Gradient based sample selection for online continual learning

20 March 2019

Papers citing "Gradient based sample selection for online continual learning"

50 / 155 papers shown

Title
Reinforced Interactive Continual Learning via Real-time Noisy Human Feedback Yutao Yang Jie Zhou Junsong Li Qianjun Pan Bihao Zhan Qin Chen Xipeng Qiu Liang He CLL 29 0 0 15 May 2025
Improvements of Dark Experience Replay and Reservoir Sampling towards Better Balance between Consolidation and Plasticity Taisuke Kobayashi CLL 41 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 56 0 0 29 Apr 2025
ReSpec: Relevance and Specificity Grounded Online Filtering for Learning on Video-Text Data Streams C. Kim Jihwan Moon Sangwoo Moon Heeseung Yun Sihaeng Lee Aniruddha Kembhavi Soonyoung Lee Gunhee Kim Sangho Lee Christopher Clark 34 0 0 21 Apr 2025
Gradient-based Sample Selection for Faster Bayesian Optimization Qiyu Wei Haowei Wang Zirui Cao Songhao Wang Richard Allmendinger Mauricio A Álvarez 31 0 0 10 Apr 2025
MADAR: Efficient Continual Learning for Malware Analysis with Diversity-Aware Replay Mohammad Saidur Rahman Scott E. Coull Qi Yu M. Wright AAML 56 0 0 09 Feb 2025
Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric Videos Yanlai Yang Mengye Ren 226 0 0 21 Jan 2025
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 VLM KELM CLL 90 3 0 01 Dec 2024
RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks Nazia Tasnim Bryan A. Plummer CLL OffRL 74 0 0 25 Nov 2024
Efficient Non-Exemplar Class-Incremental Learning with Retrospective Feature Synthesis Liang Bai Hong Song Yucong Lin Tianyu Fu Deqiang Xiao Danni Ai Jingfan Fan Jian Yang CLL 41 0 0 03 Nov 2024
Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling Minhyuk Seo Hyunseo Koh Jonghyun Choi 39 1 0 19 Oct 2024
Continual Learning: Less Forgetting, More OOD Generalization via Adaptive Contrastive Replay Hossein Rezaei Mohammad Sabokrou CLL 37 0 0 09 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 33 0 0 03 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 76 2 0 01 Oct 2024
Reducing Catastrophic Forgetting in Online Class Incremental Learning Using Self-Distillation Kotaro Nagata Hiromu Ono Kazuhiro Hotta CLL 19 0 0 17 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
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning Jinglin Liang Jin Zhong Hanlin Gu Zhongqi Lu Xingxing Tang Gang Dai Shuangping Huang Lixin Fan Qiang Yang DiffM 47 7 0 02 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 80 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 43 3 0 22 Jul 2024
Background Adaptation with Residual Modeling for Exemplar-Free Class-Incremental Semantic Segmentation Anqi Zhang Guangyu Gao CLL VLM 56 4 0 13 Jul 2024
Concept-skill Transferability-based Data Selection for Large Vision-Language Models Jaewoo Lee Boyang Li Sung Ju Hwang VLM 43 8 0 16 Jun 2024
Overcoming Catastrophic Forgetting by Exemplar Selection in Task-oriented Dialogue System Chen Chen Ruizhe Li Yuchen Hu Yuanyuan Chen Chengwei Qin Qiang Zhang CLL 41 2 0 16 May 2024
IMEX-Reg: Implicit-Explicit Regularization in the Function Space for Continual Learning Prashant Shivaram Bhat Bharath Renjith Elahe Arani Bahram Zonooz CLL 48 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
Realistic Continual Learning Approach using Pre-trained Models Nadia Nasri Carlos Gutiérrez-Álvarez Sergio Lafuente-Arroyo Saturnino Maldonado-Bascón Roberto J. López-Sastre CLL 43 0 0 11 Apr 2024
Hyperparameter Selection in Continual Learning Thomas L. Lee Sigrid Passano Hellan Linus Ericsson Elliot J. Crowley Amos Storkey CLL 68 0 0 09 Apr 2024
Towards Robust Graph Incremental Learning on Evolving Graphs Junwei Su Difan Zou Zijun Zhang Chuan Wu CLL OOD 37 18 0 20 Feb 2024
TinyCL: An Efficient Hardware Architecture for Continual Learning on Autonomous Systems Eugenio Ressa Alberto Marchisio Maurizio Martina Guido Masera Muhammad Shafique 43 0 0 15 Feb 2024
Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization Sebastian Dziadzio cCaugatay Yildiz Gido M. van de Ven Tomasz Trzciñski Tinne Tuytelaars Matthias Bethge 27 1 0 27 Dec 2023
Doubly Perturbed Task Free Continual Learning Byung Hyun Lee Min-hwan Oh Se Young Chun 27 3 0 20 Dec 2023
Benchmarking Continual Learning from Cognitive Perspectives Xiaoqian Liu Junge Zhang Mingyi Zhang Peipei Yang 21 0 0 06 Dec 2023
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning Ruxiao Duan Yaoyao Liu Jieneng Chen Adam Kortylewski Alan Yuille DiffM VLM 38 1 0 30 Nov 2023
Density Distribution-based Learning Framework for Addressing Online Continual Learning Challenges Shilin Zhang Jiahui Wang CLL 32 0 0 22 Nov 2023
Online Continual Knowledge Learning for Language Models Yuhao Wu Tongjun Shi Karthick Sharma Chun Seah Shuhao Zhang CLL KELM 30 4 0 16 Nov 2023
Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How Timm Hess Tinne Tuytelaars Gido M. van de Ven 44 7 0 08 Nov 2023
Coordinated Replay Sample Selection for Continual Federated Learning Jack Good Jimit Majmudar Christophe Dupuy Jixuan Wang Charith Peris Clement Chung Richard Zemel Rahul Gupta 25 2 0 23 Oct 2023
AST: Effective Dataset Distillation through Alignment with Smooth and High-Quality Expert Trajectories Jiyuan Shen Wenzhuo Yang Kwok-Yan Lam DD 35 1 0 16 Oct 2023
Federated Class-Incremental Learning with Prompting Jiale Liu Yu-Wei Zhan Chong-Yu Zhang Xin Luo Zhen-Duo Chen Yinwei Wei CLL FedML 29 2 0 13 Oct 2023
Chunking: Continual Learning is not just about Distribution Shift Thomas L. Lee Amos Storkey 25 1 0 03 Oct 2023
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning Huiwei Lin Shanshan Feng Baoquan Zhang Xutao Li Yew-Soon Ong CLL 45 0 0 26 Sep 2023
Domain-Aware Augmentations for Unsupervised Online General Continual Learning Nicolas Michel Romain Negrel Giovanni Chierchia J. Bercher CLL 22 2 0 13 Sep 2023
UER: A Heuristic Bias Addressing Approach for Online Continual Learning Huiwei Lin Shanshan Feng Baoquan Zhang Hongliang Qiao Xutao Li Yunming Ye CLL 40 4 0 08 Sep 2023
Online Continual Learning on Hierarchical Label Expansion Byung Hyun Lee Ok-Cheol Jung Jonghyun Choi S. Chun CLL 36 8 0 28 Aug 2023
A Comprehensive Empirical Evaluation on Online Continual Learning Albin Soutif--Cormerais Antonio Carta Andrea Cossu J. Hurtado Hamed Hemati Vincenzo Lomonaco Joost van de Weijer CLL 31 20 0 20 Aug 2023
Online Prototype Learning for Online Continual Learning Yujie Wei Jiaxin Ye Zhizhong Huang Junping Zhang Hongming Shan CLL OnRL 33 39 0 01 Aug 2023
Continual Learning as Computationally Constrained Reinforcement Learning Saurabh Kumar Henrik Marklund Anand Srinivasa Rao Yifan Zhu Hong Jun Jeon Yueyang Liu Benjamin Van Roy CLL 27 22 0 10 Jul 2023
TADIL: Task-Agnostic Domain-Incremental Learning through Task-ID Inference using Transformer Nearest-Centroid Embeddings Gusseppe Bravo Rocca Peini Liu Jordi Guitart Ajay Dholakia David Ellison 27 1 0 21 Jun 2023
Learning without Forgetting for Vision-Language Models Da-Wei Zhou Yuanhan Zhang Jingyi Ning Jingyi Ning De-Chuan Zhan De-Chuan Zhan Ziwei Liu VLM CLL 74 37 0 30 May 2023
Lightweight Learner for Shared Knowledge Lifelong Learning Yunhao Ge Yuecheng Li Di Wu Ao Xu Adam M. Jones ... Gozde Sahin Shuo Ni Kiran Lekkala Sumedh Anand Sontakke Laurent Itti CLL 21 10 0 24 May 2023