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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"

50 / 552 papers shown
Title
Deep Anomaly Detection by Residual Adaptation
Deep Anomaly Detection by Residual Adaptation
Lucas Deecke
Lukas Ruff
Robert A. Vandermeulen
Hakan Bilen
UQCV
28
4
0
05 Oct 2020
Lifelong Language Knowledge Distillation
Lifelong Language Knowledge Distillation
Yung-Sung Chuang
Shang-Yu Su
Yun-Nung Chen
KELM
CLL
27
49
0
05 Oct 2020
Remembering for the Right Reasons: Explanations Reduce Catastrophic
  Forgetting
Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting
Sayna Ebrahimi
Suzanne Petryk
Akash Gokul
William Gan
Joseph E. Gonzalez
Marcus Rohrbach
Trevor Darrell
CLL
37
45
0
04 Oct 2020
Continual Model-Based Reinforcement Learning with Hypernetworks
Continual Model-Based Reinforcement Learning with Hypernetworks
Yizhou Huang
Kevin Xie
Homanga Bharadhwaj
Florian Shkurti
CLL
22
46
0
25 Sep 2020
Multi-Task Learning with Deep Neural Networks: A Survey
Multi-Task Learning with Deep Neural Networks: A Survey
M. Crawshaw
CVBM
53
609
0
10 Sep 2020
Imbalanced Continual Learning with Partitioning Reservoir Sampling
Imbalanced Continual Learning with Partitioning Reservoir Sampling
C. Kim
Jinseo Jeong
Gunhee Kim
CLL
27
101
0
08 Sep 2020
A Wholistic View of Continual Learning with Deep Neural Networks:
  Forgotten Lessons and the Bridge to Active and Open World Learning
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning
Martin Mundt
Yongjun Hong
Iuliia Pliushch
Visvanathan Ramesh
CLL
30
146
0
03 Sep 2020
Learning Adaptive Embedding Considering Incremental Class
Learning Adaptive Embedding Considering Incremental Class
Yang Yang
Zhensheng Sun
HengShu Zhu
Yanjie Fu
Hui Xiong
Jian Yang
CLL
24
40
0
31 Aug 2020
Meta Continual Learning via Dynamic Programming
Meta Continual Learning via Dynamic Programming
R. Krishnan
Prasanna Balaprakash
CLL
22
10
0
05 Aug 2020
Online Continual Learning under Extreme Memory Constraints
Online Continual Learning under Extreme Memory Constraints
Enrico Fini
Stéphane Lathuilière
E. Sangineto
Moin Nabi
Elisa Ricci
CLL
38
63
0
04 Aug 2020
Learn distributed GAN with Temporary Discriminators
Learn distributed GAN with Temporary Discriminators
Hui Qu
Yikai Zhang
Qi Chang
Zhennan Yan
Chao Chen
Dimitris N. Metaxas
FedML
21
16
0
17 Jul 2020
Automated Synthetic-to-Real Generalization
Automated Synthetic-to-Real Generalization
Wuyang Chen
Zhiding Yu
Zhangyang Wang
Anima Anandkumar
17
68
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
CLL
VLM
30
0
0
13 Jul 2020
Batch-level Experience Replay with Review for Continual Learning
Batch-level Experience Replay with Review for Continual Learning
Zheda Mai
Hyunwoo J. Kim
Jihwan Jeong
Scott Sanner
VLM
CLL
15
15
0
11 Jul 2020
Graph-Based Continual Learning
Graph-Based Continual Learning
Binh Tang
David S. Matteson
BDL
CLL
29
37
0
09 Jul 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
CLL
KELM
BDL
28
96
0
27 Jun 2020
Supermasks in Superposition
Supermasks in Superposition
Mitchell Wortsman
Vivek Ramanujan
Rosanne Liu
Aniruddha Kembhavi
Mohammad Rastegari
J. Yosinski
Ali Farhadi
SSL
CLL
33
279
0
26 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
25
10
0
22 Jun 2020
Generalisation Guarantees for Continual Learning with Orthogonal
  Gradient Descent
Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent
Mehdi Abbana Bennani
Thang Doan
Masashi Sugiyama
CLL
50
61
0
21 Jun 2020
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for
  Meta-Learning
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning
Sungyong Seo
Chuizheng Meng
Sirisha Rambhatla
Yan Liu
AI4CE
18
11
0
15 Jun 2020
Federated and continual learning for classification tasks in a society
  of devices
Federated and continual learning for classification tasks in a society of devices
F. Casado
Dylan Lema
R. Iglesias
Carlos V. Regueiro
S. Barro
FedML
27
2
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
21
219
0
12 Jun 2020
Real-Time Video Inference on Edge Devices via Adaptive Model Streaming
Real-Time Video Inference on Edge Devices via Adaptive Model Streaming
Mehrdad Khani Shirkoohi
Pouya Hamadanian
Arash Nasr-Esfahany
Mohammad Alizadeh
26
44
0
11 Jun 2020
Dataset Condensation with Gradient Matching
Dataset Condensation with Gradient Matching
Bo Zhao
Konda Reddy Mopuri
Hakan Bilen
DD
36
477
0
10 Jun 2020
Self-Supervised Learning Aided Class-Incremental Lifelong Learning
Self-Supervised Learning Aided Class-Incremental Lifelong Learning
Song Zhang
Gehui Shen
Jinsong Huang
Zhihong Deng
CLL
33
14
0
10 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
29
104
0
09 Jun 2020
Efficient Architecture Search for Continual Learning
Efficient Architecture Search for Continual Learning
Qiang Gao
Zhipeng Luo
Diego Klabjan
CLL
43
48
0
07 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
38
226
0
06 Jun 2020
Multi-Task Learning in Histo-pathology for Widely Generalizable Model
Multi-Task Learning in Histo-pathology for Widely Generalizable Model
Jevgenij Gamper
Navid Alemi Koohbanani
Nasir M. Rajpoot
14
7
0
09 May 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
46
18
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
14
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
KELM
CLL
21
213
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
34
403
0
23 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
CLL
KELM
8
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
16
33
0
03 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
42
184
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
22
176
0
31 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
CLL
OOD
30
153
0
25 Mar 2020
Adversarial Continual Learning
Adversarial Continual Learning
Sayna Ebrahimi
Franziska Meier
Roberto Calandra
Trevor Darrell
Marcus Rohrbach
CLL
VLM
152
199
0
21 Mar 2020
Online Continual Learning on Sequences
Online Continual Learning on Sequences
G. I. Parisi
Vincenzo Lomonaco
CLL
19
25
0
20 Mar 2020
Lifelong Learning with Searchable Extension Units
Lifelong Learning with Searchable Extension Units
Wenjin Wang
Yunqing Hu
Yin Zhang
KELM
CLL
13
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
ObjD
CLL
VLM
177
98
0
17 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
23
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
40
199
0
06 Mar 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
KELM
CLL
21
234
0
19 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
OOD
FedML
UQCV
32
483
0
17 Feb 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
41
1,172
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
8
61
0
16 Jan 2020
Frosting Weights for Better Continual Training
Frosting Weights for Better Continual Training
Xiaofeng Zhu
Feng Liu
Goce Trajcevski
Dingding Wang
FedML
AI4CE
CLL
28
5
0
07 Jan 2020
A Neural Dirichlet Process Mixture Model for Task-Free Continual
  Learning
A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning
Soochan Lee
Junsoo Ha
Dongsu Zhang
Gunhee Kim
BDL
CLL
16
209
0
03 Jan 2020
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