KAC: Kolmogorov-Arnold Classifier for Continual Learning

27 March 2025

Papers citing "KAC: Kolmogorov-Arnold Classifier for Continual Learning"

41 / 41 papers shown

Title
Improving Memory Efficiency for Training KANs via Meta Learning Zhangchi Zhao Jun Shu Deyu Meng Zongben Xu 17 0 0 09 Jun 2025
KAN-ODEs: Kolmogorov-Arnold Network Ordinary Differential Equations for Learning Dynamical Systems and Hidden Physics Benjamin C. Koenig Suyong Kim Sili Deng 142 63 0 05 Jul 2024
Finite basis Kolmogorov-Arnold networks: domain decomposition for data-driven and physics-informed problems Amanda A. Howard Bruno Jacob Sarah H. Murphy Alexander Heinlein P. Stinis AI4CE 128 28 0 28 Jun 2024
KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning Roman Bresson Giannis Nikolentzos G. Panagopoulos Michail Chatzianastasis Jun Pang Michalis Vazirgiannis 172 51 0 26 Jun 2024
Kolmogorov-Arnold Graph Neural Networks Gianluca De Carlo Andrea Mastropietro Aris Anagnostopoulos 96 28 0 26 Jun 2024
fKAN: Fractional Kolmogorov-Arnold Networks with trainable Jacobi basis functions Alireza Afzal Aghaei 79 51 0 11 Jun 2024
Wav-KAN: Wavelet Kolmogorov-Arnold Networks Zavareh Bozorgasl Hao Chen 115 115 0 21 May 2024
TKAN: Temporal Kolmogorov-Arnold Networks Remi Genet Hugo Inzirillo AI4TS AI4CE 81 83 0 12 May 2024
Kolmogorov-Arnold Networks are Radial Basis Function Networks Ziyao Li 112 80 0 10 May 2024
KAN: Kolmogorov-Arnold Networks Ziming Liu Yixuan Wang Sachin Vaidya Fabian Ruehle James Halverson Marin Soljacic Thomas Y. Hou Max Tegmark 307 587 0 30 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
Consistent Prompting for Rehearsal-Free Continual Learning Zhanxin Gao Jun Cen Xiaobin Chang VLM CLL 82 29 0 13 Mar 2024
SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection Junsu Kim Hoseong Cho Jihyeon Kim Yihalem Yimolal Tiruneh Seungryul Baek DiffM 134 21 0 27 Feb 2024
Deep Neural Networks and Finite Elements of Any Order on Arbitrary Dimensions Juncai He Jinchao Xu 117 8 0 21 Dec 2023
Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality Liyuan Wang Jingyi Xie Xingxing Zhang Mingyi Huang Hang Su Jun Zhu CLL 95 93 0 11 Oct 2023
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning Dipam Goswami Yuyang Liu Bartlomiej Twardowski Joost van de Weijer CLL 91 61 0 25 Sep 2023
Dynamic Residual Classifier for Class Incremental Learning Xiu-yan Chen Xiaobin Chang 82 18 0 25 Aug 2023
On the Optimal Expressive Power of ReLU DNNs and Its Application in Approximation with Kolmogorov Superposition Theorem Juncai He 96 11 0 10 Aug 2023
Cross-Class Feature Augmentation for Class Incremental Learning Taehoon Kim Jaeyoo Park Bohyung Han CLL 57 5 0 04 Apr 2023
A Unified Continual Learning Framework with General Parameter-Efficient Tuning Qiankun Gao Chen Zhao Yifan Sun Teng Xi Gang Zhang Guohao Li Shuai Liu CLL 121 98 0 17 Mar 2023
SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model Gengwei Zhang Liyuan Wang Guoliang Kang Ling-Hao Chen Yunchao Wei CLL 88 119 0 09 Mar 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 106 299 0 23 Nov 2022
Long-Tailed Class Incremental Learning Xialei Liu Yu-Song Hu Xuezhi Cao Andrew D. Bagdanov Ke Li Mingg-Ming Cheng CLL 127 37 0 01 Oct 2022
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning Yabin Wang Zhiwu Huang Xiaopeng Hong CLL VLM 128 226 0 26 Jul 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
Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation Minsoo Kang Jaeyoo Park Bohyung Han CLL 103 188 0 02 Apr 2022
Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation Guanglei Yang Enrico Fini Dan Xu Paolo Rota Mingli Ding Moin Nabi Xavier Alameda-Pineda Elisa Ricci CLL 76 67 0 26 Mar 2022
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
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion Arthur Douillard Alexandre Ramé Guillaume Couairon Matthieu Cord CLL 149 313 0 22 Nov 2021
A Comprehensive Study of Class Incremental Learning Algorithms for Visual Tasks Eden Belouadah Adrian Daniel Popescu Ioannis Kanellos CLL 87 220 0 03 Nov 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 390 1,760 0 29 Jun 2020
Semantic Drift Compensation for Class-Incremental Learning Lu Yu Bartlomiej Twardowski Xialei Liu Luis Herranz Kai Wang Yongmei Cheng Shangling Jui Joost van de Weijer CLL 95 345 0 01 Apr 2020
Error bounds for deep ReLU networks using the Kolmogorov--Arnold superposition theorem Hadrien Montanelli Haizhao Yang 70 92 0 27 Jun 2019
Moment Matching for Multi-Source Domain Adaptation Xingchao Peng Qinxun Bai Xide Xia Zijun Huang Kate Saenko Bo Wang OOD 156 1,813 0 04 Dec 2018
Continual Lifelong Learning with Neural Networks: A Review G. I. Parisi Ronald Kemker Jose L. Part Christopher Kanan S. Wermter KELM CLL 261 2,911 0 21 Feb 2018
Continual Learning with Deep Generative Replay Hanul Shin Jung Kwon Lee Jaehong Kim Jiwon Kim KELM CLL 91 2,092 0 24 May 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 381 7,616 0 02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 199 3,792 0 23 Nov 2016
Why does deep and cheap learning work so well? Henry W. Lin Max Tegmark David Rolnick 131 610 0 29 Aug 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 327 4,455 0 29 Jun 2016
Additive Gaussian Processes David Duvenaud H. Nickisch C. Rasmussen GP 132 331 0 19 Dec 2011