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Gradient Episodic Memory for Continual Learning
v1v2v3v4v5v6 (latest)

Gradient Episodic Memory for Continual Learning

26 June 2017
David Lopez-Paz
MarcÁurelio Ranzato
    VLMCLL
ArXiv (abs)PDFHTML

Papers citing "Gradient Episodic Memory for Continual Learning"

50 / 1,594 papers shown
Title
Visually Grounded Continual Learning of Compositional Phrases
Visually Grounded Continual Learning of Compositional Phrases
Xisen Jin
Junyi Du
Arka Sadhu
Ram Nevatia
Xiang Ren
CLL
61
4
0
02 May 2020
Importance Driven Continual Learning for Segmentation Across Domains
Importance Driven Continual Learning for Segmentation Across Domains
S. Özgün
Anne-Marie Rickmann
Abhijit Guha Roy
Christian Wachinger
OODCLL
57
33
0
30 Apr 2020
Exploring Fine-tuning Techniques for Pre-trained Cross-lingual Models
  via Continual Learning
Exploring Fine-tuning Techniques for Pre-trained Cross-lingual Models via Continual Learning
Zihan Liu
Genta Indra Winata
Andrea Madotto
Pascale Fung
CLL
92
18
0
29 Apr 2020
Neural Network Retraining for Model Serving
Neural Network Retraining for Model Serving
Diego Klabjan
Xiaofeng Zhu
CLL
80
10
0
29 Apr 2020
Continual Deep Learning by Functional Regularisation of Memorable Past
Continual Deep Learning by Functional Regularisation of Memorable Past
Pingbo Pan
S. Swaroop
Alexander Immer
Runa Eschenhagen
Richard Turner
Mohammad Emtiyaz Khan
KELMCLL
77
143
0
29 Apr 2020
Reducing catastrophic forgetting with learning on synthetic data
Reducing catastrophic forgetting with learning on synthetic data
Wojciech Masarczyk
Ivona Tautkute
DD
65
36
0
29 Apr 2020
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning
Arthur Douillard
Matthieu Cord
Charles Ollion
Thomas Robert
Eduardo Valle
CLL
59
6
0
28 Apr 2020
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less
  Forgetting
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting
Sanyuan Chen
Yutai Hou
Yiming Cui
Wanxiang Che
Ting Liu
Xiangzhan Yu
KELMCLL
140
226
0
27 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
104
417
0
23 Apr 2020
Continual Learning using a Bayesian Nonparametric Dictionary of Weight
  Factors
Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors
Nikhil Mehta
Kevin J. Liang
Vinay K Verma
Lawrence Carin
CLL
110
5
0
21 Apr 2020
CLOPS: Continual Learning of Physiological Signals
CLOPS: Continual Learning of Physiological Signals
Dani Kiyasseh
T. Zhu
David Clifton
65
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
64
156
0
20 Apr 2020
Label Propagation Adaptive Resonance Theory for Semi-supervised
  Continuous Learning
Label Propagation Adaptive Resonance Theory for Semi-supervised Continuous Learning
Taehyeong Kim
Injune Hwang
Gi-Cheon Kang
Won-Seok Choi
Hyunseok Kim
Byoung-Tak Zhang
26
5
0
16 Apr 2020
Continual Reinforcement Learning with Multi-Timescale Replay
Continual Reinforcement Learning with Multi-Timescale Replay
Christos Kaplanis
Claudia Clopath
Murray Shanahan
CLL
51
15
0
16 Apr 2020
Dark Experience for General Continual Learning: a Strong, Simple
  Baseline
Dark Experience for General Continual Learning: a Strong, Simple Baseline
Pietro Buzzega
Matteo Boschini
Angelo Porrello
Davide Abati
Simone Calderara
BDLCLL
93
928
0
15 Apr 2020
Defining Benchmarks for Continual Few-Shot Learning
Defining Benchmarks for Continual Few-Shot Learning
Antreas Antoniou
Massimiliano Patacchiola
Mateusz Ochal
Amos Storkey
56
38
0
15 Apr 2020
Evaluating Online Continual Learning with CALM
Evaluating Online Continual Learning with CALM
Germán Kruszewski
Ionut-Teodor Sorodoc
Tomas Mikolov
CLL
26
1
0
07 Apr 2020
Continual Domain-Tuning for Pretrained Language Models
Continual Domain-Tuning for Pretrained Language Models
Subendhu Rongali
Abhyuday N. Jagannatha
Bhanu Pratap Singh Rawat
Hong-ye Yu
CLLKELM
50
7
0
05 Apr 2020
Sequential Learning for Domain Generalization
Sequential Learning for Domain Generalization
Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
OOD
68
33
0
03 Apr 2020
Memory-Efficient Incremental Learning Through Feature Adaptation
Memory-Efficient Incremental Learning Through Feature Adaptation
Ahmet Iscen
Jeffrey O. Zhang
Svetlana Lazebnik
Cordelia Schmid
CLLVLM
75
165
0
01 Apr 2020
Semantic Drift Compensation for Class-Incremental Learning
Semantic Drift Compensation for Class-Incremental Learning
Lu Yu
Bartlomiej Twardowski
Xialei Liu
Luis Herranz
Kai Wang
Yongmei Cheng
Shangling Jui
Joost van de Weijer
CLL
95
345
0
01 Apr 2020
Conditional Channel Gated Networks for Task-Aware Continual Learning
Conditional Channel Gated Networks for Task-Aware Continual Learning
Davide Abati
Jakub M. Tomczak
Tijmen Blankevoort
Simone Calderara
Rita Cucchiara
B. Bejnordi
CLL
102
187
0
31 Mar 2020
SS-IL: Separated Softmax for Incremental Learning
SS-IL: Separated Softmax for Incremental Learning
Hongjoon Ahn
Jihwan Kwak
S. Lim
Hyeonsu Bang
Hyojun Kim
Taesup Moon
CLL
146
181
0
31 Mar 2020
Continual Learning with Node-Importance based Adaptive Group Sparse
  Regularization
Continual Learning with Node-Importance based Adaptive Group Sparse Regularization
Sangwon Jung
Hongjoon Ahn
Sungmin Cha
Taesup Moon
CLL
88
128
0
30 Mar 2020
iTAML: An Incremental Task-Agnostic Meta-learning Approach
iTAML: An Incremental Task-Agnostic Meta-learning Approach
Jathushan Rajasegaran
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
M. Shah
CLLOOD
146
157
0
25 Mar 2020
Overcoming Catastrophic Forgetting in Graph Neural Networks with
  Experience Replay
Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay
Fan Zhou
Chengtai Cao
CLL
71
10
0
22 Mar 2020
Adversarial Continual Learning
Adversarial Continual Learning
Sayna Ebrahimi
Franziska Meier
Roberto Calandra
Trevor Darrell
Marcus Rohrbach
CLLVLM
201
200
0
21 Mar 2020
Online Continual Learning on Sequences
Online Continual Learning on Sequences
G. I. Parisi
Vincenzo Lomonaco
CLL
56
25
0
20 Mar 2020
Lifelong Learning with Searchable Extension Units
Lifelong Learning with Searchable Extension Units
Wenjin Wang
Yunqing Hu
Yin Zhang
KELMCLL
108
3
0
19 Mar 2020
Incremental Object Detection via Meta-Learning
Incremental Object Detection via Meta-Learning
K. J. Joseph
Jathushan Rajasegaran
Salman Khan
Fahad Shahbaz Khan
V. Balasubramanian
ObjDCLLVLM
223
102
0
17 Mar 2020
Interference and Generalization in Temporal Difference Learning
Interference and Generalization in Temporal Difference Learning
Emmanuel Bengio
Joelle Pineau
Doina Precup
85
61
0
13 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
70
66
0
12 Mar 2020
Continuous Domain Adaptation with Variational Domain-Agnostic Feature
  Replay
Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay
Qicheng Lao
Xiang Jiang
Mohammad Havaei
Yoshua Bengio
VLM
65
33
0
09 Mar 2020
Federated Continual Learning with Weighted Inter-client Transfer
Federated Continual Learning with Weighted Inter-client Transfer
Jaehong Yoon
Wonyoung Jeong
Giwoong Lee
Eunho Yang
Sung Ju Hwang
FedML
147
213
0
06 Mar 2020
On Catastrophic Interference in Atari 2600 Games
On Catastrophic Interference in Atari 2600 Games
W. Fedus
Dibya Ghosh
John D. Martin
Marc G. Bellemare
Yoshua Bengio
Hugo Larochelle
81
27
0
28 Feb 2020
Using Hindsight to Anchor Past Knowledge in Continual Learning
Using Hindsight to Anchor Past Knowledge in Continual Learning
Arslan Chaudhry
Albert Gordo
P. Dokania
Philip Torr
David Lopez-Paz
KELMCLL
102
237
0
19 Feb 2020
Targeted Forgetting and False Memory Formation in Continual Learners
  through Adversarial Backdoor Attacks
Targeted Forgetting and False Memory Formation in Continual Learners through Adversarial Backdoor Attacks
Muhammad Umer
Glenn Dawson
R. Polikar
AAML
44
17
0
17 Feb 2020
BatchEnsemble: An Alternative Approach to Efficient Ensemble and
  Lifelong Learning
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning
Yeming Wen
Dustin Tran
Jimmy Ba
OODFedMLUQCV
218
494
0
17 Feb 2020
Automatically Discovering and Learning New Visual Categories with
  Ranking Statistics
Automatically Discovering and Learning New Visual Categories with Ranking Statistics
Kai Han
Sylvestre-Alvise Rebuffi
Sébastien Ehrhardt
Andrea Vedaldi
Andrew Zisserman
SSL
75
185
0
13 Feb 2020
Multi-Task Incremental Learning for Object Detection
Multi-Task Incremental Learning for Object Detection
Xialei Liu
Hao Yang
Avinash Ravichandran
Rahul Bhotika
Stefano Soatto
ObjDVLMCLL
63
12
0
13 Feb 2020
Incremental Meta-Learning via Indirect Discriminant Alignment
Incremental Meta-Learning via Indirect Discriminant Alignment
Qing Liu
Orchid Majumder
Alessandro Achille
Avinash Ravichandran
Rahul Bhotika
Stefano Soatto
CLL
51
6
0
11 Feb 2020
Unsupervised Domain Adaptive Object Detection using Forward-Backward
  Cyclic Adaptation
Unsupervised Domain Adaptive Object Detection using Forward-Backward Cyclic Adaptation
Siqi Yang
Lin Wu
Arnold Wiliem
Brian C. Lovell
ObjD
55
19
0
03 Feb 2020
Adversarial Incremental Learning
Ankur Singh
CLL
25
1
0
30 Jan 2020
Ternary Feature Masks: zero-forgetting for task-incremental learning
Ternary Feature Masks: zero-forgetting for task-incremental learning
Marc Masana
Tinne Tuytelaars
Joost van de Weijer
CLL
81
30
0
23 Jan 2020
SPACE: Structured Compression and Sharing of Representational Space for
  Continual Learning
SPACE: Structured Compression and Sharing of Representational Space for Continual Learning
Gobinda Saha
Isha Garg
Aayush Ankit
Kaushik Roy
CLL
51
22
0
23 Jan 2020
Gradient Surgery for Multi-Task Learning
Gradient Surgery for Multi-Task Learning
Tianhe Yu
Saurabh Kumar
Abhishek Gupta
Sergey Levine
Karol Hausman
Chelsea Finn
197
1,235
0
19 Jan 2020
Continual Learning for Domain Adaptation in Chest X-ray Classification
Continual Learning for Domain Adaptation in Chest X-ray Classification
Matthias Lenga
H. Schulz
A. Saalbach
OOD
88
61
0
16 Jan 2020
Rethinking Curriculum Learning with Incremental Labels and Adaptive
  Compensation
Rethinking Curriculum Learning with Incremental Labels and Adaptive Compensation
Madan Ravi Ganesh
Jason J. Corso
ODL
60
10
0
13 Jan 2020
Intelligence, physics and information -- the tradeoff between accuracy
  and simplicity in machine learning
Intelligence, physics and information -- the tradeoff between accuracy and simplicity in machine learning
Tailin Wu
121
1
0
11 Jan 2020
Frosting Weights for Better Continual Training
Frosting Weights for Better Continual Training
Xiaofeng Zhu
Feng Liu
Goce Trajcevski
Dingding Wang
FedMLAI4CECLL
53
5
0
07 Jan 2020
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