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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
Incremental Concept Learning via Online Generative Memory Recall
Incremental Concept Learning via Online Generative Memory Recall
Huaiyu Li
Weiming Dong
Bao-Gang Hu
CLL
62
23
0
05 Jul 2019
Rethinking Continual Learning for Autonomous Agents and Robots
Rethinking Continual Learning for Autonomous Agents and Robots
G. I. Parisi
Christopher Kanan
CLL
40
9
0
02 Jul 2019
NetTailor: Tuning the Architecture, Not Just the Weights
NetTailor: Tuning the Architecture, Not Just the Weights
Pedro Morgado
Nuno Vasconcelos
MQ
56
29
0
29 Jun 2019
Continual Learning for Robotics: Definition, Framework, Learning
  Strategies, Opportunities and Challenges
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges
Timothée Lesort
Vincenzo Lomonaco
Andrei Stoian
Davide Maltoni
David Filliat
Natalia Díaz Rodríguez
CLL
123
250
0
29 Jun 2019
Beneficial perturbation network for continual learning
Beneficial perturbation network for continual learning
Shixian Wen
Laurent Itti
CLLKELM
29
2
0
22 Jun 2019
Continual Reinforcement Learning with Diversity Exploration and
  Adversarial Self-Correction
Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction
Fengda Zhu
Xiaojun Chang
Runhao Zeng
Mingkui Tan
CLL
52
3
0
21 Jun 2019
Task Agnostic Continual Learning via Meta Learning
Task Agnostic Continual Learning via Meta Learning
Xu He
Jakub Sygnowski
Alexandre Galashov
Andrei A. Rusu
Yee Whye Teh
Razvan Pascanu
OODCLLFedML
55
94
0
12 Jun 2019
Project Thyia: A Forever Gameplayer
Project Thyia: A Forever Gameplayer
Raluca D. Gaina
Simon Lucas
Diego Perez-Liebana
31
5
0
10 Jun 2019
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot
  Learning
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning
Han-Jia Ye
Hexiang Hu
De-Chuan Zhan
104
59
0
07 Jun 2019
Practical Deep Learning with Bayesian Principles
Practical Deep Learning with Bayesian Principles
Kazuki Osawa
S. Swaroop
Anirudh Jain
Runa Eschenhagen
Richard Turner
Rio Yokota
Mohammad Emtiyaz Khan
BDLUQCV
167
247
0
06 Jun 2019
Uncertainty-guided Continual Learning with Bayesian Neural Networks
Uncertainty-guided Continual Learning with Bayesian Neural Networks
Sayna Ebrahimi
Mohamed Elhoseiny
Trevor Darrell
Marcus Rohrbach
CLLBDL
68
197
0
06 Jun 2019
Lifelong Learning with a Changing Action Set
Lifelong Learning with a Changing Action Set
Yash Chandak
Georgios Theocharous
Chris Nota
Philip S. Thomas
CLLOffRL
77
31
0
05 Jun 2019
An Adaptive Random Path Selection Approach for Incremental Learning
An Adaptive Random Path Selection Approach for Incremental Learning
Jathushan Rajasegaran
Munawar Hayat
Salman Khan
Fahad Shahbaz Khan
Ling Shao
Ming-Hsuan Yang
ODLCLL
84
24
0
03 Jun 2019
Episodic Memory in Lifelong Language Learning
Episodic Memory in Lifelong Language Learning
Cyprien de Masson dÁutume
Sebastian Ruder
Lingpeng Kong
Dani Yogatama
CLLKELM
147
293
0
03 Jun 2019
Continual Learning of New Sound Classes using Generative Replay
Continual Learning of New Sound Classes using Generative Replay
Zhepei Wang
Y. C. Sübakan
Efthymios Tzinis
Paris Smaragdis
Laurent Charlin
VLM
133
23
0
03 Jun 2019
Large Scale Incremental Learning
Large Scale Incremental Learning
Yue Wu
Yinpeng Chen
Lijuan Wang
Yuancheng Ye
Zicheng Liu
Yandong Guo
Y. Fu
CLL
109
1,262
0
30 May 2019
Meta-Learning Representations for Continual Learning
Meta-Learning Representations for Continual Learning
Khurram Javed
Martha White
KELMCLL
85
321
0
29 May 2019
Unified Probabilistic Deep Continual Learning through Generative Replay
  and Open Set Recognition
Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition
Martin Mundt
Iuliia Pliushch
Sagnik Majumder
Yongwon Hong
Visvanathan Ramesh
UQCVBDL
104
41
0
28 May 2019
Uncertainty-based Continual Learning with Adaptive Regularization
Uncertainty-based Continual Learning with Adaptive Regularization
Hongjoon Ahn
Sungmin Cha
Donggyu Lee
Taesup Moon
BDL
100
221
0
28 May 2019
Single-Net Continual Learning with Progressive Segmented Training (PST)
Single-Net Continual Learning with Progressive Segmented Training (PST)
Xiaocong Du
Gouranga Charan
Frank Liu
Yu Cao
CLL
54
12
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
62
23
0
26 May 2019
Lifelong Neural Predictive Coding: Learning Cumulatively Online without
  Forgetting
Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting
Alexander Ororbia
A. Mali
Daniel Kifer
C. Lee Giles
CLLKELM
82
17
0
25 May 2019
Continual Reinforcement Learning in 3D Non-stationary Environments
Continual Reinforcement Learning in 3D Non-stationary Environments
Vincenzo Lomonaco
Karan Desai
Eugenio Culurciello
Davide Maltoni
OffRL
49
42
0
24 May 2019
Variational Prototype Replays for Continual Learning
Variational Prototype Replays for Continual Learning
Mengmi Zhang
Tao Wang
J. Lim
Gabriel Kreiman
Jiashi Feng
VLMCLL
73
15
0
23 May 2019
Transferable Multi-Domain State Generator for Task-Oriented Dialogue
  Systems
Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems
Chien-Sheng Wu
Andrea Madotto
Ehsan Hosseini-Asl
Caiming Xiong
R. Socher
Pascale Fung
93
437
0
21 May 2019
Continual Learning in Deep Neural Network by Using a Kalman Optimiser
Continual Learning in Deep Neural Network by Using a Kalman Optimiser
Honglin Li
Shirin Enshaeifar
F. Ganz
Payam Barnaghi
CLLKELM
42
4
0
20 May 2019
Learning to Memorize in Neural Task-Oriented Dialogue Systems
Learning to Memorize in Neural Task-Oriented Dialogue Systems
Chien-Sheng Wu
54
6
0
19 May 2019
Bayesian Optimized Continual Learning with Attention Mechanism
Bayesian Optimized Continual Learning with Attention Mechanism
Ju Xu
Jin Ma
Zhanxing Zhu
CLLBDL
18
6
0
10 May 2019
Improving and Understanding Variational Continual Learning
Improving and Understanding Variational Continual Learning
S. Swaroop
Cuong V Nguyen
T. Bui
Richard Turner
CLL
68
50
0
06 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
77
63
0
25 Apr 2019
Continual Learning with Self-Organizing Maps
Continual Learning with Self-Organizing Maps
P. Bashivan
Martin Schrimpf
R. Ajemian
Irina Rish
Matthew D Riemer
Y. Tu
CLL
50
13
0
19 Apr 2019
Attentive Single-Tasking of Multiple Tasks
Attentive Single-Tasking of Multiple Tasks
Kevis-Kokitsi Maninis
Ilija Radosavovic
Iasonas Kokkinos
202
251
0
18 Apr 2019
ACE: Adapting to Changing Environments for Semantic Segmentation
ACE: Adapting to Changing Environments for Semantic Segmentation
Zuxuan Wu
Xin Wang
Joseph E. Gonzalez
Tom Goldstein
L. Davis
OOD
79
102
0
12 Apr 2019
Unsupervised Progressive Learning and the STAM Architecture
Unsupervised Progressive Learning and the STAM Architecture
James Smith
Cameron Taylor
Seth Baer
C. Dovrolis
OffRLCLL
119
39
0
03 Apr 2019
M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental
  Learning
M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental Learning
Peng Zhou
Long Mai
Jianming Zhang
N. Xu
Zuxuan Wu
L. Davis
CLLVLM
85
55
0
03 Apr 2019
Learn to Grow: A Continual Structure Learning Framework for Overcoming
  Catastrophic Forgetting
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting
Xilai Li
Yingbo Zhou
Tianfu Wu
R. Socher
Caiming Xiong
CLL
115
437
0
31 Mar 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
139
206
0
29 Mar 2019
Gradient based sample selection for online continual learning
Gradient based sample selection for online continual learning
Rahaf Aljundi
Min Lin
Baptiste Goujaud
Yoshua Bengio
BDLCLL
146
840
0
20 Mar 2019
Regularize, Expand and Compress: Multi-task based Lifelong Learning via
  NonExpansive AutoML
Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML
Jie Zhang
Junting Zhang
Shalini Ghosh
Dawei Li
Jingwen Zhu
Heming Zhang
Yalin Wang
CLL
27
2
0
20 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
117
341
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
78
136
0
06 Mar 2019
Representative Task Self-selection for Flexible Clustered Lifelong
  Learning
Representative Task Self-selection for Flexible Clustered Lifelong Learning
Gan Sun
Yang Cong
Qianqian Wang
Bineng Zhong
Y. Fu
CLL
54
55
0
06 Mar 2019
Scalable and Order-robust Continual Learning with Additive Parameter
  Decomposition
Scalable and Order-robust Continual Learning with Additive Parameter Decomposition
Jaehong Yoon
Saehoon Kim
Eunho Yang
Sung Ju Hwang
CLL
98
178
0
25 Feb 2019
Online Meta-Learning
Online Meta-Learning
Chelsea Finn
Aravind Rajeswaran
Sham Kakade
Sergey Levine
CLL
87
256
0
22 Feb 2019
Meta-Curvature
Meta-Curvature
Eunbyung Park
Junier B. Oliva
BDL
78
124
0
09 Feb 2019
Policy Consolidation for Continual Reinforcement Learning
Policy Consolidation for Continual Reinforcement Learning
Christos Kaplanis
Murray Shanahan
Claudia Clopath
CLLOffRL
78
51
0
01 Feb 2019
Functional Regularisation for Continual Learning with Gaussian Processes
Functional Regularisation for Continual Learning with Gaussian Processes
Michalis K. Titsias
Jonathan Richard Schwarz
A. G. Matthews
Razvan Pascanu
Yee Whye Teh
CLLBDL
75
187
0
31 Jan 2019
Exploring the Challenges towards Lifelong Fact Learning
Exploring the Challenges towards Lifelong Fact Learning
Mohamed Elhoseiny
F. Babiloni
Rahaf Aljundi
Marcus Rohrbach
Manohar Paluri
Tinne Tuytelaars
53
12
0
26 Dec 2018
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
OffRLCLL
107
191
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
102
10
0
18 Dec 2018
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