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Experience Replay for Continual Learning

Experience Replay for Continual Learning

28 November 2018
David Rolnick
Arun Ahuja
Jonathan Richard Schwarz
Timothy Lillicrap
Greg Wayne
    CLL
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Papers citing "Experience Replay for Continual Learning"

50 / 240 papers shown
Title
Gradient-based Maximally Interfered Retrieval for Domain Incremental 3D
  Object Detection
Gradient-based Maximally Interfered Retrieval for Domain Incremental 3D Object Detection
Barza Nisar
Hruday Vishal Kanna Anand
Steven L. Waslander
35
1
0
27 Apr 2023
Kaizen: Practical Self-supervised Continual Learning with Continual
  Fine-tuning
Kaizen: Practical Self-supervised Continual Learning with Continual Fine-tuning
Chi Ian Tang
Lorena Qendro
Dimitris Spathis
F. Kawsar
Cecilia Mascolo
Akhil Mathur
CLL
27
11
0
30 Mar 2023
Complementary Domain Adaptation and Generalization for Unsupervised
  Continual Domain Shift Learning
Complementary Domain Adaptation and Generalization for Unsupervised Continual Domain Shift Learning
Won-Yong Cho
Jinha Park
Taesup Kim
CLL
27
5
0
28 Mar 2023
Task-Attentive Transformer Architecture for Continual Learning of
  Vision-and-Language Tasks Using Knowledge Distillation
Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge Distillation
Yuliang Cai
Jesse Thomason
Mohammad Rostami
VLM
CLL
19
11
0
25 Mar 2023
Remind of the Past: Incremental Learning with Analogical Prompts
Remind of the Past: Incremental Learning with Analogical Prompts
Zhiheng Ma
Xiaopeng Hong
Beinan Liu
Yabin Wang
Pinyue Guo
Huiyun Li
CLL
34
1
0
24 Mar 2023
Understanding plasticity in neural networks
Understanding plasticity in neural networks
Clare Lyle
Zeyu Zheng
Evgenii Nikishin
Bernardo Avila-Pires
Razvan Pascanu
Will Dabney
AI4CE
42
98
0
02 Mar 2023
Better Generative Replay for Continual Federated Learning
Better Generative Replay for Continual Federated Learning
Daiqing Qi
Handong Zhao
Sheng Li
FedML
27
47
0
25 Feb 2023
Selective experience replay compression using coresets for lifelong deep
  reinforcement learning in medical imaging
Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imaging
Guangyao Zheng
Samson Zhou
Vladimir Braverman
M. Jacobs
V. Parekh
OffRL
CLL
24
3
0
22 Feb 2023
On Handling Catastrophic Forgetting for Incremental Learning of Human
  Physical Activity on the Edge
On Handling Catastrophic Forgetting for Incremental Learning of Human Physical Activity on the Edge
Jingwei Zuo
George Arvanitakis
Hakim Hacid
21
4
0
18 Feb 2023
Online Reinforcement Learning in Non-Stationary Context-Driven Environments
Online Reinforcement Learning in Non-Stationary Context-Driven Environments
Pouya Hamadanian
Arash Nasr-Esfahany
Malte Schwarzkopf
Siddartha Sen
MohammadIman Alizadeh
CLL
OffRL
50
0
0
04 Feb 2023
Clustered Embedding Learning for Recommender Systems
Clustered Embedding Learning for Recommender Systems
Yizhou Chen
Guangda Huzhang
Anxiang Zeng
Qingtao Yu
Hui Sun
Hengyi Li
Jingyi Li
Yabo Ni
Han Yu
Zhiming Zhou
29
9
0
03 Feb 2023
Towards Label-Efficient Incremental Learning: A Survey
Towards Label-Efficient Incremental Learning: A Survey
Mert Kilickaya
Joost van de Weijer
Yuki M. Asano
CLL
40
4
0
01 Feb 2023
Continual Graph Learning: A Survey
Continual Graph Learning: A Survey
Qiao Yuan
S. Guan
Pin Ni
Tianlun Luo
Ka Lok Man
Prudence W. H. Wong
Victor I. Chang
CLL
34
14
0
28 Jan 2023
Are Labels Needed for Incremental Instance Learning?
Are Labels Needed for Incremental Instance Learning?
Mert Kilickaya
Joaquin Vanschoren
CLL
SSL
47
1
0
26 Jan 2023
Self-recovery of memory via generative replay
Self-recovery of memory via generative replay
Zhenglong Zhou
Geshi Yeung
A. Schapiro
CLL
OffRL
32
1
0
15 Jan 2023
Saliency-Augmented Memory Completion for Continual Learning
Saliency-Augmented Memory Completion for Continual Learning
Guangji Bai
Chen Ling
Yuyang Gao
Liang Zhao
CLL
45
4
0
26 Dec 2022
Streaming Traffic Flow Prediction Based on Continuous Reinforcement
  Learning
Streaming Traffic Flow Prediction Based on Continuous Reinforcement Learning
Yanan Xiao
Minyu Liu
Zichen Zhang
Lu Jiang
Minghao Yin
Jianan Wang
AI4TS
30
5
0
24 Dec 2022
Contrastive Distillation Is a Sample-Efficient Self-Supervised Loss
  Policy for Transfer Learning
Contrastive Distillation Is a Sample-Efficient Self-Supervised Loss Policy for Transfer Learning
Christopher T. Lengerich
Gabriel Synnaeve
Amy Zhang
Hugh Leather
Kurt Shuster
Franccois Charton
Charysse Redwood
SSL
OffRL
27
1
0
21 Dec 2022
Test-time Adaptation in the Dynamic World with Compound Domain Knowledge
  Management
Test-time Adaptation in the Dynamic World with Compound Domain Knowledge Management
Jun S. Song
Kwanyong Park
Inkyu Shin
Sanghyun Woo
Chaoning Zhang
In So Kweon
TTA
29
6
0
16 Dec 2022
A soft nearest-neighbor framework for continual semi-supervised learning
A soft nearest-neighbor framework for continual semi-supervised learning
Zhiqi Kang
Enrico Fini
Moin Nabi
Elisa Ricci
Alahari Karteek
SSL
BDL
CLL
36
17
0
09 Dec 2022
Decorate the Newcomers: Visual Domain Prompt for Continual Test Time
  Adaptation
Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation
Yulu Gan
Yan Bai
Yihang Lou
Xianzheng Ma
Renrui Zhang
Nian Shi
Lin Luo
OOD
VLM
36
94
0
08 Dec 2022
ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data
  Format
ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format
Qi Zhu
Christian Geishauser
Hsien-Chin Lin
Carel van Niekerk
Baolin Peng
...
Dazhen Wan
Xiaochen Zhu
Jianfeng Gao
Milica Gavsić
Minlie Huang
56
23
0
30 Nov 2022
Progressive Learning without Forgetting
Progressive Learning without Forgetting
Tao Feng
Hangjie Yuan
Mang Wang
Ziyuan Huang
Ang Bian
Jianzhou Zhang
CLL
KELM
44
4
0
28 Nov 2022
Multi-Label Continual Learning using Augmented Graph Convolutional
  Network
Multi-Label Continual Learning using Augmented Graph Convolutional Network
Kaile Du
Fan Lyu
Linyan Li
Fuyuan Hu
Wei Feng
Fenglei Xu
Xuefeng Xi
Hanjing Cheng
CLL
33
13
0
27 Nov 2022
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for
  Graph Continual Learning
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning
Jihoon Ko
Shinhwan Kang
Taehyung Kwon
Heechan Moon
Kijung Shin
CLL
43
7
0
26 Nov 2022
Neural Weight Search for Scalable Task Incremental Learning
Neural Weight Search for Scalable Task Incremental Learning
Jian Jiang
Oya Celiktutan
CLL
27
7
0
24 Nov 2022
Semi-Supervised Lifelong Language Learning
Semi-Supervised Lifelong Language Learning
Ying Zhao
Yinhe Zheng
Yu Bowen
Zhiliang Tian
Dongkyu Lee
Jian Sun
Haiyang Yu
Yongbin Li
N. Zhang
CLL
KELM
43
3
0
23 Nov 2022
CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual
  Question Answering
CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering
Yao Zhang
Haokun Chen
A. Frikha
Yezi Yang
Denis Krompass
Gengyuan Zhang
Jindong Gu
Volker Tresp
VLM
LRM
16
7
0
19 Nov 2022
Building a Subspace of Policies for Scalable Continual Learning
Building a Subspace of Policies for Scalable Continual Learning
Jean-Baptiste Gaya
T. Doan
Lucas Caccia
Laure Soulier
Ludovic Denoyer
Roberta Raileanu
CLL
42
29
0
18 Nov 2022
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
James Smith
Paola Cascante-Bonilla
Assaf Arbelle
Donghyun Kim
Yikang Shen
David D. Cox
Diyi Yang
Z. Kira
Rogerio Feris
Leonid Karlinsky
VLM
47
20
0
17 Nov 2022
Mining Unseen Classes via Regional Objectness: A Simple Baseline for
  Incremental Segmentation
Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental Segmentation
Zekang Zhang
Guangyu Gao
Zhiyuan Fang
Jianbo Jiao
Yunchao Wei
CLL
26
31
0
13 Nov 2022
Simulation-Based Parallel Training
Simulation-Based Parallel Training
Lucas Meyer
Alejandro Ribés
Bruno Raffin
AI4CE
33
2
0
08 Nov 2022
A Theoretical Study on Solving Continual Learning
A Theoretical Study on Solving Continual Learning
Gyuhak Kim
Changnan Xiao
Tatsuya Konishi
Zixuan Ke
Bin Liu
CLL
27
71
0
04 Nov 2022
Do Pre-trained Models Benefit Equally in Continual Learning?
Do Pre-trained Models Benefit Equally in Continual Learning?
Kuan-Ying Lee
Yuanyi Zhong
Yu-xiong Wang
CLL
32
28
0
27 Oct 2022
Weight Averaging: A Simple Yet Effective Method to Overcome Catastrophic
  Forgetting in Automatic Speech Recognition
Weight Averaging: A Simple Yet Effective Method to Overcome Catastrophic Forgetting in Automatic Speech Recognition
Steven Vander Eeckt
Hugo Van hamme
CLL
MoMe
67
14
0
27 Oct 2022
Federated Continual Learning to Detect Accounting Anomalies in Financial
  Auditing
Federated Continual Learning to Detect Accounting Anomalies in Financial Auditing
Marco Schreyer
Hamed Hemati
Damian Borth
M. Vasarhelyi
FedML
45
3
0
26 Oct 2022
Is Multi-Task Learning an Upper Bound for Continual Learning?
Is Multi-Task Learning an Upper Bound for Continual Learning?
Zihao Wu
Huy Tran
Hamed Pirsiavash
Soheil Kolouri
SSL
CLL
28
4
0
26 Oct 2022
Deploying a Retrieval based Response Model for Task Oriented Dialogues
Deploying a Retrieval based Response Model for Task Oriented Dialogues
Lahari Poddar
Gyuri Szarvas
Cheng Wang
Jorge A. Balazs
Pavel Danchenko
P. Ernst
13
0
0
25 Oct 2022
Review Learning: Alleviating Catastrophic Forgetting with Generative
  Replay without Generator
Review Learning: Alleviating Catastrophic Forgetting with Generative Replay without Generator
Jaesung Yoo
Sung-Hyuk Choi
Yewon Yang
Suhyeon Kim
J. Choi
...
H. J. Joo
Dae-Jung Kim
R. Park
Hyeong-Jin Yoon
Kwangsoo Kim
KELM
OffRL
40
0
0
17 Oct 2022
CUP: Critic-Guided Policy Reuse
CUP: Critic-Guided Policy Reuse
Jin Zhang
Siyuan Li
Chongjie Zhang
34
8
0
15 Oct 2022
Task-Free Continual Learning via Online Discrepancy Distance Learning
Task-Free Continual Learning via Online Discrepancy Distance Learning
Fei Ye
A. Bors
CLL
24
28
0
12 Oct 2022
Multiple Modes for Continual Learning
Multiple Modes for Continual Learning
Siddhartha Datta
N. Shadbolt
CLL
MoMe
45
2
0
29 Sep 2022
Disentangling Transfer in Continual Reinforcement Learning
Disentangling Transfer in Continual Reinforcement Learning
Maciej Wołczyk
Michal Zajkac
Razvan Pascanu
Lukasz Kuciñski
Piotr Milo's
CLL
81
27
0
28 Sep 2022
Learn the Time to Learn: Replay Scheduling in Continual Learning
Learn the Time to Learn: Replay Scheduling in Continual Learning
Marcus Klasson
Hedvig Kjellström
Chen Zhang
CLL
37
9
0
18 Sep 2022
Causes of Catastrophic Forgetting in Class-Incremental Semantic
  Segmentation
Causes of Catastrophic Forgetting in Class-Incremental Semantic Segmentation
Tobias Kalb
Jürgen Beyerer
CLL
38
8
0
16 Sep 2022
On the Limitations of Continual Learning for Malware Classification
On the Limitations of Continual Learning for Malware Classification
Mohammad Saidur Rahman
Scott E. Coull
M. Wright
34
13
0
13 Aug 2022
Model-Free Generative Replay for Lifelong Reinforcement Learning:
  Application to Starcraft-2
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2
Z. Daniels
Aswin Raghavan
Jesse Hostetler
Abrar Rahman
Indranil Sur
M. Piacentino
Ajay Divakaran
CLL
OffRL
36
12
0
09 Aug 2022
A Multi-label Continual Learning Framework to Scale Deep Learning
  Approaches for Packaging Equipment Monitoring
A Multi-label Continual Learning Framework to Scale Deep Learning Approaches for Packaging Equipment Monitoring
Davide Dalle Pezze
Denis Deronjic
Chiara Masiero
Diego Tosato
A. Beghi
Gian Antonio Susto
CLL
32
9
0
08 Aug 2022
Latent Properties of Lifelong Learning Systems
Latent Properties of Lifelong Learning Systems
Corban G. Rivera
C. Ashcraft
Alexander New
J. Schmidt
Gautam K. Vallabha
CLL
17
0
0
28 Jul 2022
Incremental Task Learning with Incremental Rank Updates
Incremental Task Learning with Incremental Rank Updates
Rakib Hyder
Ken Shao
Boyu Hou
P. Markopoulos
Ashley Prater-Bennette
Ulugbek S. Kamilov
CLL
16
13
0
19 Jul 2022
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