RanPAC: Random Projections and Pre-trained Models for Continual Learning

5 July 2023

Papers citing "RanPAC: Random Projections and Pre-trained Models for Continual Learning"

39 / 39 papers shown

Title
DUKAE: DUal-level Knowledge Accumulation and Ensemble for Pre-Trained Model-Based Continual Learning Songze Li Tonghua Su Xu-Yao Zhang Qixing Xu Zhongjie Wang CLL 124 0 0 09 Apr 2025
ProtoGuard-guided PROPEL: Class-Aware Prototype Enhancement and Progressive Labeling for Incremental 3D Point Cloud Segmentation Haoyang Li Yuecong Xu Junjie Chen Kemi Ding 3DPC CLL 104 0 0 02 Apr 2025
CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained Models Shengzhuang Chen Yikai Liao Xiaoxiao Sun Kede Ma Ying Wei 104 0 0 06 Mar 2025
Achieving Upper Bound Accuracy of Joint Training in Continual Learning Saleh Momeni Bing Liu CLL 139 1 0 17 Feb 2025
IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition George Karantaidis Athanasios Pantsios Y. Kompatsiaris Symeon Papadopoulos CLL 113 1 0 20 Jan 2025
Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model RunQing Wu Fei Ye QiHe Liu Guoxi Huang Jinyu Guo Rongyao Hu CLL 364 0 0 15 Jan 2025
TinySubNets: An efficient and low capacity continual learning strategy Marcin Pietroñ Kamil Faber Dominik Zurek Roberto Corizzo 123 0 0 14 Dec 2024
Adaptive Rank, Reduced Forgetting: Knowledge Retention in Continual Learning Vision-Language Models with Dynamic Rank-Selective LoRA Haodong Lu Chongyang Zhao Jason Xue Lina Yao Kristen Moore Dong Gong CLL KELM VLM 146 7 0 01 Dec 2024
Integrating Dual Prototypes for Task-Wise Adaption in Pre-Trained Model-Based Class-Incremental Learning Zhiming Xu Steve Yang Baile Xu Jian Zhao Furao Shen CLL 151 0 0 26 Nov 2024
CASA: Class-Agnostic Shared Attributes in Vision-Language Models for Efficient Incremental Object Detection Mingyi Guo Yuyang Liu Zongying Lin Peixi Peng Yonghong Tian Yonghong Tian VLM 67 0 0 08 Oct 2024
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning Da-Wei Zhou Zi-Wen Cai Han-Jia Ye Lijun Zhang De-Chuan Zhan CLL AI4CE 149 2 0 01 Oct 2024
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning Liyuan Wang Jingyi Xie Xingxing Zhang Hang Su Jun Zhu CLL 68 6 0 07 Jul 2024
UCIL: An Unsupervised Class Incremental Learning Approach for Sound Event Detection Yang Xiao Rohan Kumar Das 93 4 0 04 Jul 2024
Mixture of Experts Meets Prompt-Based Continual Learning Minh Le An Nguyen Huy Nguyen Trang Nguyen Trang Pham L. Ngo Nhat Ho CLL 86 12 0 23 May 2024
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning Huiyi Wang Haodong Lu Lina Yao Dong Gong KELM CLL 81 11 0 27 Mar 2024
Hyperparameters in Continual Learning: A Reality Check Sungmin Cha Kyunghyun Cho CLL 87 4 0 14 Mar 2024
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox Hai-Long Sun Da-Wei Zhou Han-Jia Ye De-Chuan Zhan CLL 181 30 0 13 Sep 2023
First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning A. Panos Yuriko Kobe Daniel Olmeda Reino Rahaf Aljundi Richard Turner CLL 124 43 0 23 Mar 2023
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning Dongze Lian Daquan Zhou Jiashi Feng Xinchao Wang 71 257 0 17 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 94 220 0 26 Jul 2022
Don't Stop Learning: Towards Continual Learning for the CLIP Model Yuxuan Ding Lingqiao Liu Chunna Tian Jingyuan Yang Haoxuan Ding CLL VLM KELM 43 54 0 19 Jul 2022
Benchmarking Omni-Vision Representation through the Lens of Visual Realms Yuanhan Zhang Zhen-fei Yin Jing Shao Ziwei Liu VLM 78 27 0 14 Jul 2022
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification Aliaksandra Shysheya J. Bronskill Massimiliano Patacchiola Sebastian Nowozin Richard Turner 3DH FedML 68 28 0 17 Jun 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 102 488 0 10 Apr 2022
A Closer Look at Rehearsal-Free Continual Learning James Smith Junjiao Tian Shaunak Halbe Yen-Chang Hsu Z. Kira VLM CLL 79 63 0 31 Mar 2022
Visual Prompt Tuning Menglin Jia Luming Tang Bor-Chun Chen Claire Cardie Serge Belongie Bharath Hariharan Ser-Nam Lim VLM VPVLM 136 1,615 0 23 Mar 2022
Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning Dong Gong Qingsen Yan Yuhang Liu Anton Van Den Hengel Javen Qinfeng Shi CLL BDL 57 39 0 21 Feb 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 84 769 0 16 Dec 2021
Towards a Unified View of Parameter-Efficient Transfer Learning Junxian He Chunting Zhou Xuezhe Ma Taylor Berg-Kirkpatrick Graham Neubig AAML 110 932 0 08 Oct 2021
Encoders and Ensembles for Task-Free Continual Learning Murray Shanahan Christos Kaplanis Jovana Mitrović CLL 56 25 0 27 May 2021
Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning Zheda Mai Ruiwen Li Hyunwoo J. Kim Scott Sanner CLL 65 185 0 22 Mar 2021
Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams Matthias De Lange Tinne Tuytelaars CLL 37 202 0 02 Sep 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 D. Song Jacob Steinhardt Justin Gilmer OOD 300 1,727 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 72 909 0 15 Apr 2020
Improved Few-Shot Visual Classification Peyman Bateni Raghav Goyal Vaden Masrani Frank Wood Leonid Sigal VLM 66 231 0 07 Dec 2019
Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Tyler L. Hayes Christopher Kanan CLL 66 142 0 04 Sep 2019
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt D. Song OODD 193 1,465 0 16 Jul 2019
Do Better ImageNet Models Transfer Better? Simon Kornblith Jonathon Shlens Quoc V. Le OOD MLT 153 1,324 0 23 May 2018
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence Arslan Chaudhry P. Dokania Thalaiyasingam Ajanthan Philip Torr CLL 89 1,137 0 30 Jan 2018