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Efficient Lifelong Learning with A-GEM

Efficient Lifelong Learning with A-GEM

2 December 2018
Arslan Chaudhry
MarcÁurelio Ranzato
Marcus Rohrbach
Mohamed Elhoseiny
    CLL
ArXivPDFHTML

Papers citing "Efficient Lifelong Learning with A-GEM"

50 / 875 papers shown
Title
Efficient Continual Learning with Modular Networks and Task-Driven
  Priors
Efficient Continual Learning with Modular Networks and Task-Driven Priors
Tom Véniat
Ludovic Denoyer
MarcÁurelio Ranzato
CLL
30
97
0
23 Dec 2020
IIRC: Incremental Implicitly-Refined Classification
IIRC: Incremental Implicitly-Refined Classification
Mohamed Abdelsalam
Mojtaba Faramarzi
Shagun Sodhani
A. Chandar
CLL
16
29
0
23 Dec 2020
Continual Lifelong Learning in Natural Language Processing: A Survey
Continual Lifelong Learning in Natural Language Processing: A Survey
Magdalena Biesialska
Katarzyna Biesialska
Marta R. Costa-jussá
KELM
CLL
18
216
0
17 Dec 2020
Class-incremental Learning with Rectified Feature-Graph Preservation
Class-incremental Learning with Rectified Feature-Graph Preservation
Cheng-Hsun Lei
Yi-Hsin
Wen-Hsiao Peng
Wei-Chen Chiu
CLL
30
4
0
15 Dec 2020
Variable-Shot Adaptation for Online Meta-Learning
Variable-Shot Adaptation for Online Meta-Learning
Tianhe Yu
Xinyang Geng
Chelsea Finn
Sergey Levine
CLL
OffRL
33
4
0
14 Dec 2020
Multi-Domain Multi-Task Rehearsal for Lifelong Learning
Multi-Domain Multi-Task Rehearsal for Lifelong Learning
Fan Lyu
Shuai Wang
Wei Feng
Zihan Ye
Fuyuan Hu
Song Wang
CLL
16
25
0
14 Dec 2020
Knowledge Capture and Replay for Continual Learning
Knowledge Capture and Replay for Continual Learning
Saisubramaniam Gopalakrishnan
Pranshu Ranjan Singh
Haytham M. Fayek
Savitha Ramasamy
Arulmurugan Ambikapathi
CLL
27
18
0
12 Dec 2020
Overcoming Catastrophic Forgetting in Graph Neural Networks
Overcoming Catastrophic Forgetting in Graph Neural Networks
Huihui Liu
Yiding Yang
Xinchao Wang
168
112
0
10 Dec 2020
Continual Adaptation of Visual Representations via Domain Randomization
  and Meta-learning
Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning
Riccardo Volpi
Diane Larlus
Grégory Rogez
VLM
OOD
CLL
22
74
0
08 Dec 2020
Overcoming Catastrophic Forgetting via Direction-Constrained
  Optimization
Overcoming Catastrophic Forgetting via Direction-Constrained Optimization
Yunfei Teng
A. Choromańska
Murray Campbell
Songtao Lu
Parikshit Ram
L. Horesh
CLL
32
2
0
25 Nov 2020
Energy-Based Models for Continual Learning
Energy-Based Models for Continual Learning
Shuang Li
Yilun Du
Gido M. van de Ven
Igor Mordatch
27
42
0
24 Nov 2020
PLOP: Learning without Forgetting for Continual Semantic Segmentation
PLOP: Learning without Forgetting for Continual Semantic Segmentation
Arthur Douillard
Yifu Chen
Arnaud Dapogny
Matthieu Cord
CLL
19
234
0
23 Nov 2020
Generalized Continual Zero-Shot Learning
Generalized Continual Zero-Shot Learning
C. Gautam
S. Parameswaran
Ashish Mishra
Suresh Sundaram
BDL
VLM
CLL
28
11
0
17 Nov 2020
Gradient Episodic Memory with a Soft Constraint for Continual Learning
Gradient Episodic Memory with a Soft Constraint for Continual Learning
Guannan Hu
Wu Zhang
Hu Ding
Wenhao Zhu
CLL
22
11
0
16 Nov 2020
Modular-Relatedness for Continual Learning
Ammar Shaker
Shujian Yu
Francesco Alesiani
KELM
CLL
6
2
0
02 Nov 2020
Bilevel Continual Learning
Bilevel Continual Learning
Ammar Shaker
Francesco Alesiani
Shujian Yu
Wenzhe Yin
CLL
22
0
0
02 Nov 2020
Class-incremental learning: survey and performance evaluation on image
  classification
Class-incremental learning: survey and performance evaluation on image classification
Marc Masana
Xialei Liu
Bartlomiej Twardowski
Mikel Menta
Andrew D. Bagdanov
Joost van de Weijer
CLL
37
666
0
28 Oct 2020
Continual Learning in Low-rank Orthogonal Subspaces
Continual Learning in Low-rank Orthogonal Subspaces
Arslan Chaudhry
Naeemullah Khan
P. Dokania
Philip Torr
CLL
33
115
0
22 Oct 2020
Online Structured Meta-learning
Online Structured Meta-learning
Huaxiu Yao
Yingbo Zhou
M. Mahdavi
Z. Li
R. Socher
Caiming Xiong
44
28
0
22 Oct 2020
Class-incremental Learning with Pre-allocated Fixed Classifiers
Class-incremental Learning with Pre-allocated Fixed Classifiers
F. Pernici
Matteo Bruni
C. Baecchi
F. Turchini
A. Bimbo
CLL
28
37
0
16 Oct 2020
Rethinking Experience Replay: a Bag of Tricks for Continual Learning
Rethinking Experience Replay: a Bag of Tricks for Continual Learning
Pietro Buzzega
Matteo Boschini
Angelo Porrello
Simone Calderara
CLL
14
146
0
12 Oct 2020
Adaptive Aggregation Networks for Class-Incremental Learning
Adaptive Aggregation Networks for Class-Incremental Learning
Yaoyao Liu
Bernt Schiele
Qianru Sun
CLL
21
215
0
10 Oct 2020
Linear Mode Connectivity in Multitask and Continual Learning
Linear Mode Connectivity in Multitask and Continual Learning
Seyed Iman Mirzadeh
Mehrdad Farajtabar
Dilan Görür
Razvan Pascanu
H. Ghasemzadeh
CLL
37
139
0
09 Oct 2020
A Theoretical Analysis of Catastrophic Forgetting through the NTK
  Overlap Matrix
A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix
T. Doan
Mehdi Abbana Bennani
Bogdan Mazoure
Guillaume Rabusseau
Pierre Alquier
CLL
20
80
0
07 Oct 2020
Disentangle-based Continual Graph Representation Learning
Disentangle-based Continual Graph Representation Learning
Xiaoyu Kou
Yankai Lin
Shaobo Liu
Peng Li
Jie Zhou
Yan Zhang
CLL
10
32
0
06 Oct 2020
Efficient Meta Lifelong-Learning with Limited Memory
Efficient Meta Lifelong-Learning with Limited Memory
Zirui Wang
Sanket Vaibhav Mehta
Barnabás Póczós
J. Carbonell
CLL
KELM
19
74
0
06 Oct 2020
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
24
38
0
06 Oct 2020
Remembering for the Right Reasons: Explanations Reduce Catastrophic
  Forgetting
Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting
Sayna Ebrahimi
Suzanne Petryk
Akash Gokul
William Gan
Joseph E. Gonzalez
Marcus Rohrbach
Trevor Darrell
CLL
37
45
0
04 Oct 2020
Meta-Consolidation for Continual Learning
Meta-Consolidation for Continual Learning
K. J. Joseph
V. Balasubramanian
CLL
22
55
0
01 Oct 2020
Continual Model-Based Reinforcement Learning with Hypernetworks
Continual Model-Based Reinforcement Learning with Hypernetworks
Yizhou Huang
Kevin Xie
Homanga Bharadhwaj
Florian Shkurti
CLL
22
46
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
Andrea Passerini
CLL
SSL
33
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 Learning
Li Yang
Zhezhi He
Junshan Zhang
Deliang Fan
AAML
CLL
10
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
53
609
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
KELM
CLL
22
21
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
27
14
0
09 Sep 2020
Imbalanced Continual Learning with Partitioning Reservoir Sampling
Imbalanced Continual Learning with Partitioning Reservoir Sampling
C. Kim
Jinseo Jeong
Gunhee Kim
CLL
27
101
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
21
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 Learning
Martin Mundt
Yongjun Hong
Iuliia Pliushch
Visvanathan Ramesh
CLL
30
146
0
03 Sep 2020
A Survey on Negative Transfer
A Survey on Negative Transfer
Wen Zhang
Lingfei Deng
Lei Zhang
Dongrui Wu
AAML
32
208
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
13
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
31
5
0
31 Aug 2020
RODEO: Replay for Online Object Detection
RODEO: Replay for Online Object Detection
Manoj Acharya
Tyler L. Hayes
Christopher Kanan
ObjD
CLL
34
46
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
Fei Wu
Xi Li
CLL
VLM
19
72
0
04 Aug 2020
Bilevel Continual Learning
Bilevel Continual Learning
Quang Pham
Doyen Sahoo
Chenghao Liu
Guosheng Lin
CLL
33
11
0
30 Jul 2020
La-MAML: Look-ahead Meta Learning for Continual Learning
La-MAML: Look-ahead Meta Learning for Continual Learning
Gunshi Gupta
Karmesh Yadav
Liam Paull
CLL
VLM
27
68
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 Language
Hexiang Hu
Ozan Sener
Fei Sha
V. Koltun
CLL
35
27
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
VLM
CLL
15
15
0
11 Jul 2020
Graph-Based Continual Learning
Graph-Based Continual Learning
Binh Tang
David S. Matteson
BDL
CLL
29
37
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
20
15
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
29
22
0
01 Jul 2020
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