
45
0
24 Apr 2020
Few-Shot Class-Incremental Learning
Few-Shot Class-Incremental Learning
Xiaoyu Tao
Xiaopeng Hong
Xinyuan Chang
Songlin Dong
Xing Wei
Yihong Gong
CLL
268
496
0
23 Apr 2020
CLOPS: Continual Learning of Physiological Signals
CLOPS: Continual Learning of Physiological Signals
Dani Kiyasseh
T. Zhu
David Clifton
189
7
0
20 Apr 2020
Generative Feature Replay For Class-Incremental Learning
Generative Feature Replay For Class-Incremental Learning
Xialei Liu
Chenshen Wu
Mikel Menta
Luis Herranz
Bogdan Raducanu
Andrew D. Bagdanov
Shangling Jui
Joost van de Weijer
CLL
210
172
0
20 Apr 2020
Dark Experience for General Continual Learning: a Strong, Simple
  Baseline
Dark Experience for General Continual Learning: a Strong, Simple BaselineNeural Information Processing Systems (NeurIPS), 2020
Pietro Buzzega
Matteo Boschini
Angelo Porrello
Davide Abati
Simone Calderara
BDLCLL
395
1,131
0
15 Apr 2020
Conditional Channel Gated Networks for Task-Aware Continual Learning
Conditional Channel Gated Networks for Task-Aware Continual LearningComputer Vision and Pattern Recognition (CVPR), 2020
Davide Abati
Jakub M. Tomczak
Tijmen Blankevoort
Simone Calderara
Rita Cucchiara
B. Bejnordi
CLL
251
199
0
31 Mar 2020
SS-IL: Separated Softmax for Incremental Learning
SS-IL: Separated Softmax for Incremental LearningIEEE International Conference on Computer Vision (ICCV), 2020
Hongjoon Ahn
Jihwan Kwak
S. Lim
Hyeonsu Bang
Hyojun Kim
Taesup Moon
CLL
420
202
0
31 Mar 2020
iTAML: An Incremental Task-Agnostic Meta-learning Approach
iTAML: An Incremental Task-Agnostic Meta-learning ApproachComputer Vision and Pattern Recognition (CVPR), 2020
Jathushan Rajasegaran
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
M. Shah
CLLOOD
243
167
0
25 Mar 2020
Adversarial Continual Learning
Adversarial Continual LearningEuropean Conference on Computer Vision (ECCV), 2020
Sayna Ebrahimi
Franziska Meier
Roberto Calandra
Trevor Darrell
Marcus Rohrbach
CLLVLM
412
220
0
21 Mar 2020
Incremental Object Detection via Meta-Learning
Incremental Object Detection via Meta-LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
K. J. Joseph
Jathushan Rajasegaran
Salman Khan
Fahad Shahbaz Khan
V. Balasubramanian
ObjDCLLVLM
387
119
0
17 Mar 2020
Online Fast Adaptation and Knowledge Accumulation: a New Approach to
  Continual Learning
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning
Massimo Caccia
Pau Rodríguez López
O. Ostapenko
Fabrice Normandin
Min Lin
...
I. Laradji
Irina Rish
Alexande Lacoste
David Vazquez
Laurent Charlin
CLLKELM
303
68
0
12 Mar 2020
Federated Continual Learning with Weighted Inter-client Transfer
Federated Continual Learning with Weighted Inter-client TransferInternational Conference on Machine Learning (ICML), 2020
Jaehong Yoon
Wonyoung Jeong
Giwoong Lee
Eunho Yang
Sung Ju Hwang
FedML
565
272
0
06 Mar 2020
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