Large Scale Incremental Learning

30 May 2019

Zicheng Liu

Papers citing "Large Scale Incremental Learning"

50 / 246 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 42 0 0 12 May 2025
Embodied Intelligence: The Key to Unblocking Generalized Artificial Intelligence Jinhao Jiang Changlin Chen Shile Feng Wanru Geng Zesheng Zhou Ni Wang Shuai Li Feng-Qi Cui Erbao Dong AI4CE 36 0 0 11 May 2025
Autoencoder-Based Hybrid Replay for Class-Incremental Learning Milad Khademi Nori Il Kim Guanghui Wang CLL 52 0 0 09 May 2025
A Framework for Elastic Adaptation of User Multiple Intents in Sequential Recommendation Zhikai Wang Yanyan Shen AI4TS 35 0 0 30 Apr 2025
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse Kun He Zijian Song Shuoxi Zhang J. Hopcroft CLL 61 0 0 25 Apr 2025
Task-conditioned Ensemble of Expert Models for Continuous Learning Renu Sharma Debasmita Pal Arun Ross OOD KELM 225 0 0 11 Apr 2025
Feature Calibration enhanced Parameter Synthesis for CLIP-based Class-incremental Learning Jiaxin Guo Xiaoguang Zhu Xiaoguang Zhu Lianlong Sun Liangyu Teng Yang Liu Di Li Wei Zhou Liang Song CLL VLM 59 1 0 24 Mar 2025
S2IL: Structurally Stable Incremental Learning S. Balasubramanian Yedu Krishna P Talasu Sai Sriram M Sai Subramaniam Manepalli Pranav Phanindra Sai Darshan Gera CLL 65 0 0 15 Mar 2025
ConSense: Continually Sensing Human Activity with WiFi via Growing and Picking Rong Li Tao Deng Siwei Feng Mingjie Sun Juncheng Jia CLL 51 1 0 18 Feb 2025
Sequence Transferability and Task Order Selection in Continual Learning T. Nguyen Cuong N. Nguyen Quang Pham B. T. Nguyen Savitha Ramasamy Xiaoli Li Cuong V Nguyen 85 0 0 10 Feb 2025
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting Milad Khademi Nori Il Kim Guanghui CLL 70 1 0 26 Jan 2025
Towards Robust Incremental Learning under Ambiguous Supervision Rui Wang Mingxuan Xia Chang Yao Lei Feng Junbo Zhao Gang Chen Haobo Wang CLL 197 0 0 23 Jan 2025
Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation Han Zhang Yifei Yao Zixuan Wang Jiayuan Su Mengxuan Li Peng Peng Hongwei Wang CLL 54 0 0 16 Jan 2025
Multi-Granularity Class Prototype Topology Distillation for Class-Incremental Source-Free Unsupervised Domain Adaptation Peihua Deng Jiehua Zhang Xichun Sheng C. Yan Yaoqi Sun Ying Fu Liang-Sheng Li CLL 86 1 0 25 Nov 2024
Masked Autoencoders are Parameter-Efficient Federated Continual Learners Yuchen He Xiangfeng Wang CLL FedML 40 0 0 04 Nov 2024
FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework Yuchen He Chuyun Shen Xiangfeng Wang Bo Jin FedML 32 1 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 49 1 0 01 Nov 2024
Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling Minhyuk Seo Hyunseo Koh Jonghyun Choi 44 1 0 19 Oct 2024
Task Consistent Prototype Learning for Incremental Few-shot Semantic Segmentation Wenbo Xu Yanan Wu Haoran Jiang Yang Wang Qiang Wu Jian Zhang CLL VLM 33 0 0 16 Oct 2024
Open World Object Detection: A Survey Yiming Li Yi Wang Wenqian Wang Dan Lin Bingbing Li Kim-Hui Yap ObjD 45 0 0 15 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
VideoSAM: Open-World Video Segmentation Pinxue Guo Zixu Zhao Jianxiong Gao Chongruo Wu Tong He Zheng Zhang Tianjun Xiao Wenqiang Zhang VOS 36 0 0 11 Oct 2024
Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models Vinith Suriyakumar Rohan Alur Ayush Sekhari Manish Raghavan Ashia Wilson 55 2 0 10 Oct 2024
MIRACLE3D: Memory-efficient Integrated Robust Approach for Continual Learning on Point Clouds via Shape Model Construction Hossein Resani B. Nasihatkon 3DV 192 0 0 08 Oct 2024
Fair Class-Incremental Learning using Sample Weighting Jaeyoung Park Minsu Kim Steven Euijong Whang 38 0 0 02 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
Few-Shot Class-Incremental Learning with Non-IID Decentralized Data Cuiwei Liu Siang Xu Huaijun Qiu Jing Zhang Zhi Liu Liang Zhao CLL 36 0 0 18 Sep 2024
Continual Learning in 3D Point Clouds: Employing Spectral Techniques for Exemplar Selection Hossein Resani B. Nasihatkon Mohammadreza Alimoradi Jazi 3DPC 44 2 0 12 Sep 2024
Joint Input and Output Coordination for Class-Incremental Learning Shuai Wang Yibing Zhan Yong Luo Han Hu Wei Yu Yonggang Wen Dacheng Tao CLL 40 2 0 09 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
Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning Lu Yu Hesong Li Ying Fu Joost van de Weijer Changsheng Xu CLL 55 1 0 02 Aug 2024
A Comprehensive Review of Few-shot Action Recognition Yuyang Wanyan Xiaoshan Yang Weiming Dong Changsheng Xu VLM 80 3 0 20 Jul 2024
Early Preparation Pays Off: New Classifier Pre-tuning for Class Incremental Semantic Segmentation Zhengyuan Xie Haiquan Lu Jia-Wen Xiao Enguang Wang Le Zhang Xialei Liu CLL 33 2 0 19 Jul 2024
Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method Kishaan Jeeveswaran Elahe Arani Bahram Zonooz CLL 46 3 0 23 Jun 2024
Distribution Aligned Semantics Adaption for Lifelong Person Re-Identification Qizao Wang Xuelin Qian Bin Li Xiangyang Xue 28 1 0 30 May 2024
Auto-selected Knowledge Adapters for Lifelong Person Re-identification Xuelin Qian Ruiqi Wu Gong Cheng Junwei Han CLL 52 2 0 29 May 2024
Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory Overfitting Challenge in Continual Learning Hikmat Khan Ghulam Rasool N. Bouaynaya AAML 28 0 0 20 May 2024
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning N. Raichur Lucas Heublein Tobias Feigl A. Rügamer Christopher Mutschler Felix Ott CLL BDL 73 7 0 17 May 2024
Dynamically Anchored Prompting for Task-Imbalanced Continual Learning Chenxing Hong Yan Jin Zhiqi Kang Yizhou Chen Mengke Li Yang Lu Hanzi Wang 49 3 0 23 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
Future-Proofing Class-Incremental Learning Quentin Jodelet Xin Liu Yin Jun Phua Tsuyoshi Murata VLM 49 2 0 04 Apr 2024
Improving Forward Compatibility in Class Incremental Learning by Increasing Representation Rank and Feature Richness Jaeill Kim Wonseok Lee Moonjung Eo Wonjong Rhee CLL 49 0 0 22 Mar 2024
NTK-Guided Few-Shot Class Incremental Learning Jingren Liu Zhong Ji Yanwei Pang YunLong Yu CLL 42 3 0 19 Mar 2024
Hyperparameters in Continual Learning: A Reality Check Sungmin Cha Kyunghyun Cho CLL 71 2 0 14 Mar 2024
PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay for Smart Healthcare Chia-Hao Li N. Jha MedIm 48 0 0 13 Mar 2024
Incremental Bayesian Learning for Fail-Operational Control in Autonomous Driving Lei Zheng Rui Yang Zeng Peng Wei Yan Michael Yu Wang Jun Ma 42 2 0 07 Mar 2024
Generalizable Two-Branch Framework for Image Class-Incremental Learning Chao Wu Xiaobin Chang Ruixuan Wang CLL 23 2 0 28 Feb 2024
Towards Robust Graph Incremental Learning on Evolving Graphs Junwei Su Difan Zou Zijun Zhang Chuan Wu CLL OOD 43 18 0 20 Feb 2024
Continual Learning on Graphs: A Survey Zonggui Tian Duanhao Zhang Hong-Ning Dai 52 5 0 09 Feb 2024
Face to Cartoon Incremental Super-Resolution using Knowledge Distillation Trinetra Devkatte S. Dubey Satish Kumar Singh Abdenour Hadid CLL CVBM SupR 47 0 0 27 Jan 2024