Journal articles on the topic 'Class-incremental learning'
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Kim, Taehoon, Jaeyoo Park, and Bohyung Han. "Cross-Class Feature Augmentation for Class Incremental Learning." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 12 (March 24, 2024): 13168–76. http://dx.doi.org/10.1609/aaai.v38i12.29216.
Full textPark, Ju-Youn, and Jong-Hwan Kim. "Incremental Class Learning for Hierarchical Classification." IEEE Transactions on Cybernetics 50, no. 1 (January 2020): 178–89. http://dx.doi.org/10.1109/tcyb.2018.2866869.
Full textQin, Yuping, Hamid Reza Karimi, Dan Li, Shuxian Lun, and Aihua Zhang. "A Mahalanobis Hyperellipsoidal Learning Machine Class Incremental Learning Algorithm." Abstract and Applied Analysis 2014 (2014): 1–5. http://dx.doi.org/10.1155/2014/894246.
Full textPang, Shaoning, Lei Zhu, Gang Chen, Abdolhossein Sarrafzadeh, Tao Ban, and Daisuke Inoue. "Dynamic class imbalance learning for incremental LPSVM." Neural Networks 44 (August 2013): 87–100. http://dx.doi.org/10.1016/j.neunet.2013.02.007.
Full textLiu, Yaoyao, Yingying Li, Bernt Schiele, and Qianru Sun. "Online Hyperparameter Optimization for Class-Incremental Learning." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 7 (June 26, 2023): 8906–13. http://dx.doi.org/10.1609/aaai.v37i7.26070.
Full textZhang, Lijuan, Xiaokang Yang, Kai Zhang, Yong Li, Fu Li, Jun Li, and Dongming Li. "Class-Incremental Learning Based on Anomaly Detection." IEEE Access 11 (2023): 69423–38. http://dx.doi.org/10.1109/access.2023.3293524.
Full textLiang, Sen, Kai Zhu, Wei Zhai, Zhiheng Liu, and Yang Cao. "Hypercorrelation Evolution for Video Class-Incremental Learning." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 4 (March 24, 2024): 3315–23. http://dx.doi.org/10.1609/aaai.v38i4.28117.
Full textXu, Shixiong, Gaofeng Meng, Xing Nie, Bolin Ni, Bin Fan, and Shiming Xiang. "Defying Imbalanced Forgetting in Class Incremental Learning." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 14 (March 24, 2024): 16211–19. http://dx.doi.org/10.1609/aaai.v38i14.29555.
Full textGuo, Jiaqi, Guanqiu Qi, Shuiqing Xie, and Xiangyuan Li. "Two-Branch Attention Learning for Fine-Grained Class Incremental Learning." Electronics 10, no. 23 (December 1, 2021): 2987. http://dx.doi.org/10.3390/electronics10232987.
Full textQin, Zhili, Wei Han, Jiaming Liu, Rui Zhang, Qingli Yang, Zejun Sun, and Junming Shao. "Rethinking few-shot class-incremental learning: A lazy learning baseline." Expert Systems with Applications 250 (September 2024): 123848. http://dx.doi.org/10.1016/j.eswa.2024.123848.
Full textDong, Na, Yongqiang Zhang, Mingli Ding, and Gim Hee Lee. "Incremental-DETR: Incremental Few-Shot Object Detection via Self-Supervised Learning." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 1 (June 26, 2023): 543–51. http://dx.doi.org/10.1609/aaai.v37i1.25129.
Full textWang, Ruixiang, Yong Luo, Yitao Ren, and Keming Mao. "Discrimination Correction and Balance for Class-Incremental Learning." Journal of Physics: Conference Series 2347, no. 1 (September 1, 2022): 012024. http://dx.doi.org/10.1088/1742-6596/2347/1/012024.
Full textDong, Qi, Shaogang Gong, and Xiatian Zhu. "Imbalanced Deep Learning by Minority Class Incremental Rectification." IEEE Transactions on Pattern Analysis and Machine Intelligence 41, no. 6 (June 1, 2019): 1367–81. http://dx.doi.org/10.1109/tpami.2018.2832629.
Full textGuo, Lei, Gang Xie, Xinying Xu, and Jinchang Ren. "Exemplar-Supported Representation for Effective Class-Incremental Learning." IEEE Access 8 (2020): 51276–84. http://dx.doi.org/10.1109/access.2020.2980386.
Full textGuan, Sheng-Uei, Chunyu Bao, and Ru-Tian Sun. "Hierarchical Incremental Class Learning with Reduced Pattern Training." Neural Processing Letters 24, no. 2 (September 20, 2006): 163–77. http://dx.doi.org/10.1007/s11063-006-9019-4.
Full textPalit, Sanchar, Biplab Banerjee, and Subhasis Chaudhuri. "Prototypical Quadruplet for Few-Shot Class Incremental Learning." Procedia Computer Science 222 (2023): 25–34. http://dx.doi.org/10.1016/j.procs.2023.08.141.
Full textTian, Songsong, Lusi Li, Weijun Li, Hang Ran, Xin Ning, and Prayag Tiwari. "A survey on few-shot class-incremental learning." Neural Networks 169 (January 2024): 307–24. http://dx.doi.org/10.1016/j.neunet.2023.10.039.
Full textShen, Mingge, Dehu Chen, Silan Hu, and Gang Xu. "Class incremental learning of remote sensing images based on class similarity distillation." PeerJ Computer Science 9 (September 27, 2023): e1583. http://dx.doi.org/10.7717/peerj-cs.1583.
Full textChen, Xinzhe, and Hong Liang. "An Optimized Class Incremental Learning Network with Dynamic Backbone Based on Sonar Images." Journal of Marine Science and Engineering 11, no. 9 (September 12, 2023): 1781. http://dx.doi.org/10.3390/jmse11091781.
Full textDong, Songlin, Xiaopeng Hong, Xiaoyu Tao, Xinyuan Chang, Xing Wei, and Yihong Gong. "Few-Shot Class-Incremental Learning via Relation Knowledge Distillation." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 2 (May 18, 2021): 1255–63. http://dx.doi.org/10.1609/aaai.v35i2.16213.
Full textXU, XIN, and WEI WANG. "AN INCREMENTAL GRAY RELATIONAL ANALYSIS ALGORITHM FOR MULTI-CLASS CLASSIFICATION AND OUTLIER DETECTION." International Journal of Pattern Recognition and Artificial Intelligence 26, no. 06 (September 2012): 1250011. http://dx.doi.org/10.1142/s0218001412500115.
Full textYao, Chengfei, Jie Zou, Yanan Luo, Tao Li, and Gang Bai. "A Class-Incremental Learning Method Based on One Class Support Vector Machine." Journal of Physics: Conference Series 1267 (July 2019): 012007. http://dx.doi.org/10.1088/1742-6596/1267/1/012007.
Full textShim, Dongsub, Zheda Mai, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, and Jongseong Jang. "Online Class-Incremental Continual Learning with Adversarial Shapley Value." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 11 (May 18, 2021): 9630–38. http://dx.doi.org/10.1609/aaai.v35i11.17159.
Full textShevchyk, Anja, Rui Hu, Kevin Thandiackal, Michael Heizmann, and Thomas Brunschwiler. "Privacy preserving synthetic respiratory sounds for class incremental learning." Smart Health 23 (March 2022): 100232. http://dx.doi.org/10.1016/j.smhl.2021.100232.
Full textSancho, José-Luis, William E. Pierson, Batu Ulug, Anı́bal R. Figueiras-Vidal, and Stanley C. Ahalt. "Class separability estimation and incremental learning using boundary methods." Neurocomputing 35, no. 1-4 (November 2000): 3–26. http://dx.doi.org/10.1016/s0925-2312(00)00293-9.
Full textZhao, Zhongtang, Zhenyu Chen, Yiqiang Chen, Shuangquan Wang, and Hongan Wang. "A Class Incremental Extreme Learning Machine for Activity Recognition." Cognitive Computation 6, no. 3 (April 3, 2014): 423–31. http://dx.doi.org/10.1007/s12559-014-9259-y.
Full textZhou, Yanzhao, Binghao Liu, Yiran Liu, and Jianbin Jiao. "Filter Bank Networks for Few-Shot Class-Incremental Learning." Computer Modeling in Engineering & Sciences 137, no. 1 (2023): 647–68. http://dx.doi.org/10.32604/cmes.2023.026745.
Full textZajdel, Roman. "Epoch-incremental reinforcement learning algorithms." International Journal of Applied Mathematics and Computer Science 23, no. 3 (September 1, 2013): 623–35. http://dx.doi.org/10.2478/amcs-2013-0047.
Full textChountas, Panagiotis, Mustafa Hajmohammed, and Ismael Rhemat. "On OWA, Machine Learning and Big Data: The case for IFS over universes." Notes on Intuitionistic Fuzzy Sets 30, no. 2 (July 1, 2024): 113–20. http://dx.doi.org/10.7546/nifs.2024.30.2.113-120.
Full textCHEN, Xinzhe, Hong LIANG, and Weiyu XU. "Research on a class-incremental learning method based on sonar images." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 41, no. 2 (April 2023): 303–9. http://dx.doi.org/10.1051/jnwpu/20234120303.
Full textSagar, K. Manoj. "MultiClass Text Classification Using Support Vector Machine." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 12 (December 1, 2023): 1–10. http://dx.doi.org/10.55041/ijsrem27465.
Full textWu, Yanan, Tengfei Liang, Songhe Feng, Yi Jin, Gengyu Lyu, Haojun Fei, and Yang Wang. "MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental Learning." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 9 (June 26, 2023): 10408–16. http://dx.doi.org/10.1609/aaai.v37i9.26238.
Full textWang, Ye, Yaxiong Wang, Guoshuai Zhao, and Xueming Qian. "Learning to complement: Relation complementation network for few-shot class-incremental learning." Knowledge-Based Systems 282 (December 2023): 111130. http://dx.doi.org/10.1016/j.knosys.2023.111130.
Full textRan, Hang, Weijun Li, Lusi Li, Songsong Tian, Xin Ning, and Prayag Tiwari. "Learning optimal inter-class margin adaptively for few-shot class-incremental learning via neural collapse-based meta-learning." Information Processing & Management 61, no. 3 (May 2024): 103664. http://dx.doi.org/10.1016/j.ipm.2024.103664.
Full textGu, Ziqi, Zihan Lu, Cao Han, and Chunyan Xu. "Few Shot Class Incremental Learning via Grassmann Manifold and Information Entropy." Electronics 12, no. 21 (November 2, 2023): 4511. http://dx.doi.org/10.3390/electronics12214511.
Full textWei, Kun, Cheng Deng, Xu Yang, and Maosen Li. "Incremental Embedding Learning via Zero-Shot Translation." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 11 (May 18, 2021): 10254–62. http://dx.doi.org/10.1609/aaai.v35i11.17229.
Full textChen, Guangyao, Peixi Peng, Yangru Huang, Mengyue Geng, and Yonghong Tian. "Adaptive Discovering and Merging for Incremental Novel Class Discovery." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 10 (March 24, 2024): 11276–84. http://dx.doi.org/10.1609/aaai.v38i10.29006.
Full textWang, Dong, and Shi Huan Xiong. "An Algorithm of Incremental Bayesian Classifier Based on K-Nearest Neighbor." Advanced Materials Research 403-408 (November 2011): 1455–59. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.1455.
Full textHuang, Libo, Yan Zeng, Chuanguang Yang, Zhulin An, Boyu Diao, and Yongjun Xu. "eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 11 (March 24, 2024): 12591–99. http://dx.doi.org/10.1609/aaai.v38i11.29153.
Full textCui, Bo, Guyue Hu, and Shan Yu. "DeepCollaboration: Collaborative Generative and Discriminative Models for Class Incremental Learning." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 2 (May 18, 2021): 1175–83. http://dx.doi.org/10.1609/aaai.v35i2.16204.
Full textLi, Depeng, Tianqi Wang, Junwei Chen, Kenji Kawaguchi, Cheng Lian, and Zhigang Zeng. "Multi-view class incremental learning." Information Fusion, September 2023, 102021. http://dx.doi.org/10.1016/j.inffus.2023.102021.
Full textQiu, Zihuan, Linfeng Xu, Zhichuan Wang, Qingbo Wu, Fanman Meng, and Hongliang Li. "ISM-Net: Mining incremental semantics for class incremental learning." Neurocomputing, December 2022. http://dx.doi.org/10.1016/j.neucom.2022.12.029.
Full textQiu, Zihuan, Linfeng Xu, Zhichuan Wang, Qingbo Wu, Fanman Meng, and Hongliang Li. "Ism-Net: Mining Incremental Semantics for Class Incremental Learning." SSRN Electronic Journal, 2022. http://dx.doi.org/10.2139/ssrn.4179872.
Full textLiu, Hao, Zhaoyu Yan, Bing Liu, Jiaqi Zhao, Yong Zhou, and Abdulmotaleb El Saddik. "Distilled Meta-Learning for Multi-Class Incremental Learning." ACM Transactions on Multimedia Computing, Communications, and Applications, January 17, 2023. http://dx.doi.org/10.1145/3576045.
Full textMazumder, Pratik, Mohammed Asad Karim, Indu Joshi, and Pravendra Singh. "Leveraging joint incremental learning objective with data ensemble for class incremental learning." Neural Networks, January 2023. http://dx.doi.org/10.1016/j.neunet.2023.01.017.
Full textYang, Yang, Zhen-Qiang Sun, Hengshu Zhu, Yanjie Fu, Yuanchun Zhou, Hui Xiong, and Jian Yang. "Learning Adaptive Embedding Considering Incremental Class." IEEE Transactions on Knowledge and Data Engineering, 2021, 1. http://dx.doi.org/10.1109/tkde.2021.3109131.
Full textWang, Shaokun, Weiwei Shi, Songlin Dong, Xinyuan Gao, Xiang Song, and Yihong Gong. "Semantic Knowledge Guided Class-Incremental Learning." IEEE Transactions on Circuits and Systems for Video Technology, 2023, 1. http://dx.doi.org/10.1109/tcsvt.2023.3262739.
Full textSun, Zhenfeng, Rui Feng, and Yanwei Fu. "Class-Incremental Generalized Zero-Shot Learning." Multimedia Tools and Applications, August 3, 2023. http://dx.doi.org/10.1007/s11042-023-16316-7.
Full textXiao, Jue, XueMing Tang, and SongFeng Lu. "Privacy-Preserving Federated Class-Incremental Learning." IEEE Transactions on Machine Learning in Communications and Networking, 2023, 1. http://dx.doi.org/10.1109/tmlcn.2023.3344074.
Full textLi, Jiashuo, Songlin Dong, Yihong Gong, Yuhang He, and Xing Wei. "Analogical Learning-Based Few-Shot Class-Incremental Learning." IEEE Transactions on Circuits and Systems for Video Technology, 2024, 1. http://dx.doi.org/10.1109/tcsvt.2024.3350913.
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