Exemplar-Free Continual Learning for State Space Models

24 May 2025

Papers citing "Exemplar-Free Continual Learning for State Space Models"

34 / 34 papers shown

Title
VMamba: Visual State Space Model Yue Liu Yunjie Tian Yuzhong Zhao Hongtian Yu Lingxi Xie Yaowei Wang Qixiang Ye Jianbin Jiao Yunfan Liu Mamba 201 666 0 31 Dec 2024
Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning De Cheng Yue Lu Lingfeng He Shizhou Zhang Xi Yang N. Wang Xinbo Gao Mamba CLL 73 1 0 23 Nov 2024
Exemplar-free Continual Representation Learning via Learnable Drift Compensation Alex Gomez-Villa Dipam Goswami Kai Wang Andrew D. Bagdanov Bartlomiej Twardowski Joost van de Weijer CLL SSL 44 10 0 11 Jul 2024
MambaVision: A Hybrid Mamba-Transformer Vision Backbone Ali Hatamizadeh Jan Kautz Mamba 84 66 0 10 Jul 2024
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning Xiaojie Li Yibo Yang Jianlong Wu Guohao Li Liqiang Nie Min Zhang Mamba 55 6 0 08 Jul 2024
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality Tri Dao Albert Gu Mamba 49 465 0 31 May 2024
InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning Yan-Shuo Liang Wu-Jun Li CLL 52 45 0 30 Mar 2024
DiffClass: Diffusion-Based Class Incremental Learning Zichong Meng Jie Zhang Changdi Yang Zheng Zhan Pu Zhao Yanzhi Wang DiffM CLL 56 15 0 08 Mar 2024
Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning Simone Magistri Tomaso Trinci Albin Soutif--Cormerais Joost van de Weijer Andrew D. Bagdanov 61 21 0 06 Feb 2024
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model Lianghui Zhu Bencheng Liao Qian Zhang Xinlong Wang Wenyu Liu Xinggang Wang Mamba 66 736 0 17 Jan 2024
Mamba: Linear-Time Sequence Modeling with Selective State Spaces Albert Gu Tri Dao Mamba 66 2,552 0 01 Dec 2023
A Comprehensive Survey of Continual Learning: Theory, Method and Application Liyuan Wang Xingxing Zhang Hang Su Jun Zhu KELM CLL 107 643 0 31 Jan 2023
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning Grégoire Petit Adrian Daniel Popescu Hugo Schindler David Picard Bertrand Delezoide CLL 65 118 0 23 Nov 2022
On the Parameterization and Initialization of Diagonal State Space Models Albert Gu Ankit Gupta Karan Goel Christopher Ré 51 308 0 23 Jun 2022
Diagonal State Spaces are as Effective as Structured State Spaces Ankit Gupta Albert Gu Jonathan Berant 88 296 0 27 Mar 2022
Class-Incremental Continual Learning into the eXtended DER-verse Matteo Boschini Lorenzo Bonicelli Pietro Buzzega Angelo Porrello Simone Calderara CLL BDL 49 136 0 03 Jan 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 63 757 0 16 Dec 2021
Efficiently Modeling Long Sequences with Structured State Spaces Albert Gu Karan Goel Christopher Ré 162 1,719 0 31 Oct 2021
How do Quadratic Regularizers Prevent Catastrophic Forgetting: The Role of Interpolation Ekdeep Singh Lubana Puja Trivedi Danai Koutra Robert P. Dick 48 13 0 04 Feb 2021
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 D. Song Jacob Steinhardt Justin Gilmer OOD 254 1,715 0 29 Jun 2020
Dark Experience for General Continual Learning: a Strong, Simple Baseline Pietro Buzzega Matteo Boschini Angelo Porrello Davide Abati Simone Calderara BDL CLL 52 901 0 15 Apr 2020
Memory-Efficient Incremental Learning Through Feature Adaptation Ahmet Iscen Jeffrey O. Zhang Svetlana Lazebnik Cordelia Schmid CLL VLM 25 159 0 01 Apr 2020
Similarity of Neural Network Representations Revisited Simon Kornblith Mohammad Norouzi Honglak Lee Geoffrey E. Hinton 122 1,382 0 01 May 2019
Three scenarios for continual learning Gido M. van de Ven A. Tolias CLL 53 881 0 15 Apr 2019
Learning without Memorizing Prithviraj Dhar Rajat Vikram Singh Kuan-Chuan Peng Ziyan Wu Rama Chellappa CLL 62 476 0 20 Nov 2018
Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines Yen-Chang Hsu Yen-Cheng Liu Anita Ramasamy Z. Kira CLL ELM 50 353 0 30 Oct 2018
Continual Lifelong Learning with Neural Networks: A Review G. I. Parisi Ronald Kemker Jose L. Part Christopher Kanan S. Wermter KELM CLL 121 2,854 0 21 Feb 2018
Memory Aware Synapses: Learning what (not) to forget Rahaf Aljundi F. Babiloni Mohamed Elhoseiny Marcus Rohrbach Tinne Tuytelaars KELM CLL 71 1,613 0 27 Nov 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 435 129,831 0 12 Jun 2017
Continual Learning with Deep Generative Replay Hanul Shin Jung Kwon Lee Jaehong Kim Jiwon Kim KELM CLL 67 2,051 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 260 7,410 0 02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 91 3,713 0 23 Nov 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 241 4,357 0 29 Jun 2016
Revisiting Natural Gradient for Deep Networks Razvan Pascanu Yoshua Bengio ODL 90 388 0 16 Jan 2013