Continual Learning via Bit-Level Information Preserving

10 May 2021

Papers citing "Continual Learning via Bit-Level Information Preserving"

28 / 28 papers shown

Title
CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging Wenju Sun Qingyong Li Yangli-ao Geng Boyang Li MoMe 34 0 0 11 May 2025
Onboard Optimization and Learning: A Survey Monirul Islam Pavel Siyi Hu Mahardhika Pratama Ryszard Kowalczyk 26 0 0 07 May 2025
Self-Controlled Dynamic Expansion Model for Continual Learning RunQing Wu KaiHui Huang HanYi Zhang Fei Ye CLL VLM 50 0 0 14 Apr 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 175 0 0 15 Jan 2025
Learning at a Glance: Towards Interpretable Data-limited Continual Semantic Segmentation via Semantic-Invariance Modelling Bo Yuan Danpei Zhao Z. Shi VLM CLL 32 3 0 22 Jul 2024
QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models -- Extended Version David Campos Bin Yang Tung Kieu Miao Zhang Chenjuan Guo Christian S. Jensen 39 7 0 22 Apr 2024
FedMeS: Personalized Federated Continual Learning Leveraging Local Memory Jingru Xie Chenqi Zhu Songze Li FedML CLL 32 0 0 19 Apr 2024
Towards Plastic and Stable Exemplar-Free Incremental Learning: A Dual-Learner Framework with Cumulative Parameter Averaging Wenju Sun Qingyong Li Wen Wang Yangli-ao Geng CLL MoMe 26 3 0 28 Oct 2023
Hadamard Domain Training with Integers for Class Incremental Quantized Learning Martin Schiemer Clemens J. S. Schaefer Jayden Parker Vap Mark Horeni Yu Emma Wang Juan Ye Siddharth Joshi 36 2 0 05 Oct 2023
Inherit with Distillation and Evolve with Contrast: Exploring Class Incremental Semantic Segmentation Without Exemplar Memory Danpei Zhao Bo Yuan Z. Shi VLM CLL 31 9 0 27 Sep 2023
Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning Alex Gomez-Villa Bartlomiej Twardowski Kai Wang Joost van de Weijer SSL CLL 33 8 0 12 Sep 2023
Balanced Destruction-Reconstruction Dynamics for Memory-replay Class Incremental Learning Yuhang Zhou Jiangchao Yao Feng Hong Ya-Qin Zhang Yanfeng Wang 23 6 0 03 Aug 2023
Self-paced Weight Consolidation for Continual Learning Wei Cong Yang Cong Gan Sun Yuyang Liu Jiahua Dong CLL 27 14 0 20 Jul 2023
Batch Model Consolidation: A Multi-Task Model Consolidation Framework Iordanis Fostiropoulos Jiaye Zhu Laurent Itti MoMe CLL 27 3 0 25 May 2023
Continual Source-Free Unsupervised Domain Adaptation Waqar Ahmed Pietro Morerio Vittorio Murino TTA CLL 36 2 0 14 Apr 2023
Remind of the Past: Incremental Learning with Analogical Prompts Zhiheng Ma Xiaopeng Hong Beinan Liu Yabin Wang Pinyue Guo Huiyun Li CLL 31 1 0 24 Mar 2023
ICICLE: Interpretable Class Incremental Continual Learning Dawid Rymarczyk Joost van de Weijer Bartosz Zieliñski Bartlomiej Twardowski CLL 32 28 0 14 Mar 2023
Continual Learning with Scaled Gradient Projection Gobinda Saha Kaushik Roy CLL 19 26 0 02 Feb 2023
Hierarchical Memory Pool Based Edge Semi-Supervised Continual Learning Method Xiangwei Wang Rui Han Chi Harold Liu CLL 19 0 0 17 Jan 2023
Optimizing Class Distribution in Memory for Multi-Label Online Continual Learning Yanyan Liang Wu-Jun Li CLL 16 8 0 23 Sep 2022
Online Continual Learning with Contrastive Vision Transformer Zhen Wang Liu Liu Yajing Kong Jiaxian Guo Dacheng Tao CLL 21 29 0 24 Jul 2022
Learning to Imagine: Diversify Memory for Incremental Learning using Unlabeled Data Yujin Tang Yifan Peng Weishi Zheng CLL 21 31 0 19 Apr 2022
Technical Report for ICCV 2021 Challenge SSLAD-Track3B: Transformers Are Better Continual Learners Duo Li Guimei Cao Yunlu Xu Zhanzhan Cheng Yi Niu CLL 22 21 0 13 Jan 2022
Continually Learning Self-Supervised Representations with Projected Functional Regularization Alex Gomez-Villa Bartlomiej Twardowski Lu Yu Andrew D. Bagdanov Joost van de Weijer CLL SSL 25 36 0 30 Dec 2021
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning Yujun Shi Kuangqi Zhou Jian Liang Zihang Jiang Jiashi Feng Philip H. S. Torr Song Bai Vincent Y. F. Tan CLL 28 62 0 09 Dec 2021
Coarse-To-Fine Incremental Few-Shot Learning Xiang Xiang Yuwen Tan Qian Wan Jing Ma CLL 32 12 0 24 Nov 2021
Recent Advances of Continual Learning in Computer Vision: An Overview Haoxuan Qu Hossein Rahmani Li Xu Bryan M. Williams Jun Liu VLM CLL 25 73 0 23 Sep 2021
Adversarial Continual Learning Sayna Ebrahimi Franziska Meier Roberto Calandra Trevor Darrell Marcus Rohrbach CLL VLM 152 198 0 21 Mar 2020