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Hyperparameters in Continual Learning: A Reality Check

14 March 2024

Papers citing "Hyperparameters in Continual Learning: A Reality Check"

50 / 57 papers shown

Title
Rethinking the Stability-Plasticity Trade-off in Continual Learning from an Architectural Perspective Aojun Lu Hangjie Yuan Tao Feng Yanan Sun 49 2 0 04 Jun 2025
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 62 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 100 61 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 119 7 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 133 125 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 105 80 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 98 5 0 12 Dec 2023
Improving Plasticity in Online Continual Learning via Collaborative Learning Maorong Wang Nicolas Michel Ling Xiao Toshihiko Yamasaki CLL 89 10 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 95 4 0 18 Nov 2023
A Survey on Continual Semantic Segmentation: Theory, Challenge, Method and Application Bo Yuan Danpei Zhao 3DV CLL 103 12 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 210 34 0 13 Sep 2023
Rethinking Momentum Knowledge Distillation in Online Continual Learning Nicolas Michel Maorong Wang L. Xiao T. Yamasaki CLL 100 11 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 120 112 0 05 Jul 2023
Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning Sungmin Cha Kyunghyun Cho Taesup Moon BDL CLL 99 4 0 08 Jun 2023
AdaCL:Adaptive Continual Learning Elif Ceren Gok Murat Onur Yildirim Mert Kilickaya Joaquin Vanschoren CLL 99 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 80 64 0 20 Mar 2023
Is forgetting less a good inductive bias for forward transfer? Jiefeng Chen Timothy Nguyen Dilan Görür Arslan Chaudhry CLL 109 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 106 111 0 13 Mar 2023
Continual Pre-training of Language Models Zixuan Ke Yijia Shao Haowei Lin Tatsuya Konishi Gyuhak Kim Bin Liu CLL KELM 154 140 0 07 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and Application Liyuan Wang Xingxing Zhang Hang Su Jun Zhu KELM CLL 234 712 0 31 Jan 2023
Online Hyperparameter Optimization for Class-Incremental Learning Yaoyao Liu Yingying Li Bernt Schiele Qianru Sun CLL 72 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 98 299 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 102 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 80 138 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 132 504 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 97 260 0 10 Apr 2022
Continual Test-Time Domain Adaptation Qin Wang Olga Fink Luc Van Gool Dengxin Dai OOD TTA 114 432 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 68 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 130 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 109 142 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 119 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 107 799 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 113 167 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 75 36 0 07 Oct 2021
Efficiently Identifying Task Groupings for Multi-Task Learning Christopher Fifty Ehsan Amid Zhe Zhao Tianhe Yu Rohan Anil Chelsea Finn 301 258 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 80 91 0 22 Jun 2021
DER: Dynamically Expandable Representation for Class Incremental Learning Shipeng Yan Jiangwei Xie Xuming He CLL 69 458 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 83 700 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 713 41,795 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 378 1,760 0 29 Jun 2020
CPR: Classifier-Projection Regularization for Continual Learning Sungmin Cha Hsiang Hsu Taebaek Hwang Flavio du Pin Calmon Taesup Moon CLL 75 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 67 286 0 03 Feb 2020
Maintaining Discrimination and Fairness in Class Incremental Learning Bowen Zhao Xi Xiao Guojun Gan Bin Zhang Shutao Xia CLL 137 432 0 16 Nov 2019
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt Basel Alomair OODD 273 1,486 0 16 Jul 2019
Large Scale Incremental Learning Yue Wu Yinpeng Chen Lijuan Wang Yuancheng Ye Zicheng Liu Yandong Guo Y. Fu CLL 102 1,262 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 140 519 0 18 May 2019
Three scenarios for continual learning Gido M. van de Ven A. Tolias CLL 104 897 0 15 Apr 2019
Efficient Lifelong Learning with A-GEM Arslan Chaudhry MarcÁurelio Ranzato Marcus Rohrbach Mohamed Elhoseiny CLL 226 1,465 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 137 889 0 16 May 2018
Taskonomy: Disentangling Task Transfer Learning Amir Zamir Alexander Sax Bokui (William) Shen Leonidas Guibas Jitendra Malik Silvio Savarese 126 1,225 0 23 Apr 2018