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2403.09066
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Hyperparameters in Continual Learning: A Reality Check
14 March 2024
Sungmin Cha
Kyunghyun Cho
CLL
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Papers citing
"Hyperparameters in Continual Learning: A Reality Check"
50 / 56 papers shown
Title
Learning Equi-angular Representations for Online Continual Learning
Minhyuk Seo
Hyun-woo Koh
Wonje Jeung
Minjae Lee
San Kim
Hankook Lee
Sungjun Cho
Sungik Choi
Hyunwoo Kim
Jonghyun Choi
CLL
48
14
0
02 Apr 2024
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning
Da-Wei Zhou
Hai-Long Sun
Han-Jia Ye
De-Chuan Zhan
CLL
81
60
0
18 Mar 2024
BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation
Daeun Lee
Jaehong Yoon
Sung Ju Hwang
CLL
TTA
101
6
0
13 Feb 2024
Continual Learning for Large Language Models: A Survey
Tongtong Wu
Linhao Luo
Yuan-Fang Li
Shirui Pan
Thuy-Trang Vu
Gholamreza Haffari
CLL
LRM
KELM
113
122
0
02 Feb 2024
Continual Learning with Pre-Trained Models: A Survey
Da-Wei Zhou
Hai-Long Sun
Jingyi Ning
Han-Jia Ye
De-Chuan Zhan
CLL
KELM
90
76
0
29 Jan 2024
What, How, and When Should Object Detectors Update in Continually Changing Test Domains?
Jayeon Yoo
Dongkwan Lee
Inseop Chung
Donghyun Kim
Nojun Kwak
OOD
VLM
TTA
87
5
0
12 Dec 2023
Improving Plasticity in Online Continual Learning via Collaborative Learning
Maorong Wang
Nicolas Michel
Ling Xiao
Toshihiko Yamasaki
CLL
70
9
0
01 Dec 2023
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning
Doyoung Kim
Susik Yoon
Dongmin Park
Youngjun Lee
Hwanjun Song
Jihwan Bang
Jae-Gil Lee
VLM
85
3
0
18 Nov 2023
A Survey on Continual Semantic Segmentation: Theory, Challenge, Method and Application
Bo Yuan
Danpei Zhao
3DV
CLL
85
11
0
22 Oct 2023
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox
Hai-Long Sun
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
CLL
186
34
0
13 Sep 2023
Rethinking Momentum Knowledge Distillation in Online Continual Learning
Nicolas Michel
Maorong Wang
L. Xiao
T. Yamasaki
CLL
75
9
0
06 Sep 2023
RanPAC: Random Projections and Pre-trained Models for Continual Learning
Mark D Mcdonnell
Dong Gong
Amin Parvaneh
Ehsan Abbasnejad
Anton Van Den Hengel
VLM
CLL
84
108
0
05 Jul 2023
Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning
Sungmin Cha
Kyunghyun Cho
Taesup Moon
BDL
CLL
67
3
0
08 Jun 2023
AdaCL:Adaptive Continual Learning
Elif Ceren Gok
Murat Onur Yildirim
Mert Kilickaya
Joaquin Vanschoren
CLL
76
1
0
23 Mar 2023
Computationally Budgeted Continual Learning: What Does Matter?
Ameya Prabhu
Hasan Hammoud
P. Dokania
Philip Torr
Ser-Nam Lim
Guohao Li
Adel Bibi
CLL
68
63
0
20 Mar 2023
Is forgetting less a good inductive bias for forward transfer?
Jiefeng Chen
Timothy Nguyen
Dilan Görür
Arslan Chaudhry
CLL
92
14
0
14 Mar 2023
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
Ziwei Liu
CLL
86
110
0
13 Mar 2023
Continual Pre-training of Language Models
Zixuan Ke
Yijia Shao
Haowei Lin
Tatsuya Konishi
Gyuhak Kim
Bin Liu
CLL
KELM
88
138
0
07 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and Application
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELM
CLL
170
693
0
31 Jan 2023
Online Hyperparameter Optimization for Class-Incremental Learning
Yaoyao Liu
Yingying Li
Bernt Schiele
Qianru Sun
CLL
68
33
0
11 Jan 2023
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning
James Smith
Leonid Karlinsky
V. Gutta
Paola Cascante-Bonilla
Donghyun Kim
Assaf Arbelle
Yikang Shen
Rogerio Feris
Z. Kira
CLL
VPVLM
VLM
93
295
0
23 Nov 2022
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research
J. Bornschein
Alexandre Galashov
Ross Hemsley
Amal Rannen-Triki
Yutian Chen
...
Angeliki Lazaridou
Yee Whye Teh
Andrei A. Rusu
Razvan Pascanu
MarcÁurelio Ranzato
OOD
VLM
AI4TS
90
18
0
15 Nov 2022
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning
Da-Wei Zhou
Qiwen Wang
Han-Jia Ye
De-Chuan Zhan
76
136
0
26 May 2022
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning
Zifeng Wang
Zizhao Zhang
Sayna Ebrahimi
Ruoxi Sun
Han Zhang
...
Xiaoqi Ren
Guolong Su
Vincent Perot
Jennifer Dy
Tomas Pfister
CLL
VLM
VPVLM
117
501
0
10 Apr 2022
FOSTER: Feature Boosting and Compression for Class-Incremental Learning
Fu Lee Wang
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
CLL
79
258
0
10 Apr 2022
Continual Test-Time Domain Adaptation
Qin Wang
Olga Fink
Luc Van Gool
Dengxin Dai
OOD
TTA
109
428
0
25 Mar 2022
On Generalizing Beyond Domains in Cross-Domain Continual Learning
Christian Simon
M. Faraki
Yi-Hsuan Tsai
Xiang Yu
S. Schulter
Yumin Suh
Mehrtash Harandi
Manmohan Chandraker
FedML
OOD
CLL
60
32
0
08 Mar 2022
Rebalancing Batch Normalization for Exemplar-based Class-Incremental Learning
Sungmin Cha
Sungjun Cho
Dasol Hwang
Sunwon Hong
Moontae Lee
Taesup Moon
CLL
106
19
0
29 Jan 2022
Class-Incremental Continual Learning into the eXtended DER-verse
Matteo Boschini
Lorenzo Bonicelli
Pietro Buzzega
Angelo Porrello
Simone Calderara
CLL
BDL
90
140
0
03 Jan 2022
PyCIL: A Python Toolbox for Class-Incremental Learning
Da-Wei Zhou
Fu Lee Wang
Han-Jia Ye
De-Chuan Zhan
CLL
95
98
0
23 Dec 2021
Learning to Prompt for Continual Learning
Zifeng Wang
Zizhao Zhang
Chen-Yu Lee
Han Zhang
Ruoxi Sun
Xiaoqi Ren
Guolong Su
Vincent Perot
Jennifer Dy
Tomas Pfister
CLL
VPVLM
KELM
VLM
101
785
0
16 Dec 2021
Self-Supervised Models are Continual Learners
Enrico Fini
Victor G. Turrisi da Costa
Xavier Alameda-Pineda
Elisa Ricci
Alahari Karteek
Julien Mairal
BDL
CLL
SSL
86
166
0
08 Dec 2021
CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability
Martin Mundt
Steven Braun
Quentin Delfosse
Kristian Kersting
73
35
0
07 Oct 2021
Efficiently Identifying Task Groupings for Multi-Task Learning
Christopher Fifty
Ehsan Amid
Zhe Zhao
Tianhe Yu
Rohan Anil
Chelsea Finn
287
254
1
10 Sep 2021
SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning
Sungmin Cha
Beomyoung Kim
Y. Yoo
Taesup Moon
CLL
65
91
0
22 Jun 2021
DER: Dynamically Expandable Representation for Class Incremental Learning
Shipeng Yan
Jiangwei Xie
Xuming He
CLL
67
454
0
31 Mar 2021
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
692
0
28 Oct 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
667
41,369
0
22 Oct 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
Dan Hendrycks
Steven Basart
Norman Mu
Saurav Kadavath
Frank Wang
...
Samyak Parajuli
Mike Guo
Basel Alomair
Jacob Steinhardt
Justin Gilmer
OOD
347
1,751
0
29 Jun 2020
CPR: Classifier-Projection Regularization for Continual Learning
Sungmin Cha
Hsiang Hsu
Taebaek Hwang
Flavio du Pin Calmon
Taesup Moon
CLL
68
77
0
12 Jun 2020
Modeling the Background for Incremental Learning in Semantic Segmentation
Fabio Cermelli
Massimiliano Mancini
Samuel Rota Buló
Elisa Ricci
Barbara Caputo
CLL
VLM
48
284
0
03 Feb 2020
Maintaining Discrimination and Fairness in Class Incremental Learning
Bowen Zhao
Xi Xiao
Guojun Gan
Bin Zhang
Shutao Xia
CLL
130
430
0
16 Nov 2019
Natural Adversarial Examples
Dan Hendrycks
Kevin Zhao
Steven Basart
Jacob Steinhardt
Basel Alomair
OODD
212
1,482
0
16 Jul 2019
Large Scale Incremental Learning
Yue Wu
Yinpeng Chen
Lijuan Wang
Yuancheng Ye
Zicheng Liu
Yandong Guo
Y. Fu
CLL
102
1,258
0
30 May 2019
Which Tasks Should Be Learned Together in Multi-task Learning?
Trevor Scott Standley
Amir Zamir
Dawn Chen
Leonidas Guibas
Jitendra Malik
Silvio Savarese
103
517
0
18 May 2019
Three scenarios for continual learning
Gido M. van de Ven
A. Tolias
CLL
99
895
0
15 Apr 2019
Efficient Lifelong Learning with A-GEM
Arslan Chaudhry
MarcÁurelio Ranzato
Marcus Rohrbach
Mohamed Elhoseiny
CLL
210
1,458
0
02 Dec 2018
Progress & Compress: A scalable framework for continual learning
Jonathan Richard Schwarz
Jelena Luketina
Wojciech M. Czarnecki
A. Grabska-Barwinska
Yee Whye Teh
Razvan Pascanu
R. Hadsell
CLL
125
889
0
16 May 2018
Taskonomy: Disentangling Task Transfer Learning
Amir Zamir
Alexander Sax
Bokui (William) Shen
Leonidas Guibas
Jitendra Malik
Silvio Savarese
126
1,221
0
23 Apr 2018
Continual Lifelong Learning with Neural Networks: A Review
G. I. Parisi
Ronald Kemker
Jose L. Part
Christopher Kanan
S. Wermter
KELM
CLL
193
2,895
0
21 Feb 2018
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