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"

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Title
5G-DIL: Domain Incremental Learning with Similarity-Aware Sampling for Dynamic 5G Indoor Localization Nisha Lakshmana Raichur Lucas Heublein Christopher Mutschler Felix Ott 59 0 0 23 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 195 4 0 01 May 2025
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 167 2 0 01 Oct 2024
Towards Domain Adaptive Neural Contextual Bandits Ziyan Wang Hao Wang Hao Wang 184 0 0 13 Jun 2024
Taxonomy-Structured Domain Adaptation Tianyi Liu Zihao Xu Hao He Guang-Yuan Hao Guang-He Lee Hao Wang TTA OOD 99 7 0 13 Jun 2023
Continual Vision-Language Representation Learning with Off-Diagonal Information Zixuan Ni Longhui Wei Siliang Tang Yueting Zhuang Qi Tian VLM CLL 62 25 0 11 May 2023
On the Stability-Plasticity Dilemma of Class-Incremental Learning Dongwan Kim Bohyung Han CLL 51 51 0 04 Apr 2023
Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning Zhuowei Li Long Zhao Zizhao Zhang Han Zhang Diya Liu Ting Liu Dimitris N. Metaxas CLL VLM 70 21 0 16 Mar 2023
Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation Zihao Xu Guang-Yuan Hao Hao He Hao Wang 71 19 0 06 Feb 2023
CLIP model is an Efficient Continual Learner Vishal Thengane Salman Khan Munawar Hayat Fahad Shahbaz Khan BDL VLM CLL 155 49 0 06 Oct 2022
Are All Losses Created Equal: A Neural Collapse Perspective Jinxin Zhou Chong You Xiao Li Kangning Liu Sheng Liu Qing Qu Zhihui Zhu 72 64 0 04 Oct 2022
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold Can Yaras Peng Wang Zhihui Zhu Laura Balzano Qing Qu 53 44 0 19 Sep 2022
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning Yabin Wang Zhiwu Huang Xiaopeng Hong CLL VLM 113 221 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 117 489 0 10 Apr 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 275 30,109 0 01 Mar 2022
Class-Incremental Continual Learning into the eXtended DER-verse Matteo Boschini Lorenzo Bonicelli Pietro Buzzega Angelo Porrello Simone Calderara CLL BDL 80 140 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 101 775 0 16 Dec 2021
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning Danruo Deng Guangyong Chen Jianye Hao Qiong Wang Pheng-Ann Heng CLL AAML 53 79 0 09 Oct 2021
DualNet: Continual Learning, Fast and Slow Quang Pham Chenghao Liu Guosheng Lin CLL 120 45 0 01 Oct 2021
Towards Communication-Efficient and Privacy-Preserving Federated Representation Learning Haizhou Shi Youcai Zhang Zijin Shen Siliang Tang Yaqian Li Yandong Guo Yueting Zhuang 33 6 0 29 Sep 2021
On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals Haizhou Shi Youcai Zhang Siliang Tang Wenjie Zhu Yaqian Li Yandong Guo Yueting Zhuang SyDa 54 15 0 30 Jul 2021
Co $^2$ L: Contrastive Continual Learning Hyuntak Cha Jaeho Lee Jinwoo Shin CLL SSL VLM 110 302 0 28 Jun 2021
CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction Tao Chen Haizhou Shi Siliang Tang Zhigang Chen Leilei Gan Yueting Zhuang 41 56 0 21 Jun 2021
Model Zoo: A Growing "Brain" That Learns Continually Rahul Ramesh Pratik Chaudhari CLL FedML 60 65 0 06 Jun 2021
Self-Supervised Training Enhances Online Continual Learning Jhair Gallardo Tyler L. Hayes Christopher Kanan CLL 85 68 0 25 Mar 2021
Gradient Projection Memory for Continual Learning Gobinda Saha Isha Garg Kaushik Roy VLM CLL 72 283 0 17 Mar 2021
Run Away From your Teacher: Understanding BYOL by a Novel Self-Supervised Approach Haizhou Shi Dongliang Luo Siliang Tang Jian Wang Yueting Zhuang SSL 64 13 0 22 Nov 2020
Prevalence of Neural Collapse during the terminal phase of deep learning training Vardan Papyan Xuemei Han D. Donoho 197 574 0 18 Aug 2020
Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation Le Thanh Nguyen-Meidine Atif Bela M. Kiran Jose Dolz Louis-Antoine Blais-Morin Eric Granger 66 84 0 14 Jul 2020
Understanding the Role of Training Regimes in Continual Learning Seyed Iman Mirzadeh Mehrdad Farajtabar Razvan Pascanu H. Ghasemzadeh CLL 71 225 0 12 Jun 2020
Supervised Contrastive Learning Prannay Khosla Piotr Teterwak Chen Wang Aaron Sarna Yonglong Tian Phillip Isola Aaron Maschinot Ce Liu Dilip Krishnan SSL 149 4,542 0 23 Apr 2020
Dark Experience for General Continual Learning: a Strong, Simple Baseline Pietro Buzzega Matteo Boschini Angelo Porrello Davide Abati Simone Calderara BDL CLL 83 912 0 15 Apr 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 478 3,433 0 09 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 366 18,752 0 13 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 199 12,074 0 13 Nov 2019
Knowledge Distillation for Incremental Learning in Semantic Segmentation Umberto Michieli Pietro Zanuttigh CLL VLM 63 98 0 08 Nov 2019
Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks Ziliang Chen Jingyu Zhuang Xiaodan Liang Liang Lin OOD 78 84 0 08 Jul 2019
Uncertainty-guided Continual Learning with Bayesian Neural Networks Sayna Ebrahimi Mohamed Elhoseiny Trevor Darrell Marcus Rohrbach CLL BDL 59 197 0 06 Jun 2019
Large Scale Incremental Learning Yue Wu Yinpeng Chen Lijuan Wang Yuancheng Ye Zicheng Liu Yandong Guo Y. Fu CLL 96 1,257 0 30 May 2019
Efficient Lifelong Learning with A-GEM Arslan Chaudhry MarcÁurelio Ranzato Marcus Rohrbach Mohamed Elhoseiny CLL 208 1,456 0 02 Dec 2018
Learning without Memorizing Prithviraj Dhar Rajat Vikram Singh Kuan-Chuan Peng Ziyan Wu Rama Chellappa CLL 85 483 0 20 Nov 2018
Progress & Compress: A scalable framework for continual learning Jonathan Richard Schwarz Jelena Luketina Wojciech M. Czarnecki A. Grabska-Barwinska Yee Whye Teh Razvan Pascanu R. Hadsell CLL 122 889 0 16 May 2018
Memory Aware Synapses: Learning what (not) to forget Rahaf Aljundi F. Babiloni Mohamed Elhoseiny Marcus Rohrbach Tinne Tuytelaars KELM CLL 85 1,636 0 27 Nov 2017
Lifelong Learning with Dynamically Expandable Networks Jaehong Yoon Eunho Yang Jeongtae Lee Sung Ju Hwang CLL 121 1,224 0 04 Aug 2017
Gradient Episodic Memory for Continual Learning David Lopez-Paz MarcÁurelio Ranzato VLM CLL 127 2,714 0 26 Jun 2017
Generate To Adapt: Aligning Domains using Generative Adversarial Networks S. Sankaranarayanan Yogesh Balaji Carlos D. Castillo Rama Chellappa GAN OOD 108 651 0 06 Apr 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 365 7,518 0 02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 148 3,761 0 23 Nov 2016
Deep CORAL: Correlation Alignment for Deep Domain Adaptation Baochen Sun Kate Saenko OOD 100 3,156 0 06 Jul 2016
Less-forgetting Learning in Deep Neural Networks Heechul Jung Jeongwoo Ju Minju Jung Junmo Kim 97 228 0 01 Jul 2016