Dark Experience for General Continual Learning: a Strong, Simple Baseline

15 April 2020

Papers citing "Dark Experience for General Continual Learning: a Strong, Simple Baseline"

50 / 136 papers shown

Title
Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Songlin Dong Chenhao Ding Jiangyang Li Jizhou Han Qiang Wang Yuhang He Yihong Gong CLL VLM 35 0 0 12 May 2025
Prototype Augmented Hypernetworks for Continual Learning Neil De La Fuente Maria Pilligua Daniel Vidal Albin Soutiff Cecilia Curreli Daniel Cremers Andrey Barsky CLL 29 0 0 12 May 2025
How to Train Your Metamorphic Deep Neural Network Thomas Sommariva Simone Calderara Angelo Porrello 26 0 0 07 May 2025
Lifelong Whole Slide Image Analysis: Online Vision-Language Adaptation and Past-to-Present Gradient Distillation Doanh C. Bui H. Pham V. Le T. Vu Van Duy Tran Khang Phuoc-Quy Nguyen Y. Nakashima CLL MedIm 26 0 0 04 May 2025
Improvements of Dark Experience Replay and Reservoir Sampling towards Better Balance between Consolidation and Plasticity Taisuke Kobayashi CLL 39 0 0 29 Apr 2025
Inclusive Training Separation and Implicit Knowledge Interaction for Balanced Online Class-Incremental Learning Shunjie Wen Thomas Heinis Dong-Wan Choi CLL 44 0 0 29 Apr 2025
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse Kun He Zijian Song Shuoxi Zhang J. Hopcroft CLL 56 0 0 25 Apr 2025
Self-Controlled Dynamic Expansion Model for Continual Learning RunQing Wu KaiHui Huang HanYi Zhang Fei Ye CLL VLM 42 0 0 14 Apr 2025
Continual Learning With Quasi-Newton Methods Steven Vander Eeckt Hugo Van hamme CLL BDL 69 0 0 25 Mar 2025
Enhanced Continual Learning of Vision-Language Models with Model Fusion Haoyuan Gao Zicong Zhang Yuqi Wei Linglan Zhao Guilin Li Y. Li Linghe Kong Weiran Huang CLL VLM 162 0 0 12 Mar 2025
Pathological Prior-Guided Multiple Instance Learning For Mitigating Catastrophic Forgetting in Breast Cancer Whole Slide Image Classification Weixi Zheng Aoling Huang. Jingping Yuan Jingping Yuan Haoyu Zhao Zhou Zhao Yongchao Xu Thierry Géraud CLL 53 0 0 08 Mar 2025
Achieving Upper Bound Accuracy of Joint Training in Continual Learning Saleh Momeni Bing Liu CLL 84 1 0 17 Feb 2025
Sequence Transferability and Task Order Selection in Continual Learning T. Nguyen Cuong N. Nguyen Quang-Cuong Pham B. T. Nguyen Savitha Ramasamy Xiaoli Li Cuong V Nguyen 75 0 0 10 Feb 2025
Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector Qirui Wu Shizhou Zhang De-Chun Cheng Yinghui Xing Di Xu Peng Wang Yanning Zhang ObjD 61 0 0 08 Feb 2025
IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition George Karantaidis Athanasios Pantsios Y. Kompatsiaris Symeon Papadopoulos CLL 60 0 0 20 Jan 2025
Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting Chen Cai Zheng Wang J. Gao Wenyang Liu Ye Lu Runzhong Zhang Kim-Hui Yap CLL 52 0 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 169 0 0 15 Jan 2025
RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks Nazia Tasnim Bryan A. Plummer CLL OffRL 74 0 0 25 Nov 2024
One VLM to Keep it Learning: Generation and Balancing for Data-free Continual Visual Question Answering Deepayan Das Davide Talon Massimiliano Mancini Yiming Wang Elisa Ricci 39 0 0 04 Nov 2024
Dual Low-Rank Adaptation for Continual Learning with Pre-Trained Models Huancheng Chen Jingtao Li Nidham Gazagnadou Weiming Zhuang Chen Chen Lingjuan Lyu VLM CLL 47 1 0 01 Nov 2024
Closed-form merging of parameter-efficient modules for Federated Continual Learning Riccardo Salami Pietro Buzzega Matteo Mosconi Jacopo Bonato Luigi Sabetta Simone Calderara FedML MoMe CLL 39 2 0 23 Oct 2024
Unsupervised Replay Strategies for Continual Learning with Limited Data Anthony Bazhenov Pahan Dewasurendra G. Krishnan Jean Erik Delanois CLL 21 0 0 21 Oct 2024
Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling Minhyuk Seo Hyunseo Koh Jonghyun Choi 31 1 0 19 Oct 2024
ATLAS: Adapter-Based Multi-Modal Continual Learning with a Two-Stage Learning Strategy Hong Li Zhiquan Tan Xingyu Li Weiran Huang CLL MoMe 43 1 0 14 Oct 2024
Continual Learning: Less Forgetting, More OOD Generalization via Adaptive Contrastive Replay Hossein Rezaei Mohammad Sabokrou CLL 26 0 0 09 Oct 2024
Where are we in audio deepfake detection? A systematic analysis over generative and detection models Xiang Li Pin-Yu Chen Wenqi Wei 34 3 0 06 Oct 2024
Structural-Entropy-Based Sample Selection for Efficient and Effective Learning Tianchi Xie Jiangning Zhu Guozu Ma Minzhi Lin Wei Chen Weikai Yang Shixia Liu 28 0 0 03 Oct 2024
Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models Saurav Jha Shiqi Yang Masato Ishii Mengjie Zhao Christian Simon Muhammad Jehanzeb Mirza Dong Gong Lina Yao Shusuke Takahashi Yuki Mitsufuji DiffM 63 2 0 01 Oct 2024
Towards LifeSpan Cognitive Systems Yu Wang Chi Han Tongtong Wu Xiaoxin He Wangchunshu Zhou ... Zexue He Wei Wang Gholamreza Haffari Heng Ji Julian McAuley KELM CLL 135 1 0 20 Sep 2024
MOST: MR reconstruction Optimization for multiple downStream Tasks via continual learning Hwihun Jeong S. Chun Jongho Lee 36 2 0 16 Sep 2024
Buffer-based Gradient Projection for Continual Federated Learning Shenghong Dai Jy-yong Sohn Yicong Chen S. Alam Ravikumar Balakrishnan Suman Banerjee N. Himayat Kangwook Lee FedML 75 2 0 03 Sep 2024
An Effective Dynamic Gradient Calibration Method for Continual Learning Weichen Lin Jiaxiang Chen Ru Huang Huihua Ding CLL 44 0 0 30 Jul 2024
MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning Yupeng Chen Senmiao Wang Zhihang Lin Zhihang Lin Yushun Zhang Tian Ding Ruoyu Sun Ruoyu Sun CLL 72 1 0 30 Jul 2024
CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning Emanuele Frascaroli Aniello Panariello Pietro Buzzega Lorenzo Bonicelli Angelo Porrello Simone Calderara VLM CLL 35 3 0 22 Jul 2024
Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method Kishaan Jeeveswaran Elahe Arani Bahram Zonooz CLL 44 3 0 23 Jun 2024
LoRA-Whisper: Parameter-Efficient and Extensible Multilingual ASR Zheshu Song Jianheng Zhuo Yifan Yang Ziyang Ma Shixiong Zhang Xie Chen 29 9 0 07 Jun 2024
CLoG: Benchmarking Continual Learning of Image Generation Models Haotian Zhang Junting Zhou Haowei Lin Hang Ye Jianhua Zhu Zihao Wang Liangcai Gao Yizhou Wang Yitao Liang DiffM VLM 31 0 0 07 Jun 2024
Rehearsal-free Federated Domain-incremental Learning Rui Sun Haoran Duan Jiahua Dong Varun Ojha Tejal Shah R. Ranjan CLL 43 1 0 22 May 2024
IMEX-Reg: Implicit-Explicit Regularization in the Function Space for Continual Learning Prashant Bhat Bharath Renjith Elahe Arani Bahram Zonooz CLL 42 2 0 28 Apr 2024
Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning Hikmat Khan N. Bouaynaya Ghulam Rasool CLL 38 1 0 22 Apr 2024
Adaptive Memory Replay for Continual Learning James Seale Smith Lazar Valkov Shaunak Halbe V. Gutta Rogerio Feris Z. Kira Leonid Karlinsky 36 6 0 18 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 29 4 0 12 Apr 2024
Calibration of Continual Learning Models Lanpei Li Elia Piccoli Andrea Cossu Davide Bacciu Vincenzo Lomonaco CLL 32 2 0 11 Apr 2024
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning Huiyi Wang Haodong Lu Lina Yao Dong Gong KELM CLL 42 8 0 27 Mar 2024
One-Shot Domain Incremental Learning Yasushi Esaki Satoshi Koide Takuro Kutsuna CLL VLM 40 0 0 25 Mar 2024
Confidence Self-Calibration for Multi-Label Class-Incremental Learning Kaile Du Yifan Zhou Fan Lyu Yuyang Li Chen Lu Guangcan Liu CLL 32 2 0 19 Mar 2024
Simple and Scalable Strategies to Continually Pre-train Large Language Models Adam Ibrahim Benjamin Thérien Kshitij Gupta Mats L. Richter Quentin Anthony Timothée Lesort Eugene Belilovsky Irina Rish KELM CLL 44 51 0 13 Mar 2024
Continual Segmentation with Disentangled Objectness Learning and Class Recognition Yizheng Gong Siyue Yu Xiaoyang Wang Jimin Xiao CLL 30 5 0 06 Mar 2024
HOP to the Next Tasks and Domains for Continual Learning in NLP Umberto Michieli Mete Ozay VLM 33 2 0 28 Feb 2024
COPR: Continual Human Preference Learning via Optimal Policy Regularization Han Zhang Lin Gui Yu Lei Yuanzhao Zhai Yehong Zhang ... Hui Wang Yue Yu Kam-Fai Wong Bin Liang Ruifeng Xu CLL 34 4 0 22 Feb 2024