Memory Aware Synapses: Learning What (not) to Forget

Cited by (1,000)

Items 201–300 of 1,000

1. Learning with Selective Forgetting
   Shibata, Takashi, Irie, Go, Ikami, Daiki, Mitsuzumi, Yu · 2021 · Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence
2. Meta Learning for Natural Language Processing: A Survey
   Hung-yi Lee, Shang-Wen Daniel Li, Thang Vu · 2022 · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
3. Long-Tailed Class Incremental Learning
   Xialei Liu, Yusong Hu, Xusheng Cao, Andrew D. Bagdanov, Ke Li, Ming‐Ming Cheng · 2022 · Lecture notes in computer science
4. Anchor Assisted Experience Replay for Online Class-Incremental Learning
   Huiwei Lin, Shanshan Feng, Xutao Li, Wentao Li, Yunming Ye · 2022 · IEEE Transactions on Circuits and Systems for Video Technology
5. A Class-Incremental Approach With Self-Training and Prototype Augmentation for Specific Emitter Identification
   Dingzhao Li, Jie Qi, Shaohua Hong, Pengfei Deng, Haixin Sun · 2023 · IEEE Transactions on Information Forensics and Security
6. Unsupervised Continual Anomaly Detection with Contrastively-Learned Prompt
   Jiaqi Liu, Kai Wu, Qiang Nie, Ying Chen, Bin-Bin Gao, Yong Liu, Jinbao Wang, Chengjie Wang, Feng Zheng · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
7. RODEO: Replay for Online Object Detection
   Manoj Acharya, Tyler L. Hayes, Christopher Kanan · 2020 · British Machine Vision Conference (BMVC)
8. Relay Hindsight Experience Replay: Self-guided continual reinforcement learning for sequential object manipulation tasks with sparse rewards
   Yongle Luo, Yuxin Wang, Kun Dong, Qiang Zhang, Erkang Cheng, Zhiyong Sun, Bo Song · 2023 · Neurocomputing
9. Continual Learning by Using Information of Each Class Holistically
   Wenpeng Hu, Qi Qin, Mengyu Wang, Jinwen Ma, Bing Liu · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
10. Bring Evanescent Representations to Life in Lifelong Class Incremental Learning
    Marco Toldo, Mete Özay · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
11. CPR: Classifier-Projection Regularization for Continual Learning
    Sungmin Cha, Hsiang Hsu, Taebaek Hwang, Flávio P. Calmon, Taesup Moon · 2020 · arXiv (Cornell University)
12. Linear Mode Connectivity in Multitask and Continual Learning
    Seyed Iman Mirzadeh, Mehrdad Farajtabar, Dilan Görür, Razvan Pascanu, Hassan G Ghasemzadeh · 2020 · arXiv (Cornell University)
13. Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism
    Binbin Yang, Xinchi Deng, Shi Han, Changlin Li, Gengwei Zhang, Hang Xu, Shen Zhao, Liang Lin, Xiaodan Liang · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
14. Continual Attentive Fusion for Incremental Learning in Semantic Segmentation
    Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Hao Tang, Xavier Alameda-Pineda, Elisa Ricci · 2022 · IEEE Transactions on Multimedia
15. Energy-based Latent Aligner for Incremental Learning
    K J Joseph, Salman Hameed Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, Vineeth Nallure Balasubramanian · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
16. DER: Dynamically Expandable Representation for Class Incremental Learning
    Shipeng Yan, Jiangwei Xie, Xuming He · 2021 · arXiv (Cornell University)
17. A distillation-based approach integrating continual learning and federated learning for pervasive services
    Anastasiia Usmanova, François Portet, Philippe Lalanda, Germán Vega · 2021 · arXiv (Cornell University)
18. Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning
    Danruo Deng, Guangyong Chen, Jianye Hao, Qiong Wang, Pheng‐Ann Heng · 2021 · arXiv (Cornell University)
19. Continually Learning Self-Supervised Representations with Projected Functional Regularization
    Alex Gomez-Villa, Bartłomiej Twardowski, Lu Yu, Andrew D. Bagdanov, Joost van de Weijer · 2021 · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
20. Patch-based Knowledge Distillation for Lifelong Person Re-Identification
    Zhicheng Sun, Yadong Mu · 2022 · ACM International Conference on Multimedia (ACM MM)
21. Continual Learning, Fast and Slow
    Quang Pham, Chenghao Liu, Steven C. H. Hoi · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
22. Adaptive fault diagnosis of machining processes enabled by hybrid deep learning and incremental transfer learning
    Yuchen Liang, Yuqi Wang, Weidong Li, Duc Truong Pham, Jinzhong Lu · 2025 · Computers in Industry
23. Online multimedia traffic classification from the QoS perspective using deep learning
    Zheng Wu, Yuning Dong, Xiaohui Qiu, Jiong Jin · 2022 · Computer Networks
24. Streaming Graph Neural Networks with Generative Replay
    Jun-Shan Wang, Wenhao Zhu, Guojie Song, Liang Wang · 2022 · Knowledge Discovery and Data Mining
25. Knowledge aggregation networks for class incremental learning
    Zhiling Fu, Zhe Wang, Xinlei Xu, Dongdong Li, Hai Yang · 2023 · Pattern Recognition
26. Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection
    Yuyang Liu, Yang Cong, Dipam Goswami, Xialei Liu, Joost van de Weijer · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
27. Continual Learning by Asymmetric Loss Approximation With Single-Side Overestimation
    Dong-Min Park, Seokil Hong, Bohyung Han, Kyoung Mu Lee · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
28. Continual Learning With Structured Inheritance for Semantic Segmentation in Aerial Imagery
    Yingchao Feng, Xian Sun, Wenhui Diao, Jihao Li, Xin Gao, Kun Fu · 2021 · IEEE Transactions on Geoscience and Remote Sensing
29. Dual-Teacher Class-Incremental Learning With Data-Free Generative Replay
    Yoojin Choi, Mostafa El‐Khamy, Jungwon Lee · 2021 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
30. Memory Recall: A Simple Neural Network Training Framework Against Catastrophic Forgetting
    Baosheng Zhang, Yuchen Guo, Yipeng Li, Yuwei He, Haoqian Wang, Qionghai Dai · 2021 · IEEE Transactions on Neural Networks and Learning Systems
31. Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data
    Zhipeng Cai, Ozan Şener, Vladlen Koltun · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
32. Multimodal Continual Graph Learning with Neural Architecture Search
    Jie Cai, Xin Wang, Chaoyu Guan, Yateng Tang, Jin Hua Xu, Bin Zhong, Wenwu Zhu · 2022 · International World Wide Web Conference (WWW)
33. Multi-granularity knowledge distillation and prototype consistency regularization for class-incremental learning
    Yanyan Shi, Dianxi Shi, Ziteng Qiao, Zhen Wang, Yi Zhang, Shaowu Yang, Chunping Qiu · 2023 · Neural Networks
34. Real-Time Evaluation in Online Continual Learning: A New Hope
    Yasir Ghunaim, Adel Bibi, Kumail Alhamoud, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Ameya Prabhu, Philip H. S. Torr, Bernard Ghanem · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
35. VQACL: A Novel Visual Question Answering Continual Learning Setting
    Xi Zhang, Feifei Zhang, Changsheng Xu · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
36. Instance-Level Heterogeneous Domain Adaptation for Limited-Labeled Sketch-to-Photo Retrieval
    Fan Yang, Yang Wu, Zheng Wang, Xiang Li, Sakriani Sakti, Satoshi Nakamura · 2020 · IEEE Transactions on Multimedia
37. Lifelong Language Knowledge Distillation
    Yung-Sung Chuang, Shang‐Yu Su, Yun-Nung Chen · 2020 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
38. Hyper-LifelongGAN: Scalable Lifelong Learning for Image Conditioned Generation
    Mengyao Zhai, Lei Chen, Greg Mori · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
39. Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer
    Arjun Ashok, K J Joseph, Vineeth Nallure Balasubramanian · 2022 · Lecture notes in computer science
40. M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental Learning
    Zhou, Peng, Long Mai, Jianming Zhang, Ning Xu, Zuxuan Wu, Larry Steven Davis · 2019 · arXiv (Cornell University)
41. Class-Incremental Learning for Semantic Segmentation in Aerial Imagery via Distillation in All Aspects
    Lianlei Shan, Weiqiang Wang, Ke Lv, Bin Luo · 2021 · IEEE Transactions on Geoscience and Remote Sensing
42. A New Framework of Swarm Learning Consolidating Knowledge From Multi-Center Non-IID Data for Medical Image Segmentation
    Zheyao Gao, Fuping Wu, Weiguo Gao, Xiahai Zhuang · 2022 · IEEE Transactions on Medical Imaging
43. Towards Continual Egocentric Activity Recognition: A Multi-Modal Egocentric Activity Dataset for Continual Learning
    Linfeng Xu, Qingbo Wu, Lili Pan, Fanman Meng, Hongliang Li, Chiyuan He, Hanxin Wang, Shaoxu Cheng, Yu Dai · 2023 · IEEE Transactions on Multimedia
44. Random Boxes Are Open-world Object Detectors
    Yanghao Wang, Zhongqi Yue, Xian‐Sheng Hua, Hanwang Zhang · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
45. Continual Learning for Smart City: A Survey
    Li Yang, Zhipeng Luo, Shiming Zhang, Fei Teng, Tianrui Li · 2024 · IEEE Transactions on Knowledge and Data Engineering
46. Class-incremental Learning with Pre-allocated Fixed Classifiers
    Federico Pernici, Matteo Bruni, Claudio Baecchi, Francesco Turchini, Alberto Del Bimbo · 2021 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
47. A Bayesian-inspired, deep learning-based, semi-supervised domain adaptation technique for land cover mapping
    Benjamín Lucas, Charlotte Pelletier, Daniel Schmidt, Geoffrey I. Webb, François Petitjean · 2021 · Machine Learning
48. Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations
    Zike Yan, Yuxin Tian, Xuesong Shi, Ping Yi Guo, Peng Wang, Hongbin Zha · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
49. Multi-Task Incremental Learning for Object Detection
    Xialei Liu, Hao Yang, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto · 2020 · arXiv (Cornell University)
50. CKDF: Cascaded Knowledge Distillation Framework for Robust Incremental Learning
    Kunchi Li, Jun Wan, Shan Yu · 2022 · IEEE Transactions on Image Processing
51. CoSCL: Cooperation of Small Continual Learners is Stronger Than a Big One
    Liyuan Wang, Xingxing Zhang, Qian Li, Jun Zhu, Yi Zhong · 2022 · Lecture notes in computer science
52. vCLIMB: A Novel Video Class Incremental Learning Benchmark
    Andres Villa, Kumail Alhamoud, Victor A Escorcia, Fabian Caba Heilbron, Juan León Alcázar, Bernard Ghanem · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
53. Augmented Geometric Distillation for Data-Free Incremental Person ReID
    Yi‐Chen Lu, Mei Wang, Weihong Deng · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
54. Continual learning from demonstration of robotics skills
    Sayantan Auddy, Jakob Hollenstein, Matteo Saveriano, Antonio J. Rodríguez-Sánchez, Justus Piater · 2023 · Robotics and Autonomous Systems
55. Survey of continuous deep learning methods and techniques used for incremental learning
    Justin Leo, Jugal Kumar Kalita · 2024 · Neurocomputing
56. Controlled Forgetting: Targeted Stimulation and Dopaminergic Plasticity Modulation for Unsupervised Lifelong Learning in Spiking Neural Networks
    Jason M. Allred, Kaushik Roy · 2020 · Frontiers in Neuroscience
57. Learn-Prune-Share for Lifelong Learning
    Zifeng Wang, Tong Jian, Kaushik Roy Chowdhury, Yanzhi Wang, Jennifer Dy, Stratis Ioannidis · 2020 · Proceedings
58. Contributions by metaplasticity to solving the Catastrophic Forgetting Problem
    Peter Jedlička, Matúš Tomko, Anthony V. Robins, Wickliffe C. Abraham · 2022 · Trends in Neurosciences
59. Modeling Missing Annotations for Incremental Learning in Object Detection
    Fabio Cermelli, Antonino Geraci, Dario Fontanel, Barbara Caputo B · 2022 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
60. LifeLonger: A Benchmark for Continual Disease Classification
    Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring, Cees G. M. Snoek · 2022 · Lecture notes in computer science
61. Online Continual Learning with Contrastive Vision Transformer
    Zhen Wang, Liu Liu, Yajing Kong, Jiaxian Guo, Dacheng Tao · 2022 · Lecture notes in computer science
62. CRNet: A Fast Continual Learning Framework With Random Theory
    Depeng Li, Zhigang Zeng · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
63. FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge
    Yaxin Luopan, Rui Han, Qinglong Zhang, Chi Harold Liu, Guoren Wang, Lydia Y. Chen · 2023 · IEEE International Conference on Data Engineering (ICDE)
64. Task-Specific Normalization for Continual Learning of Blind Image Quality Models
    Weixia Zhang, Kede Ma, Guangtao Zhai, Xiaokang Yang · 2024 · IEEE Transactions on Image Processing
65. Variational Data-Free Knowledge Distillation for Continual Learning
    Xiaorong Li, Shipeng Wang, Jian Zhong Sun, Zongben Xu · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
66. Continual learning with Bayesian model based on a fixed pre-trained feature extractor
    Yang Yang, Zhiying Cui, Junjie Xu, Changhong Zhong, Wei‐Shi Zheng, Ruixuan Wang · 2023 · Visual Intelligence
67. Budget-Aware Adapters for Multi-Domain Learning
    Rodrigo F. Berriel, Stéphane Lathuilière, Moin Nabi, Tassilo Klein, Thiago Oliveira-Santos, Nicu Sebe, Elisa Ricci · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
68. Continual Learning through Retrieval and Imagination
    Zhen Wang, Liu Liu, Yiqun Duan, Dacheng Tao · 2022 · Proceedings of the AAAI Conference on Artificial Intelligence
69. Symbolic Replay: Scene Graph as Prompt for Continual Learning on VQA Task
    Stan Weixian Lei, Difei Gao, Jay Zhangjie Wu, Yuxuan Wang, Wei Liu, Mengmi Zhang, Mike Zheng Shou · 2023 · Proceedings of the AAAI Conference on Artificial Intelligence
70. Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping
    Prakhar Kaushik, Alex Gain, Adam Kortylewski, Alan Yuille · 2021 · arXiv (Cornell University)
71. LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5
    Chengwei Qin, Shafiq Joty · 2021 · arXiv (Cornell University)
72. Contrastive Correlation Preserving Replay for Online Continual Learning
    Dan-Ping Yu, Mingyi Zhang, Mantian Li, Fusheng Zha, Junge Zhang, Lining Sun, Kaiqi Huang · 2023 · IEEE Transactions on Circuits and Systems for Video Technology
73. Overcoming Catastrophic Forgetting in Continual Learning by Exploring Eigenvalues of Hessian Matrix
    Yajing Kong, Liu Liu, Huanhuan Chen, Janusz Kacprzyk, Dacheng Tao · 2023 · IEEE Transactions on Neural Networks and Learning Systems
74. Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning
    Jiangrong Shen, Wenyao Ni, Qi Xu, Huajin Tang · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
75. Generalized Class Incremental Learning
    Fei Mi, Lingjing Kong, Tao Lin, Kaicheng Yu, Boi V. Faltings · 2020 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
76. Adaptive Orthogonal Projection for Batch and Online Continual Learning
    Yiduo Guo, Wenpeng Hu, Dongyan Zhao, Bing Liu · 2022 · Proceedings of the AAAI Conference on Artificial Intelligence
77. Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference
    Hyunseo Koh, Dahyun Kim, Jung-Woo Ha, Jonghyun Choi · 2021 · arXiv (Cornell University)
78. Balancing Stability and Plasticity Through Advanced Null Space in Continual Learning
    Yajing Kong, Liu Liu, Zhen Wang, Dacheng Tao · 2022 · Lecture notes in computer science
79. Contextual Transformation Networks for Online Continual Learning
    Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi · 2021 · Singapore Management University Institutional Knowledge (InK) (Singapore Management University)
80. In Defense of the Learning Without Forgetting for Task Incremental Learning
    Guy Oren, Lior Wolf · 2021 · IEEE International Conference on Computer Vision Workshops
81. Self-Paced Weight Consolidation for Continual Learning
    Wei Wei Cong, Yang Cong, Gan Sun, Yuyang Liu, Jiahua Dong · 2023 · IEEE Transactions on Circuits and Systems for Video Technology
82. Multi-Domain Incremental Learning for Face Presentation Attack Detection
    Keyao Wang, Guosheng Zhang, Haixiao Yue, Ajian Liu, Gang Zhang, Haocheng Feng, Junyu Han, Errui Ding, Jingdong Wang · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
83. Analogical Learning-Based Few-Shot Class-Incremental Learning
    Jiashuo Li, Songlin Dong, Yihong Gong, Yuhang He, Xing Wei · 2024 · IEEE Transactions on Circuits and Systems for Video Technology
84. Continual Learning for Class- and Domain-Incremental Semantic Segmentation
    Tobias Kalb, Masoud Roschani, Miriam Ruf, Jürgen Beyerer · 2021 · IEEE Intelligent Vehicles Symposium
85. Universal Representations: A Unified Look at Multiple Task and Domain Learning
    Weihong Li, Xialei Liu, Hakan Bilen · 2023 · International Journal of Computer Vision
86. CTP: Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation
    Hongguang Zhu, Yunchao Wei, Xiaodan Liang, Chunjie Zhang, Yao Zhao · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
87. Federated probability memory recall for federated continual learning
    Zhe Wang, Yu Zhang, Xinlei Xu, Zhiling Fu, Hai Yang, Wenli Du · 2023 · Information Sciences
88. Gradient-Semantic Compensation for Incremental Semantic Segmentation
    Wei Wei Cong, Yang Cong, Jiahua Dong, Gan Sun, Henghui Ding · 2023 · IEEE Transactions on Multimedia
89. Marginal Replay vs Conditional Replay for Continual Learning
    Timothée Lesort, Alexander Gepperth, Andrei Stoian, David Filliat · 2019 · Lecture notes in computer science
90. Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open Problem
    Matthias De Lange, Xu Jia, Sarah Parisot, Aleš Leonardis, Greg Slabaugh, Tinne Tuytelaars · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
91. Continual Learning for Image-Based Camera Localization
    Shuzhe Wang, Zakaria Laskar, Iaroslav Melekhov, Xiaotian Li, Juho Kannala · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
92. Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans
    Zhanghexuan Ji, Dazhou Guo, Puyang Wang, Ke Yan, Le Lü, Minfeng Xu, Qifeng Wang, Jia Ge, Mingchen Gao, Xianghua Ye et al. · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
93. Optimizing Reusable Knowledge for Continual Learning via Metalearning
    Julio Hurtado, Alain Raymond-Sáez, Álvaro Soto · 2021 · arXiv (Cornell University)
94. Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning
    Yao, Xin, Huang, Tianchi, Wu, Chenglei, Zhang, Rui-Xiao, Sun, Lifeng · 2019 · Neural Computation
95. Sparsified Subgraph Memory for Continual Graph Representation Learning
    Xikun Zhang, Dongjin Song, Dacheng Tao · 2022 · Proceedings
96. Do Pre-trained Models Benefit Equally in Continual Learning?
    Kuan-Ying Lee, Yuanyi Zhong, Yu-Xiong Wang · 2023 · IEEE Winter Conference on Applications of Computer Vision
97. Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning
    Zhuowei Li, Long Zhao, Zizhao Zhang, Han Zhang, Di Liu, Ting Liu, Dimitris Metaxas · 2024 · IEEE Winter Conference on Applications of Computer Vision
98. One-for-More: Continual Diffusion Model for Anomaly Detection
    Xiaofan Li, Xin Tan, Zhuo Chen, Zhizhong Zhang, Rui-Xin Zhang, Rizen Guo, Guanna Jiang, Yulong Chen, Yanyun Qu, Lizhuang Ma et al. · 2025 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
99. Do not Forget to Attend to Uncertainty while Mitigating Catastrophic Forgetting
    Vinod K Kurmi, Badri N. Patro, Venkatesh K. Subramanian, Vinay P. Namboodiri · 2021 · IEEE Winter Conference on Applications of Computer Vision
100. Ternary Feature Masks: zero-forgetting for task-incremental learning
     Marc Masana, Tinne Tuytelaars, Joost van de Weijer · 2021 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)