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A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual
  Learning
v1v2 (latest)

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning

16 July 2023
Zhenyi Wang
Enneng Yang
Li Shen
Heng-Chiao Huang
    KELMMU
ArXiv (abs)PDFHTMLGithub (305★)

Papers citing "A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning"

50 / 126 papers shown
Title
Online Coreset Selection for Rehearsal-based Continual Learning
Online Coreset Selection for Rehearsal-based Continual Learning
Jaehong Yoon
Divyam Madaan
Eunho Yang
Sung Ju Hwang
CLL
75
144
0
02 Jun 2021
How Well Does Self-Supervised Pre-Training Perform with Streaming Data?
How Well Does Self-Supervised Pre-Training Perform with Streaming Data?
Dapeng Hu
Shipeng Yan
Qizhengqiu Lu
Lanqing Hong
Hailin Hu
Yifan Zhang
Zhenguo Li
Xinchao Wang
Jiashi Feng
100
29
0
25 Apr 2021
Rainbow Memory: Continual Learning with a Memory of Diverse Samples
Rainbow Memory: Continual Learning with a Memory of Diverse Samples
Jihwan Bang
Heesu Kim
Y. Yoo
Jung-Woo Ha
Jonghyun Choi
CLL
109
344
0
31 Mar 2021
Gradient Regularized Contrastive Learning for Continual Domain
  Adaptation
Gradient Regularized Contrastive Learning for Continual Domain Adaptation
Shixiang Tang
Peng Su
Peng Gao
Ni Zhao
CLL
49
67
0
23 Mar 2021
Gradient Projection Memory for Continual Learning
Gradient Projection Memory for Continual Learning
Gobinda Saha
Isha Garg
Kaushik Roy
VLMCLL
84
292
0
17 Mar 2021
Remember What You Want to Forget: Algorithms for Machine Unlearning
Remember What You Want to Forget: Algorithms for Machine Unlearning
Ayush Sekhari
Jayadev Acharya
Gautam Kamath
A. Suresh
FedMLMU
92
317
0
04 Mar 2021
Posterior Meta-Replay for Continual Learning
Posterior Meta-Replay for Continual Learning
Christian Henning
Maria R. Cervera
Francesco DÁngelo
J. Oswald
Regina Traber
Benjamin Ehret
Seijin Kobayashi
Benjamin Grewe
João Sacramento
CLLBDL
91
60
0
01 Mar 2021
Few-Shot Lifelong Learning
Few-Shot Lifelong Learning
Pratik Mazumder
Pravendra Singh
Piyush Rai
CLL
77
121
0
01 Mar 2021
Online Continual Learning in Image Classification: An Empirical Survey
Online Continual Learning in Image Classification: An Empirical Survey
Zheda Mai
Ruiwen Li
Jihwan Jeong
David Quispe
Hyunwoo J. Kim
Scott Sanner
VLMCLL
114
419
0
25 Jan 2021
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for
  Semi-supervised Continual Learning
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual Learning
Liyuan Wang
Kuo Yang
Chongxuan Li
Lanqing Hong
Zhenguo Li
Jun Zhu
CLLBDL
97
82
0
02 Jan 2021
Towards Continual Reinforcement Learning: A Review and Perspectives
Towards Continual Reinforcement Learning: A Review and Perspectives
Khimya Khetarpal
Matthew D Riemer
Irina Rish
Doina Precup
CLLOffRL
111
324
0
25 Dec 2020
Continual Adaptation of Visual Representations via Domain Randomization
  and Meta-learning
Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning
Riccardo Volpi
Diane Larlus
Grégory Rogez
VLMOODCLL
69
74
0
08 Dec 2020
Class-incremental learning: survey and performance evaluation on image
  classification
Class-incremental learning: survey and performance evaluation on image classification
Marc Masana
Xialei Liu
Bartlomiej Twardowski
Mikel Menta
Andrew D. Bagdanov
Joost van de Weijer
CLL
79
698
0
28 Oct 2020
Continual Learning in Low-rank Orthogonal Subspaces
Continual Learning in Low-rank Orthogonal Subspaces
Arslan Chaudhry
Naeemullah Khan
P. Dokania
Philip Torr
CLL
63
123
0
22 Oct 2020
A Theoretical Analysis of Catastrophic Forgetting through the NTK
  Overlap Matrix
A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix
T. Doan
Mehdi Abbana Bennani
Bogdan Mazoure
Guillaume Rabusseau
Pierre Alquier
CLL
70
86
0
07 Oct 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
92
65
0
04 Aug 2020
La-MAML: Look-ahead Meta Learning for Continual Learning
La-MAML: Look-ahead Meta Learning for Continual Learning
Gunshi Gupta
Karmesh Yadav
Liam Paull
CLLVLM
90
69
0
27 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
CLLKELMBDL
70
99
0
27 Jun 2020
Supermasks in Superposition
Supermasks in Superposition
Mitchell Wortsman
Vivek Ramanujan
Rosanne Liu
Aniruddha Kembhavi
Mohammad Rastegari
J. Yosinski
Ali Farhadi
SSLCLL
91
297
0
26 Jun 2020
DeltaGrad: Rapid retraining of machine learning models
DeltaGrad: Rapid retraining of machine learning models
Yinjun Wu
Yan Sun
S. Davidson
MU
63
202
0
26 Jun 2020
Transient Non-Stationarity and Generalisation in Deep Reinforcement
  Learning
Transient Non-Stationarity and Generalisation in Deep Reinforcement Learning
Maximilian Igl
Gregory Farquhar
Jelena Luketina
Wendelin Boehmer
Shimon Whiteson
98
88
0
10 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
55
26
0
09 Jun 2020
Addressing Catastrophic Forgetting in Few-Shot Problems
Addressing Catastrophic Forgetting in Few-Shot Problems
Pauching Yap
H. Ritter
David Barber
CLLBDL
71
19
0
30 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
100
412
0
23 Apr 2020
Dark Experience for General Continual Learning: a Strong, Simple
  Baseline
Dark Experience for General Continual Learning: a Strong, Simple Baseline
Pietro Buzzega
Matteo Boschini
Angelo Porrello
Davide Abati
Simone Calderara
BDLCLL
85
925
0
15 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
57
165
0
01 Apr 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
67
128
0
30 Mar 2020
Learn to Forget: Machine Unlearning via Neuron Masking
Learn to Forget: Machine Unlearning via Neuron Masking
Yang Liu
Zhuo Ma
Ximeng Liu
Jian Liu
Zhongyuan Jiang
Jianfeng Ma
Philip Yu
K. Ren
MU
73
67
0
24 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
233
46
0
19 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
119
209
0
06 Mar 2020
Mnemonics Training: Multi-Class Incremental Learning without Forgetting
Mnemonics Training: Multi-Class Incremental Learning without Forgetting
Yaoyao Liu
Yuting Su
Anan Liu
Bernt Schiele
Qianru Sun
CLL
81
347
0
24 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
OODFedMLUQCV
184
493
0
17 Feb 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
BDLCLL
90
212
0
03 Jan 2020
Maintaining Discrimination and Fairness in Class Incremental Learning
Maintaining Discrimination and Fairness in Class Incremental Learning
Bowen Zhao
Xi Xiao
Guojun Gan
Bin Zhang
Shutao Xia
CLL
135
431
0
16 Nov 2019
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep
  Networks
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks
Aditya Golatkar
Alessandro Achille
Stefano Soatto
CLLMU
95
505
0
12 Nov 2019
Invariant Representations through Adversarial Forgetting
Invariant Representations through Adversarial Forgetting
Ayush Jaiswal
Daniel Moyer
Greg Ver Steeg
Wael AbdAlmageed
Premkumar Natarajan
OOD
53
39
0
11 Nov 2019
Certified Data Removal from Machine Learning Models
Certified Data Removal from Machine Learning Models
Chuan Guo
Tom Goldstein
Awni Y. Hannun
Laurens van der Maaten
MU
114
451
0
08 Nov 2019
Continual Unsupervised Representation Learning
Continual Unsupervised Representation Learning
Dushyant Rao
Francesco Visin
Andrei A. Rusu
Yee Whye Teh
Razvan Pascanu
R. Hadsell
BDLCLLSSLDRL
41
262
0
31 Oct 2019
Overcoming Forgetting in Federated Learning on Non-IID Data
Overcoming Forgetting in Federated Learning on Non-IID Data
N. Shoham
Tomer Avidor
Aviv Keren
Nadav Tal-Israel
Daniel Benditkis
Liron Mor Yosef
Itai Zeitak
CLLFedML
135
226
0
17 Oct 2019
Mixout: Effective Regularization to Finetune Large-scale Pretrained
  Language Models
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models
Cheolhyoung Lee
Kyunghyun Cho
Wanmo Kang
MoE
284
209
0
25 Sep 2019
LAMOL: LAnguage MOdeling for Lifelong Language Learning
LAMOL: LAnguage MOdeling for Lifelong Language Learning
Fan-Keng Sun
Cheng-Hao Ho
Hung-yi Lee
CLLKELM
90
213
0
07 Sep 2019
Online Continual Learning with Maximally Interfered Retrieval
Online Continual Learning with Maximally Interfered Retrieval
Rahaf Aljundi
Lucas Caccia
Eugene Belilovsky
Massimo Caccia
Min Lin
Laurent Charlin
Tinne Tuytelaars
CLL
85
549
0
11 Aug 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
89
183
0
23 Jul 2019
Learning to Forget for Meta-Learning
Learning to Forget for Meta-Learning
Sungyong Baik
Seokil Hong
Kyoung Mu Lee
CLLKELM
60
88
0
13 Jun 2019
Continual learning with hypernetworks
Continual learning with hypernetworks
J. Oswald
Christian Henning
Benjamin Grewe
João Sacramento
CLL
81
363
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
102
1,259
0
30 May 2019
Similarity of Neural Network Representations Revisited
Similarity of Neural Network Representations Revisited
Simon Kornblith
Mohammad Norouzi
Honglak Lee
Geoffrey E. Hinton
143
1,435
0
01 May 2019
Three scenarios for continual learning
Three scenarios for continual learning
Gido M. van de Ven
A. Tolias
CLL
104
896
0
15 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
108
434
0
31 Mar 2019
On Tiny Episodic Memories in Continual Learning
On Tiny Episodic Memories in Continual Learning
Arslan Chaudhry
Marcus Rohrbach
Mohamed Elhoseiny
Thalaiyasingam Ajanthan
P. Dokania
Philip Torr
MarcÁurelio Ranzato
CLL
91
400
0
27 Feb 2019
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