OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
GDumb: A Simple Approach that Questions Our Progress in Continual Learning
Ameya Prabhu, Philip H. S. Torr, Puneet K. Dokania
Lecture notes in computer science (2020), pp. 524-540
Closed Access | Times Cited: 370
Ameya Prabhu, Philip H. S. Torr, Puneet K. Dokania
Lecture notes in computer science (2020), pp. 524-540
Closed Access | Times Cited: 370
Showing 1-25 of 370 citing articles:
Class-Incremental Learning: Survey and Performance Evaluation on Image Classification
Marc Masana, Xialei Liu, Bartłomiej Twardowski, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 45, Iss. 5, pp. 5513-5533
Open Access | Times Cited: 356
Marc Masana, Xialei Liu, Bartłomiej Twardowski, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 45, Iss. 5, pp. 5513-5533
Open Access | Times Cited: 356
Towards Open World Object Detection
K J Joseph, Salman Khan, Fahad Shahbaz Khan, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 5826-5836
Open Access | Times Cited: 352
K J Joseph, Salman Khan, Fahad Shahbaz Khan, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 5826-5836
Open Access | Times Cited: 352
Learning to Prompt for Continual Learning
Zifeng Wang, Zizhao Zhang, Chen‐Yu Lee, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 139-149
Open Access | Times Cited: 344
Zifeng Wang, Zizhao Zhang, Chen‐Yu Lee, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 139-149
Open Access | Times Cited: 344
Online continual learning in image classification: An empirical survey
Zheda Mai, Ruiwen Li, Jihwan Jeong, et al.
Neurocomputing (2021) Vol. 469, pp. 28-51
Open Access | Times Cited: 269
Zheda Mai, Ruiwen Li, Jihwan Jeong, et al.
Neurocomputing (2021) Vol. 469, pp. 28-51
Open Access | Times Cited: 269
Prototype Augmentation and Self-Supervision for Incremental Learning
Fei Zhu, Xu-Yao Zhang, Chuang Wang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Closed Access | Times Cited: 241
Fei Zhu, Xu-Yao Zhang, Chuang Wang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Closed Access | Times Cited: 241
Rainbow Memory: Continual Learning with a Memory of Diverse Samples
Jihwan Bang, Heesu Kim, Youngjoon Yoo, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 8214-8223
Open Access | Times Cited: 208
Jihwan Bang, Heesu Kim, Youngjoon Yoo, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 8214-8223
Open Access | Times Cited: 208
DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning
Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, et al.
Lecture notes in computer science (2022), pp. 631-648
Open Access | Times Cited: 180
Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, et al.
Lecture notes in computer science (2022), pp. 631-648
Open Access | Times Cited: 180
A Comprehensive Survey of Continual Learning: Theory, Method and Application
Liyuan Wang, Xingxing Zhang, Hang Su, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 8, pp. 5362-5383
Open Access | Times Cited: 179
Liyuan Wang, Xingxing Zhang, Hang Su, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 8, pp. 5362-5383
Open Access | Times Cited: 179
Adaptive Aggregation Networks for Class-Incremental Learning
Yaoyao Liu, Bernt Schiele, Qianru Sun
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 149
Yaoyao Liu, Bernt Schiele, Qianru Sun
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 149
Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation
Minsoo Kang, Jaeyoo Park, Bohyung Han
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 121
Minsoo Kang, Jaeyoo Park, Bohyung Han
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 121
OW-DETR: Open-world Detection Transformer
Akshita Gupta, Sanath Narayan, K J Joseph, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 119
Akshita Gupta, Sanath Narayan, K J Joseph, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 119
Constrained Few-shot Class-incremental Learning
Michael Hersche, Geethan Karunaratne, Giovanni Cherubini, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 9047-9057
Open Access | Times Cited: 97
Michael Hersche, Geethan Karunaratne, Giovanni Cherubini, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 9047-9057
Open Access | Times Cited: 97
Dataset Condensation with Distribution Matching
Bo Zhao, Hakan Bilen
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023), pp. 6503-6512
Open Access | Times Cited: 84
Bo Zhao, Hakan Bilen
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023), pp. 6503-6512
Open Access | Times Cited: 84
Self-Supervised Models are Continual Learners
Enrico Fini, Victor G. Turrisi da Costa, Xavier Alameda-Pineda, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 9611-9620
Open Access | Times Cited: 81
Enrico Fini, Victor G. Turrisi da Costa, Xavier Alameda-Pineda, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 9611-9620
Open Access | Times Cited: 81
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning
Grégoire Petit, Adrian Popescu, Hugo Schindler, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023), pp. 3900-3909
Open Access | Times Cited: 62
Grégoire Petit, Adrian Popescu, Hugo Schindler, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023), pp. 3900-3909
Open Access | Times Cited: 62
Dataset Distillation: A Comprehensive Review
Ruonan Yu, Songhua Liu, Xinchao Wang
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 46, Iss. 1, pp. 150-170
Open Access | Times Cited: 56
Ruonan Yu, Songhua Liu, Xinchao Wang
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 46, Iss. 1, pp. 150-170
Open Access | Times Cited: 56
Few-Shot Class-Incremental Learning for Medical Time Series Classification
Le Sun, Mingyang Zhang, Benyou Wang, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 4, pp. 1872-1882
Closed Access | Times Cited: 55
Le Sun, Mingyang Zhang, Benyou Wang, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 4, pp. 1872-1882
Closed Access | Times Cited: 55
Class-Incremental Learning: A Survey
Da-Wei Zhou, Qiwei Wang, Zhihong Qi, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 12, pp. 9851-9873
Open Access | Times Cited: 33
Da-Wei Zhou, Qiwei Wang, Zhihong Qi, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 12, pp. 9851-9873
Open Access | Times Cited: 33
Avalanche: an End-to-End Library for Continual Learning
Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2021), pp. 3595-3605
Open Access | Times Cited: 101
Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2021), pp. 3595-3605
Open Access | Times Cited: 101
Training Networks in Null Space of Feature Covariance for Continual Learning
Shipeng Wang, Xiaorong Li, Jian Sun, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 184-193
Open Access | Times Cited: 75
Shipeng Wang, Xiaorong Li, Jian Sun, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 184-193
Open Access | Times Cited: 75
Continual Learning for Blind Image Quality Assessment
Weixia Zhang, Dingquan Li, Chao Ma, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022), pp. 1-1
Open Access | Times Cited: 67
Weixia Zhang, Dingquan Li, Chao Ma, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022), pp. 1-1
Open Access | Times Cited: 67
Essentials for Class Incremental Learning
Sudhanshu Mittal, Silvio Galesso, Thomas Brox
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2021)
Open Access | Times Cited: 66
Sudhanshu Mittal, Silvio Galesso, Thomas Brox
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2021)
Open Access | Times Cited: 66
Class-Incremental Continual Learning Into the eXtended DER-Verse
Matteo Boschini, Lorenzo Bonicelli, Pietro Buzzega, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 45, Iss. 5, pp. 5497-5512
Open Access | Times Cited: 64
Matteo Boschini, Lorenzo Bonicelli, Pietro Buzzega, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 45, Iss. 5, pp. 5497-5512
Open Access | Times Cited: 64
Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency
Yanan Gu, Xu Yang, Kun Wei, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 7432-7441
Closed Access | Times Cited: 48
Yanan Gu, Xu Yang, Kun Wei, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 7432-7441
Closed Access | Times Cited: 48
R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning
Qiankun Gao, Chen Zhao, Bernard Ghanem, et al.
Lecture notes in computer science (2022), pp. 423-439
Closed Access | Times Cited: 44
Qiankun Gao, Chen Zhao, Bernard Ghanem, et al.
Lecture notes in computer science (2022), pp. 423-439
Closed Access | Times Cited: 44
