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OpenAlex Citation Counts

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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

Showing 26-50 of 370 citing articles:

Fast Yet Effective Machine Unlearning
Ayush K Tarun, Vikram S Chundawat, Murari Mandal, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 9, pp. 13046-13055
Open Access | Times Cited: 40
Continual Detection Transformer for Incremental Object Detection
Yaoyao Liu, Bernt Schiele, Andrea Vedaldi, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 39
SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model
Gengwei Zhang, Liyuan Wang, Guoliang Kang, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 19091-19101
Open Access | Times Cited: 38
RMM: Reinforced Memory Management for Class-Incremental Learning
Yaoyao Liu, Bernt Schiele, Qianru Sun
arXiv (Cornell University) (2023)
Open Access | Times Cited: 32
Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models
Zangwei Zheng, Mingyuan Ma, Kai Wang, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 19068-19079
Open Access | Times Cited: 26
On the Stability-Plasticity Dilemma of Class-Incremental Learning
Dong-Wan Kim, Bohyung Han
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 25
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
Zhenyi Wang, Enneng Yang, Li Shen, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 47, Iss. 3, pp. 1464-1483
Open Access | Times Cited: 14
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Everton Lima Aleixo, Juan G. Colonna, Marco Cristo, et al.
Journal of the Brazilian Computer Society (2024) Vol. 30, Iss. 1
Open Access | Times Cited: 11
Rehearsal revealed: The limits and merits of revisiting samples in continual learning
Eli Verwimp, Matthias De Lange, Tinne Tuytelaars
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 55
Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning
Riccardo Volpi, Diane Larlus, Grégory Rogez
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 53
Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting
Anna Kukleva, Hilde Kuehne, Bernt Schiele
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 9000-9009
Open Access | Times Cited: 51
Layerwise Optimization by Gradient Decomposition for Continual Learning
Shixiang Tang, Dapeng Chen, Jinguo Zhu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 9629-9638
Open Access | Times Cited: 46
Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition
Martin Mundt, Iuliia Pliushch, Sagnik Majumder, et al.
Journal of Imaging (2022) Vol. 8, Iss. 4, pp. 93-93
Open Access | Times Cited: 37
UC-OWOD: Unknown-Classified Open World Object Detection
Zhiheng Wu, Yue Lu, Xingyu Chen, et al.
Lecture notes in computer science (2022), pp. 193-210
Closed Access | Times Cited: 33
Real-Time Evaluation in Online Continual Learning: A New Hope
Yasir Ghunaim, Adel Bibi, Kumail Alhamoud, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 21
Computationally Budgeted Continual Learning: What Does Matter?
Ameya Prabhu, Hasan Abed Al Kader Hammoud, Puneet K. Dokania, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 21
Online Hyperparameter Optimization for Class-Incremental Learning
Yaoyao Liu, Yingying Li, Bernt Schiele, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 7, pp. 8906-8913
Open Access | Times Cited: 20
Introducing Language Guidance in Prompt-based Continual Learning
Muhammad Gul Zain Ali Khan, Muhammad Ferjad Naeem, Luc Van Gool, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 11429-11439
Open Access | Times Cited: 20
Multi-granularity knowledge distillation and prototype consistency regularization for class-incremental learning
Yanyan Shi, Dianxi Shi, Ziteng Qiao, et al.
Neural Networks (2023) Vol. 164, pp. 617-630
Closed Access | Times Cited: 19
Prototype Reminiscence and Augmented Asymmetric Knowledge Aggregation for Non-Exemplar Class-Incremental Learning
Wuxuan Shi, Mang Ye
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 1772-1781
Closed Access | Times Cited: 19
Semantic Knowledge Guided Class-Incremental Learning
Shaokun Wang, Weiwei Shi, Songlin Dong, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2023) Vol. 33, Iss. 10, pp. 5921-5931
Closed Access | Times Cited: 17
Lifelong nnU-Net: a framework for standardized medical continual learning
Camila González, Amin Ranem, Daniel Pinto dos Santos, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 17
Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference
Yabin Wang, Zhiheng Ma, Zhiwu Huang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 8, pp. 10209-10217
Open Access | Times Cited: 17
What to Remember: Self-Adaptive Continual Learning for Audio Deepfake Detection
Xiaohui Zhang, Jiangyan Yi, Chenglong Wang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 17, pp. 19569-19577
Open Access | Times Cited: 8
Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning
Zhuowei Li, L. Zhao, Zizhao Zhang, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 2511-2521
Open Access | Times Cited: 7

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