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Continual Learning with Deep Generative Replay
v1v2v3 (latest)

Continual Learning with Deep Generative Replay

24 May 2017
Hanul Shin
Jung Kwon Lee
Jaehong Kim
Jiwon Kim
    KELMCLL
ArXiv (abs)PDFHTML

Papers citing "Continual Learning with Deep Generative Replay"

50 / 616 papers shown
Title
Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition,
  and Selective Transfer
Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition, and Selective Transfer
Aswin Raghavan
Jesse Hostetler
Indranil Sur
Abrar Rahman
Ajay Divakaran
CLL
45
7
0
14 Jul 2020
RATT: Recurrent Attention to Transient Tasks for Continual Image
  Captioning
RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning
Riccardo Del Chiaro
Bartlomiej Twardowski
Andrew D. Bagdanov
Joost van de Weijer
CLLVLM
77
41
0
13 Jul 2020
Graph-Based Continual Learning
Graph-Based Continual Learning
Binh Tang
David S. Matteson
BDLCLL
76
37
0
09 Jul 2020
Pseudo-Rehearsal for Continual Learning with Normalizing Flows
Pseudo-Rehearsal for Continual Learning with Normalizing Flows
Jary Pomponi
Simone Scardapane
A. Uncini
48
15
0
05 Jul 2020
RSAC: Regularized Subspace Approximation Classifier for Lightweight
  Continuous Learning
RSAC: Regularized Subspace Approximation Classifier for Lightweight Continuous Learning
Chih-Hsing Ho
Shang-Ho
S. Tsai
CLL
36
0
0
03 Jul 2020
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural
  Networks with Replay Processes
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes
Timothée Lesort
CLL
85
22
0
01 Jul 2020
Enabling Continual Learning with Differentiable Hebbian Plasticity
Enabling Continual Learning with Differentiable Hebbian Plasticity
Vithursan Thangarasa
Thomas Miconi
Graham W. Taylor
CLL
87
14
0
30 Jun 2020
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot
  Class-Incremental Learning
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning
Hanbin Zhao
Yongjian Fu
Mintong Kang
Qi Tian
Leilei Gan
Xi Li
CLL
146
104
0
28 Jun 2020
Gradient-based Editing of Memory Examples for Online Task-free Continual
  Learning
Gradient-based Editing of Memory Examples for Online Task-free Continual Learning
Xisen Jin
Arka Sadhu
Junyi Du
Xiang Ren
CLLKELMBDL
85
99
0
27 Jun 2020
Continual Learning from the Perspective of Compression
Continual Learning from the Perspective of Compression
Xu He
Min Lin
CLL
45
3
0
26 Jun 2020
Storing Encoded Episodes as Concepts for Continual Learning
Storing Encoded Episodes as Concepts for Continual Learning
Ali Ayub
Alan R. Wagner
CLL
70
13
0
26 Jun 2020
Supermasks in Superposition
Supermasks in Superposition
Mitchell Wortsman
Vivek Ramanujan
Rosanne Liu
Aniruddha Kembhavi
Mohammad Rastegari
J. Yosinski
Ali Farhadi
SSLCLL
125
298
0
26 Jun 2020
AReLU: Attention-based Rectified Linear Unit
AReLU: Attention-based Rectified Linear Unit
Dengsheng Chen
Jun Li
Kai Xu
84
20
0
24 Jun 2020
Insights from the Future for Continual Learning
Insights from the Future for Continual Learning
Arthur Douillard
Eduardo Valle
Charles Ollion
Thomas Robert
Matthieu Cord
VLMCLL
77
11
0
24 Jun 2020
Ecological Reinforcement Learning
Ecological Reinforcement Learning
John D. Co-Reyes
Suvansh Sanjeev
Glen Berseth
Abhishek Gupta
Sergey Levine
OffRL
105
23
0
22 Jun 2020
Automatic Recall Machines: Internal Replay, Continual Learning and the
  Brain
Automatic Recall Machines: Internal Replay, Continual Learning and the Brain
Xu Ji
Joao Henriques
Tinne Tuytelaars
Andrea Vedaldi
KELM
98
10
0
22 Jun 2020
Deep Reinforcement Learning amidst Lifelong Non-Stationarity
Deep Reinforcement Learning amidst Lifelong Non-Stationarity
Annie Xie
James Harrison
Chelsea Finn
CLLOffRL
104
65
0
18 Jun 2020
GAN Memory with No Forgetting
GAN Memory with No Forgetting
Yulai Cong
Miaoyun Zhao
Jianqiao Li
Sijia Wang
Lawrence Carin
CLL
80
124
0
13 Jun 2020
CPR: Classifier-Projection Regularization for Continual Learning
CPR: Classifier-Projection Regularization for Continual Learning
Sungmin Cha
Hsiang Hsu
Taebaek Hwang
Flavio du Pin Calmon
Taesup Moon
CLL
77
77
0
12 Jun 2020
Understanding the Role of Training Regimes in Continual Learning
Understanding the Role of Training Regimes in Continual Learning
Seyed Iman Mirzadeh
Mehrdad Farajtabar
Razvan Pascanu
H. Ghasemzadeh
CLL
81
228
0
12 Jun 2020
Variational Auto-Regressive Gaussian Processes for Continual Learning
Variational Auto-Regressive Gaussian Processes for Continual Learning
Sanyam Kapoor
Theofanis Karaletsos
T. Bui
BDL
83
26
0
09 Jun 2020
Optimal Continual Learning has Perfect Memory and is NP-hard
Optimal Continual Learning has Perfect Memory and is NP-hard
Jeremias Knoblauch
Hisham Husain
Tom Diethe
CLL
140
105
0
09 Jun 2020
A Survey on Generative Adversarial Networks: Variants, Applications, and
  Training
A Survey on Generative Adversarial Networks: Variants, Applications, and Training
Abdul Jabbar
Xi Li
Bourahla Omar
103
276
0
09 Jun 2020
Coresets via Bilevel Optimization for Continual Learning and Streaming
Coresets via Bilevel Optimization for Continual Learning and Streaming
Zalan Borsos
Mojmír Mutný
Andreas Krause
CLL
105
241
0
06 Jun 2020
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
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
79
144
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
67
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
Pseudo Rehearsal using non photo-realistic images
Pseudo Rehearsal using non photo-realistic images
Bhasker Sri Harsha Suri
Kalidas Yeturu
36
1
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
IROS 2019 Lifelong Robotic Vision Challenge -- Lifelong Object
  Recognition Report
IROS 2019 Lifelong Robotic Vision Challenge -- Lifelong Object Recognition Report
Qi She
Fan Feng
Qi Liu
Rosa H. M. Chan
Xinyue Hao
...
Di Xie
Yangsheng Xu
Lin Yang
Qiaoyong Zhong
Liguang Zhou
21
2
0
26 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
419
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
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
66
156
0
20 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
Incremental Learning In Online Scenario
Incremental Learning In Online Scenario
Jiangpeng He
Runyu Mao
Zeman Shao
Fengqing Zhu
CLL
99
153
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
149
157
0
25 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
XtarNet: Learning to Extract Task-Adaptive Representation for
  Incremental Few-Shot Learning
XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning
Sung Whan Yoon
Do-Yeon Kim
Jun Seo
Jaekyun Moon
CLL
254
46
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
226
104
0
17 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
79
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
FoCL: Feature-Oriented Continual Learning for Generative Models
FoCL: Feature-Oriented Continual Learning for Generative Models
Qicheng Lao
Mehrzad Mortazavi
Marzieh S. Tahaei
Francis Dutil
T. Fevens
Mohammad Havaei
CLL
70
15
0
09 Mar 2020
Synaptic Metaplasticity in Binarized Neural Networks
Synaptic Metaplasticity in Binarized Neural Networks
Axel Laborieux
M. Ernoult
T. Hirtzlin
D. Querlioz
CLL
97
65
0
07 Mar 2020
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