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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 / 696 papers shown
Title
Contrastive Continual Learning with Feature Propagation
Contrastive Continual Learning with Feature Propagation
Xuejun Han
Yuhong Guo
CLL
26
4
0
03 Dec 2021
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion
Arthur Douillard
Alexandre Ramé
Guillaume Couairon
Matthieu Cord
CLL
30
295
0
22 Nov 2021
Kronecker Factorization for Preventing Catastrophic Forgetting in
  Large-scale Medical Entity Linking
Kronecker Factorization for Preventing Catastrophic Forgetting in Large-scale Medical Entity Linking
Denis Jered McInerney
Luyang Kong
Kristjan Arumae
Byron C. Wallace
Parminder Bhatia
CLL
24
1
0
11 Nov 2021
One Pass ImageNet
One Pass ImageNet
Huiyi Hu
Ang Li
Daniele Calandriello
Dilan Görür
VLM
13
18
0
03 Nov 2021
HCV: Hierarchy-Consistency Verification for Incremental
  Implicitly-Refined Classification
HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification
Kai Wang
Xialei Liu
Luis Herranz
Joost van de Weijer
CLL
27
4
0
21 Oct 2021
Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via
  Bayesian Deep Learning
Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning
Taimur Hassan
Bilal Hassan
M. Akram
Shahrukh K Hashmi
A. Taguri
Naoufel Werghi
OOD
44
17
0
18 Oct 2021
Towards Better Plasticity-Stability Trade-off in Incremental Learning: A
  Simple Linear Connector
Towards Better Plasticity-Stability Trade-off in Incremental Learning: A Simple Linear Connector
Guoliang Lin
Hanlu Chu
Hanjiang Lai
MoMe
CLL
29
44
0
15 Oct 2021
Continual Learning on Noisy Data Streams via Self-Purified Replay
Continual Learning on Noisy Data Streams via Self-Purified Replay
C. Kim
Jinseo Jeong
Sang-chul Moon
Gunhee Kim
CLL
40
39
0
14 Oct 2021
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based
  on Prompt Tuning of T5
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5
Chengwei Qin
Chenyu You
CLL
178
98
0
14 Oct 2021
Representational Continuity for Unsupervised Continual Learning
Representational Continuity for Unsupervised Continual Learning
Divyam Madaan
Jaehong Yoon
Yuanchun Li
Yunxin Liu
Sung Ju Hwang
CLL
SSL
66
112
0
13 Oct 2021
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning
  via Sparse Networks
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks
Ghada Sokar
Decebal Constantin Mocanu
Mykola Pechenizkiy
CLL
35
8
0
11 Oct 2021
CLEVA-Compass: A Continual Learning EValuation Assessment Compass to
  Promote Research Transparency and Comparability
CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability
Martin Mundt
Steven Braun
Quentin Delfosse
Kristian Kersting
27
35
0
07 Oct 2021
Objects in Semantic Topology
Objects in Semantic Topology
Shuo Yang
Pei Sun
Yi-Xin Jiang
Xiaobo Xia
Ruiheng Zhang
Zehuan Yuan
Changhu Wang
Ping Luo
Min Xu
ObjD
89
29
0
06 Oct 2021
Hypernetworks for Continual Semi-Supervised Learning
Hypernetworks for Continual Semi-Supervised Learning
Dhanajit Brahma
Vinay Kumar Verma
Piyush Rai
BDL
CLL
30
12
0
05 Oct 2021
Powerpropagation: A sparsity inducing weight reparameterisation
Powerpropagation: A sparsity inducing weight reparameterisation
Jonathan Richard Schwarz
Siddhant M. Jayakumar
Razvan Pascanu
P. Latham
Yee Whye Teh
92
54
0
01 Oct 2021
DualNet: Continual Learning, Fast and Slow
DualNet: Continual Learning, Fast and Slow
Quang-Cuong Pham
Chenghao Liu
Guosheng Lin
CLL
71
43
0
01 Oct 2021
Recent Advances of Continual Learning in Computer Vision: An Overview
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
SLAW: Scaled Loss Approximate Weighting for Efficient Multi-Task
  Learning
SLAW: Scaled Loss Approximate Weighting for Efficient Multi-Task Learning
M. Crawshaw
Jana Kosecka
26
7
0
16 Sep 2021
Life-Long Multi-Task Learning of Adaptive Path Tracking Policy for
  Autonomous Vehicle
Life-Long Multi-Task Learning of Adaptive Path Tracking Policy for Autonomous Vehicle
Cheng Gong
Jian-wei Gong
Chao Lu
Zhe Liu
Zirui Li
30
0
0
15 Sep 2021
Saliency Guided Experience Packing for Replay in Continual Learning
Saliency Guided Experience Packing for Replay in Continual Learning
Gobinda Saha
Kaushik Roy
VLM
KELM
CLL
94
22
0
10 Sep 2021
Complementary Calibration: Boosting General Continual Learning with
  Collaborative Distillation and Self-Supervision
Complementary Calibration: Boosting General Continual Learning with Collaborative Distillation and Self-Supervision
Zhong Ji
Jin Li
Qiang Wang
Zhongfei Zhang
CLL
25
18
0
03 Sep 2021
Prototype-Guided Memory Replay for Continual Learning
Prototype-Guided Memory Replay for Continual Learning
Stella Ho
Ming Liu
Lan Du
Longxiang Gao
Yong Xiang
CLL
8
30
0
28 Aug 2021
Auxiliary Task Update Decomposition: The Good, The Bad and The Neutral
Auxiliary Task Update Decomposition: The Good, The Bad and The Neutral
Lucio Dery
Yann N. Dauphin
David Grangier
MoMe
18
29
0
25 Aug 2021
Principal Gradient Direction and Confidence Reservoir Sampling for
  Continual Learning
Principal Gradient Direction and Confidence Reservoir Sampling for Continual Learning
Zhiyi Chen
Tong Lin
CLL
23
1
0
21 Aug 2021
Online Continual Learning with Natural Distribution Shifts: An Empirical
  Study with Visual Data
Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data
Zhipeng Cai
Ozan Sener
V. Koltun
CLL
33
83
0
20 Aug 2021
An Investigation of Replay-based Approaches for Continual Learning
An Investigation of Replay-based Approaches for Continual Learning
Benedikt Bagus
A. Gepperth
CLL
33
33
0
15 Aug 2021
Continual Semi-Supervised Learning through Contrastive Interpolation
  Consistency
Continual Semi-Supervised Learning through Contrastive Interpolation Consistency
Matteo Boschini
Pietro Buzzega
Lorenzo Bonicelli
Angelo Porrello
Simone Calderara
CLL
35
40
0
14 Aug 2021
Continual Neural Mapping: Learning An Implicit Scene Representation from
  Sequential Observations
Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations
Zike Yan
Yuxin Tian
Xuesong Shi
Ping Guo
Peng Wang
H. Zha
CLL
19
45
0
12 Aug 2021
Lifelong Mixture of Variational Autoencoders
Lifelong Mixture of Variational Autoencoders
Fei Ye
A. Bors
DRL
16
27
0
09 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real
  world: aligning domain-agnostic and domain-specific research
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research
J. Luis
E. Crawley
B. Cameron
OffRL
25
6
0
07 Jul 2021
Co$^2$L: Contrastive Continual Learning
Co2^22L: Contrastive Continual Learning
Hyuntak Cha
Jaeho Lee
Jinwoo Shin
CLL
SSL
VLM
60
291
0
28 Jun 2021
Task-agnostic Continual Learning with Hybrid Probabilistic Models
Task-agnostic Continual Learning with Hybrid Probabilistic Models
Polina Kirichenko
Mehrdad Farajtabar
Dushyant Rao
Balaji Lakshminarayanan
Nir Levine
Ang Li
Huiyi Hu
A. Wilson
Razvan Pascanu
VLM
BDL
CLL
27
19
0
24 Jun 2021
Always Be Dreaming: A New Approach for Data-Free Class-Incremental
  Learning
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning
James Smith
Yen-Chang Hsu
John C. Balloch
Yilin Shen
Hongxia Jin
Z. Kira
CLL
60
161
0
17 Jun 2021
SPeCiaL: Self-Supervised Pretraining for Continual Learning
SPeCiaL: Self-Supervised Pretraining for Continual Learning
Lucas Caccia
Joelle Pineau
CLL
SSL
24
18
0
16 Jun 2021
Invariant Information Bottleneck for Domain Generalization
Invariant Information Bottleneck for Domain Generalization
Bo-wen Li
Yifei Shen
Yezhen Wang
Wenzhen Zhu
Colorado Reed
Jun Zhang
Dongsheng Li
Kurt Keutzer
Han Zhao
OOD
32
105
0
11 Jun 2021
Continual World: A Robotic Benchmark For Continual Reinforcement
  Learning
Continual World: A Robotic Benchmark For Continual Reinforcement Learning
Maciej Wołczyk
Michal Zajkac
Razvan Pascanu
Lukasz Kuciñski
Piotr Milo's
CLL
OffRL
12
89
0
23 May 2021
Schematic Memory Persistence and Transience for Efficient and Robust
  Continual Learning
Schematic Memory Persistence and Transience for Efficient and Robust Continual Learning
Yuyang Gao
Giorgio Ascoli
Liang Zhao
27
4
0
05 May 2021
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned
  Generation
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation
Mengyao Zhai
Lei Chen
Jiawei He
Megha Nawhal
Frederick Tung
Greg Mori
CLL
38
27
0
24 Apr 2021
Continual Learning in Sensor-based Human Activity Recognition: an
  Empirical Benchmark Analysis
Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis
Saurav Jha
Martin Schiemer
F. Zambonelli
Juan Ye
23
48
0
19 Apr 2021
Overcoming Catastrophic Forgetting with Gaussian Mixture Replay
Overcoming Catastrophic Forgetting with Gaussian Mixture Replay
Benedikt Pfülb
A. Gepperth
VLM
BDL
24
12
0
19 Apr 2021
Continual Learning for Text Classification with Information
  Disentanglement Based Regularization
Continual Learning for Text Classification with Information Disentanglement Based Regularization
Yufan Huang
Yanzhe Zhang
Jiaao Chen
Xuezhi Wang
Diyi Yang
CLL
26
106
0
12 Apr 2021
New Insights on Reducing Abrupt Representation Change in Online
  Continual Learning
New Insights on Reducing Abrupt Representation Change in Online Continual Learning
Lucas Caccia
Rahaf Aljundi
Nader Asadi
Tinne Tuytelaars
Joelle Pineau
Eugene Belilovsky
CLL
21
186
0
11 Apr 2021
Understanding Continual Learning Settings with Data Distribution Drift
  Analysis
Understanding Continual Learning Settings with Data Distribution Drift Analysis
Timothée Lesort
Massimo Caccia
Irina Rish
25
55
0
04 Apr 2021
Replay in Deep Learning: Current Approaches and Missing Biological
  Elements
Replay in Deep Learning: Current Approaches and Missing Biological Elements
Tyler L. Hayes
G. Krishnan
M. Bazhenov
H. Siegelmann
T. Sejnowski
Christopher Kanan
CLL
38
130
0
01 Apr 2021
Avalanche: an End-to-End Library for Continual Learning
Avalanche: an End-to-End Library for Continual Learning
Vincenzo Lomonaco
Lorenzo Pellegrini
Andrea Cossu
Antonio Carta
G. Graffieti
...
Christopher Kanan
Joost van de Weijer
Tinne Tuytelaars
D. Bacciu
Davide Maltoni
BDL
AI4TS
30
181
0
01 Apr 2021
Distilled Replay: Overcoming Forgetting through Synthetic Samples
Distilled Replay: Overcoming Forgetting through Synthetic Samples
Andrea Rosasco
Antonio Carta
Andrea Cossu
Vincenzo Lomonaco
D. Bacciu
DD
24
47
0
29 Mar 2021
Supervised Contrastive Replay: Revisiting the Nearest Class Mean
  Classifier in Online Class-Incremental Continual Learning
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
37
181
0
22 Mar 2021
Gradient Projection Memory for Continual Learning
Gradient Projection Memory for Continual Learning
Gobinda Saha
Isha Garg
Kaushik Roy
VLM
CLL
47
267
0
17 Mar 2021
Continual Learning for Recurrent Neural Networks: an Empirical
  Evaluation
Continual Learning for Recurrent Neural Networks: an Empirical Evaluation
Andrea Cossu
Antonio Carta
Vincenzo Lomonaco
D. Bacciu
CLL
36
107
0
12 Mar 2021
Training Networks in Null Space of Feature Covariance for Continual
  Learning
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
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