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Gradient Episodic Memory for Continual Learning

Gradient Episodic Memory for Continual Learning

26 June 2017
David Lopez-Paz
MarcÁurelio Ranzato
    VLM
    CLL
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Papers citing "Gradient Episodic Memory for Continual Learning"

26 / 576 papers shown
Title
Uncertainty-based Continual Learning with Adaptive Regularization
Uncertainty-based Continual Learning with Adaptive Regularization
Hongjoon Ahn
Sungmin Cha
Donggyu Lee
Taesup Moon
BDL
24
209
0
28 May 2019
Sequential mastery of multiple visual tasks: Networks naturally learn to
  learn and forget to forget
Sequential mastery of multiple visual tasks: Networks naturally learn to learn and forget to forget
Guy Davidson
Michael C. Mozer
CLL
23
23
0
26 May 2019
Ray Interference: a Source of Plateaus in Deep Reinforcement Learning
Ray Interference: a Source of Plateaus in Deep Reinforcement Learning
Tom Schaul
Diana Borsa
Joseph Modayil
Razvan Pascanu
16
63
0
25 Apr 2019
Attentive Single-Tasking of Multiple Tasks
Attentive Single-Tasking of Multiple Tasks
Kevis-Kokitsi Maninis
Ilija Radosavovic
Iasonas Kokkinos
77
245
0
18 Apr 2019
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
Kibok Lee
Kimin Lee
Jinwoo Shin
Honglak Lee
CLL
43
201
0
29 Mar 2019
Class-incremental Learning via Deep Model Consolidation
Class-incremental Learning via Deep Model Consolidation
Junting Zhang
Jie Zhang
Shalini Ghosh
Dawei Li
Serafettin Tasci
Larry Heck
Heming Zhang
C.-C. Jay Kuo
CLL
27
335
0
19 Mar 2019
Sentence Embedding Alignment for Lifelong Relation Extraction
Sentence Embedding Alignment for Lifelong Relation Extraction
Hong Wang
Wenhan Xiong
Mo Yu
Xiaoxiao Guo
Shiyu Chang
William Yang Wang
CLL
29
133
0
06 Mar 2019
Deep Online Learning via Meta-Learning: Continual Adaptation for
  Model-Based RL
Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL
Anusha Nagabandi
Chelsea Finn
Sergey Levine
OffRL
CLL
14
192
0
18 Dec 2018
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete
  Demonstrations of Algorithmic Effectiveness in the Machine Learning and
  Artificial Intelligence Literature
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete Demonstrations of Algorithmic Effectiveness in the Machine Learning and Artificial Intelligence Literature
Franz J. Király
Bilal A. Mateen
R. Sonabend
20
10
0
18 Dec 2018
Task-Free Continual Learning
Task-Free Continual Learning
Rahaf Aljundi
Klaas Kelchtermans
Tinne Tuytelaars
CLL
35
354
0
10 Dec 2018
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without
  Catastrophic Forgetting
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting
C. Atkinson
B. McCane
Lech Szymanski
Anthony Robins
VLM
CLL
13
102
0
06 Dec 2018
Meta-Transfer Learning for Few-Shot Learning
Meta-Transfer Learning for Few-Shot Learning
Qianru Sun
Yaoyao Liu
Tat-Seng Chua
Bernt Schiele
75
1,060
0
06 Dec 2018
Efficient Lifelong Learning with A-GEM
Efficient Lifelong Learning with A-GEM
Arslan Chaudhry
MarcÁurelio Ranzato
Marcus Rohrbach
Mohamed Elhoseiny
CLL
108
1,426
0
02 Dec 2018
Towards Training Recurrent Neural Networks for Lifelong Learning
Towards Training Recurrent Neural Networks for Lifelong Learning
Shagun Sodhani
A. Chandar
Yoshua Bengio
CLL
27
19
0
16 Nov 2018
Learning to Learn without Forgetting by Maximizing Transfer and
  Minimizing Interference
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference
Matthew D Riemer
Ignacio Cases
R. Ajemian
Miao Liu
Irina Rish
Y. Tu
Gerald Tesauro
CLL
33
768
0
29 Oct 2018
Memory Efficient Experience Replay for Streaming Learning
Memory Efficient Experience Replay for Streaming Learning
Tyler L. Hayes
N. Cahill
Christopher Kanan
15
227
0
16 Sep 2018
Automatically Composing Representation Transformations as a Means for
  Generalization
Automatically Composing Representation Transformations as a Means for Generalization
Michael Chang
Abhishek Gupta
Sergey Levine
Thomas Griffiths
26
68
0
12 Jul 2018
Selfless Sequential Learning
Selfless Sequential Learning
Rahaf Aljundi
Marcus Rohrbach
Tinne Tuytelaars
CLL
33
114
0
14 Jun 2018
Reinforced Continual Learning
Reinforced Continual Learning
Ju Xu
Zhanxing Zhu
CLL
14
375
0
31 May 2018
Towards Robust Evaluations of Continual Learning
Towards Robust Evaluations of Continual Learning
Sebastian Farquhar
Y. Gal
CLL
28
305
0
24 May 2018
Measuring and regularizing networks in function space
Measuring and regularizing networks in function space
Ari S. Benjamin
David Rolnick
Konrad Paul Kording
21
138
0
21 May 2018
Memory-based Parameter Adaptation
Memory-based Parameter Adaptation
Pablo Sprechmann
Siddhant M. Jayakumar
Jack W. Rae
Alexander Pritzel
Adria Puigdomenech Badia
Benigno Uria
Oriol Vinyals
Demis Hassabis
Razvan Pascanu
Charles Blundell
ODL
OOD
VLM
16
101
0
28 Feb 2018
Incremental Classifier Learning with Generative Adversarial Networks
Incremental Classifier Learning with Generative Adversarial Networks
Yue Wu
Yinpeng Chen
Lijuan Wang
Yuancheng Ye
Zicheng Liu
Yandong Guo
Zhengyou Zhang
Y. Fu
GAN
29
108
0
02 Feb 2018
Scalable Recollections for Continual Lifelong Learning
Scalable Recollections for Continual Lifelong Learning
Matthew D Riemer
Tim Klinger
Djallel Bouneffouf
M. Franceschini
CLL
24
62
0
17 Nov 2017
Variational Continual Learning
Variational Continual Learning
Cuong V Nguyen
Yingzhen Li
T. Bui
Richard Turner
CLL
VLM
BDL
36
728
0
29 Oct 2017
Malicious URL Detection using Machine Learning: A Survey
Malicious URL Detection using Machine Learning: A Survey
Doyen Sahoo
Chenghao Liu
Guosheng Lin
MU
AAML
35
321
0
25 Jan 2017
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