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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"

47 / 547 papers shown
Title
Towards Making Deep Transfer Learning Never Hurt
Towards Making Deep Transfer Learning Never Hurt
Ruosi Wan
Haoyi Xiong
Xingjian Li
Zhanxing Zhu
Jun Huan
30
21
0
18 Nov 2019
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems
  With Limited Data
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data
Xinyun Chen
Wenxiao Wang
Chris Bender
Yiming Ding
R. Jia
Bo-wen Li
D. Song
AAML
27
107
0
17 Nov 2019
OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong
  Deep Learning
OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning
Qi She
Fan Feng
Xinyue Hao
Qihan Yang
Chuanlin Lan
...
Zhengwei Wang
Yao Guo
Yimin Zhang
Fei Qiao
Rosa H. M. Chan
VLM
38
75
0
15 Nov 2019
Knowledge Distillation for Incremental Learning in Semantic Segmentation
Knowledge Distillation for Incremental Learning in Semantic Segmentation
Umberto Michieli
Pietro Zanuttigh
CLL
VLM
28
98
0
08 Nov 2019
Adversarial Feature Alignment: Avoid Catastrophic Forgetting in
  Incremental Task Lifelong Learning
Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning
Hang Zhou
Ziwei Liu
Chenglei Wu
Ping Luo
Lifeng Sun
CLL
15
22
0
24 Oct 2019
Meta-Transfer Learning through Hard Tasks
Meta-Transfer Learning through Hard Tasks
Qianru Sun
Yaoyao Liu
Zhaozheng Chen
Tat-Seng Chua
Bernt Schiele
14
98
0
07 Oct 2019
REMIND Your Neural Network to Prevent Catastrophic Forgetting
REMIND Your Neural Network to Prevent Catastrophic Forgetting
Tyler L. Hayes
Kushal Kafle
Robik Shrestha
Manoj Acharya
Christopher Kanan
CLL
31
295
0
06 Oct 2019
Incremental learning for the detection and classification of
  GAN-generated images
Incremental learning for the detection and classification of GAN-generated images
Francesco Marra
Cristiano Saltori
G. Boato
Luisa Verdoliva
27
129
0
03 Oct 2019
Test-Time Training with Self-Supervision for Generalization under
  Distribution Shifts
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
Yu Sun
Xiaolong Wang
Zhuang Liu
John Miller
Alexei A. Efros
Moritz Hardt
TTA
OOD
27
92
0
29 Sep 2019
Neural Architecture Search for Class-incremental Learning
Neural Architecture Search for Class-incremental Learning
Shenyang Huang
Vincent François-Lavet
Guillaume Rabusseau
CLL
31
16
0
14 Sep 2019
Efficient Continual Learning in Neural Networks with Embedding
  Regularization
Efficient Continual Learning in Neural Networks with Embedding Regularization
Jary Pomponi
Simone Scardapane
Vincenzo Lomonaco
A. Uncini
CLL
36
41
0
09 Sep 2019
Continual Learning by Asymmetric Loss Approximation with Single-Side
  Overestimation
Continual Learning by Asymmetric Loss Approximation with Single-Side Overestimation
Dongmin Park
Seokil Hong
Bohyung Han
Kyoung Mu Lee
AAML
CLL
24
39
0
08 Aug 2019
Overcoming Catastrophic Forgetting by Neuron-level Plasticity Control
Overcoming Catastrophic Forgetting by Neuron-level Plasticity Control
Inyoung Paik
Sangjun Oh
Taeyeong Kwak
Injung Kim
CLL
37
49
0
31 Jul 2019
Lifelong GAN: Continual Learning for Conditional Image Generation
Lifelong GAN: Continual Learning for Conditional Image Generation
Mengyao Zhai
Lei Chen
Frederick Tung
Jiawei He
Megha Nawhal
Greg Mori
CLL
36
180
0
23 Jul 2019
Motion Planning Networks: Bridging the Gap Between Learning-based and
  Classical Motion Planners
Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion Planners
A. H. Qureshi
Yinglong Miao
Anthony Simeonov
Michael C. Yip
PINN
3DV
34
212
0
13 Jul 2019
Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches
Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches
Vincenzo Lomonaco
Davide Maltoni
Lorenzo Pellegrini
CLL
VLM
31
67
0
08 Jul 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
25
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
BDL
UQCV
56
240
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
CLL
BDL
21
195
0
06 Jun 2019
Episodic Memory in Lifelong Language Learning
Episodic Memory in Lifelong Language Learning
Cyprien de Masson dÁutume
Sebastian Ruder
Lingpeng Kong
Dani Yogatama
CLL
KELM
34
280
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
21
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
13
1,230
0
30 May 2019
Meta-Learning Representations for Continual Learning
Meta-Learning Representations for Continual Learning
Khurram Javed
Martha White
KELM
CLL
17
318
0
29 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
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
20
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
334
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
26
132
0
06 Mar 2019
Task-Free Continual Learning
Task-Free Continual Learning
Rahaf Aljundi
Klaas Kelchtermans
Tinne Tuytelaars
CLL
26
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
1,059
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
93
1,425
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
24
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
28
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
137
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
13
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
107
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
32
321
0
25 Jan 2017
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