A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm

18 October 2023

Papers citing "A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm"

22 / 22 papers shown

Title
Componential Prompt-Knowledge Alignment for Domain Incremental Learning Kunlun Xu Xu Zou Gang Hua Jiahuan Zhou CLL 73 0 0 07 May 2025
Rethinking Memory in AI: Taxonomy, Operations, Topics, and Future Directions Yiming Du Wenyu Huang Danna Zheng Zhaowei Wang Sébastien Montella Mirella Lapata Kam-Fai Wong Jeff Z. Pan KELM MU 68 1 0 01 May 2025
Parameter-Efficient Continual Fine-Tuning: A Survey Eric Nuertey Coleman Luigi Quarantiello Ziyue Liu Qinwen Yang Samrat Mukherjee J. Hurtado Vincenzo Lomonaco CLL 27 0 0 18 Apr 2025
A Selective Learning Method for Temporal Graph Continual Learning Hanmo Liu Shimin Di Haoyang Li Xun Jian Y. Wang Lei Chen CLL 44 0 0 03 Mar 2025
Exploring Open-world Continual Learning with Knowns-Unknowns Knowledge Transfer Yujie Li Guannan Lai Xin Yang Y. Li Marcello Bonsangue Tianrui Li CLL VLM 76 0 0 27 Feb 2025
Algorithm Design for Continual Learning in IoT Networks Shugang Hao Lingjie Duan CLL 76 0 0 22 Dec 2024
Balanced Gradient Sample Retrieval for Enhanced Knowledge Retention in Proxy-based Continual Learning Hongye Xu Jan Wasilewski Bartosz Krawczyk CLL 69 0 0 19 Dec 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 35 2 0 01 Oct 2024
Diffusion Model Meets Non-Exemplar Class-Incremental Learning and Beyond Jichuan Zhang Yali Li Xin Liu Shengjin Wang DiffM 36 0 0 06 Aug 2024
Towards Domain Adaptive Neural Contextual Bandits Ziyan Wang Hao Wang Hao Wang 45 0 0 13 Jun 2024
Continual Learning of Large Language Models: A Comprehensive Survey Haizhou Shi Zihao Xu Hengyi Wang Weiyi Qin Wenyuan Wang Yibin Wang Zifeng Wang Sayna Ebrahimi Hao Wang CLL KELM LRM 37 62 0 25 Apr 2024
E3: Ensemble of Expert Embedders for Adapting Synthetic Image Detectors to New Generators Using Limited Data Aref Azizpour Tai D. Nguyen Manil Shrestha Kaidi Xu Edward Kim Matthew C. Stamm 21 4 0 12 Apr 2024
Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees Guang-Yuan Hao Hengguan Huang Haotian Wang Jie Gao Hao Wang OOD 31 1 0 03 Feb 2024
Pre-trained Recommender Systems: A Causal Debiasing Perspective Ziqian Lin Hao Ding Nghia Hoang B. Kveton Anoop Deoras Hao Wang CML 29 4 0 30 Oct 2023
Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt Representation Drift in Continual Learning F. Sarfraz Elahe Arani Bahram Zonooz KELM CLL 36 25 0 14 Feb 2023
CLIP model is an Efficient Continual Learner Vishal G. Thengane Salman Khan Munawar Hayat F. Khan BDL VLM CLL 91 43 0 06 Oct 2022
Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System Elahe Arani F. Sarfraz Bahram Zonooz CLL 54 121 0 29 Jan 2022
DualNet: Continual Learning, Fast and Slow Quang-Cuong Pham Chenghao Liu S. Hoi CLL 54 42 0 01 Oct 2021
Dissecting Supervised Contrastive Learning Florian Graf Christoph Hofer Marc Niethammer Roland Kwitt SSL 107 68 0 17 Feb 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 235 3,029 0 09 Mar 2020
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 149 9,300 0 28 May 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014