Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild

29 March 2019

Papers citing "Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild"

50 / 118 papers shown

Title
Autoencoder-Based Hybrid Replay for Class-Incremental Learning M. Nori Il Kim Guanghui Wang CLL 45 0 0 09 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 29 0 0 18 Apr 2025
BECAME: BayEsian Continual Learning with Adaptive Model MErging Mei Li Yuxiang Lu Qinyan Dai Suizhi Huang Yue Ding Hongtao Lu CLL MoMe 44 0 0 03 Apr 2025
IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware Prompting Hao Fu Hanbin Zhao Jiahua Dong Chao Zhang Hui Qian CLL VLM 86 0 0 26 Mar 2025
Adaptive Weighted Parameter Fusion with CLIP for Class-Incremental Learning J. Guo Xiaoguang Zhu Liangyu Teng Hao Yang J. Liu Y. Liu Liang Song CLL VLM 67 1 0 25 Mar 2025
Continual Multimodal Contrastive Learning Xiaohao Liu Xiaobo Xia See-Kiong Ng Tat-Seng Chua CLL 57 0 0 19 Mar 2025
ProtoDepth: Unsupervised Continual Depth Completion with Prototypes Patrick Rim Hyoungseob Park Suchisrit Gangopadhyay Ziyao Zeng Younjoon Chung Alex Wong CLL MDE 61 1 0 17 Mar 2025
iManip: Skill-Incremental Learning for Robotic Manipulation Zexin Zheng Jia-Feng Cai Xiao-Ming Wu Yi-Lin Wei Yu-Ming Tang Wei-Shi Zheng CLL 54 0 0 10 Mar 2025
Lifelong Learning with Task-Specific Adaptation: Addressing the Stability-Plasticity Dilemma Ruiyu Wang Sen Wang X. Zuo Q. Sun CLL KELM 65 0 0 08 Mar 2025
RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks Nazia Tasnim Bryan A. Plummer CLL OffRL 74 0 0 25 Nov 2024
Slowing Down Forgetting in Continual Learning Pascal Janetzky Tobias Schlagenhauf Stefan Feuerriegel CLL 34 0 0 11 Nov 2024
Continual Audio-Visual Sound Separation Weiguo Pian Yiyang Nan Shijian Deng Shentong Mo Yunhui Guo Yapeng Tian VLM CLL 41 0 0 05 Nov 2024
Rethinking Few-shot Class-incremental Learning: Learning from Yourself Yu-Ming Tang Yi-Xing Peng Jingke Meng Wei-Shi Zheng CLL 37 5 0 10 Jul 2024
Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions Laiqiao Qin Tianqing Zhu Wanlei Zhou Philip S. Yu 38 5 0 16 Jun 2024
Multi-label Class Incremental Emotion Decoding with Augmented Emotional Semantics Learning Kaicheng Fu Changde Du Xiaoyu Chen Jie Peng Huiguang He CLL 18 0 0 31 May 2024
Provable Contrastive Continual Learning Yichen Wen Zhiquan Tan Kaipeng Zheng Chuanlong Xie Weiran Huang CLL 32 4 0 29 May 2024
Densely Distilling Cumulative Knowledge for Continual Learning Zenglin Shi Pei Liu Tong Su Yunpeng Wu Kuien Liu Yu Song Meng Wang CLL 31 0 0 16 May 2024
On the Convergence of Continual Learning with Adaptive Methods Seung Han Yeon-Jae Kim Taehyun Cho Jungwoo Lee CLL 9 3 0 08 Apr 2024
Future-Proofing Class-Incremental Learning Quentin Jodelet Xin Liu Yin Jun Phua Tsuyoshi Murata VLM 34 2 0 04 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 40 8 0 27 Mar 2024
Embracing Language Inclusivity and Diversity in CLIP through Continual Language Learning Bang-ju Yang Yong Dai Xuxin Cheng Yaowei Li Asif Raza Yuexian Zou VLM 34 4 0 30 Jan 2024
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning Chenyang Wang Junjun Jiang Xingyu Hu Xianming Liu Xiangyang Ji 37 2 0 12 Jan 2024
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy Everton L. Aleixo J. Colonna Marco Cristo Everlandio Fernandes CLL 50 21 0 16 Dec 2023
Continual Learning through Networks Splitting and Merging with Dreaming-Meta-Weighted Model Fusion Yi Sun Xin Xu Jian Li Guanglei Xie Yifei Shi Qiang Fang CLL MoMe 24 1 0 12 Dec 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 36 7 0 08 Nov 2023
A Survey on Knowledge Editing of Neural Networks Vittorio Mazzia Alessandro Pedrani Andrea Caciolai Kay Rottmann Davide Bernardi KELM 15 24 0 30 Oct 2023
Fast Trainable Projection for Robust Fine-Tuning Junjiao Tian Yen-Cheng Liu James Seale Smith Z. Kira OOD 33 11 0 29 Oct 2023
Wakening Past Concepts without Past Data: Class-Incremental Learning from Online Placebos Yaoyao Liu Yingying Li Bernt Schiele Qianru Sun CLL OnRL 19 7 0 24 Oct 2023
Prior-Free Continual Learning with Unlabeled Data in the Wild Tao Zhuo Zhiyong Cheng Hehe Fan Mohan S. Kankanhalli VLM CLL 33 2 0 16 Oct 2023
Class-Incremental Learning Using Generative Experience Replay Based on Time-aware Regularization Zizhao Hu Mohammad Rostami CLL BDL 20 3 0 05 Oct 2023
Class Incremental Learning via Likelihood Ratio Based Task Prediction Haowei Lin Yijia Shao W. Qian Ningxin Pan Yiduo Guo Bing-Quan Liu CLL 24 13 0 26 Sep 2023
Audio-Visual Class-Incremental Learning Weiguo Pian Shentong Mo Yunhui Guo Yapeng Tian CLL VLM 20 28 0 21 Aug 2023
When Prompt-based Incremental Learning Does Not Meet Strong Pretraining Yuyao Tang Yifan Peng Weiwen Zheng CLL VLM 28 32 0 21 Aug 2023
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning Filip Szatkowski Mateusz Pyla Marcin Przewiȩźlikowski Sebastian Cygert Bartlomiej Twardowski Tomasz Trzciñski CLL 24 10 0 18 Aug 2023
Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection Xiaohui Zhang Jiangyan Yi J. Tao Chenglong Wang Chuyuan Zhang CLL 28 22 0 07 Aug 2023
Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey Gabriele Lagani Fabrizio Falchi Claudio Gennaro Giuseppe Amato 26 7 0 30 Jul 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning Zhenyi Wang Enneng Yang Li Shen Heng-Chiao Huang KELM MU 29 46 0 16 Jul 2023
MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning Julien Nicolas Florent Chiaroni Imtiaz Masud Ziko Ola Ahmad Christian Desrosiers Jose Dolz VLM CLL 26 5 0 11 Jul 2023
Class-Incremental Learning using Diffusion Model for Distillation and Replay Quentin Jodelet Xin Liu Yin Jun Phua T. Murata DiffM 16 31 0 30 Jun 2023
Learnability and Algorithm for Continual Learning Gyuhak Kim Changnan Xiao Tatsuya Konishi Bin Liu CLL 31 24 0 22 Jun 2023
Label-Efficient Learning in Agriculture: A Comprehensive Review Jiajia Li Dong Chen Xinda Qi Zhao Li Yanbo Huang Daniel Morris Xiaobo Tan 31 34 0 24 May 2023
Continual Learning with Strong Experience Replay Tao Zhuo Zhiyong Cheng Zan Gao Hehe Fan Mohan S. Kankanhalli CLL VLM 29 2 0 23 May 2023
Revisiting Data Augmentation in Model Compression: An Empirical and Comprehensive Study Muzhou Yu Linfeng Zhang Kaisheng Ma 18 2 0 22 May 2023
Open-World Continual Learning: Unifying Novelty Detection and Continual Learning Gyuhak Kim Changnan Xiao Tatsuya Konishi Zixuan Ke Bin Liu CLL OODD 29 12 0 20 Apr 2023
Cross-Class Feature Augmentation for Class Incremental Learning Taehoon Kim Jaeyoo Park Bohyung Han CLL 24 5 0 04 Apr 2023
Projected Latent Distillation for Data-Agnostic Consolidation in Distributed Continual Learning Antonio Carta Andrea Cossu Vincenzo Lomonaco D. Bacciu Joost van de Weijer FedML 13 5 0 28 Mar 2023
Knowledge Restore and Transfer for Multi-label Class-Incremental Learning Songlin Dong Haoyu Luo Yuhang He Xing Wei Yihong Gong KELM CLL 19 7 0 26 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and Application Liyuan Wang Xingxing Zhang Hang Su Jun Zhu KELM CLL 33 596 0 31 Jan 2023
Continual Learning for Predictive Maintenance: Overview and Challenges J. Hurtado Dario Salvati Rudy Semola Mattia Bosio Vincenzo Lomonaco 21 31 0 29 Jan 2023
A Distinct Unsupervised Reference Model From The Environment Helps Continual Learning Seyyed Amirhossein Ameli Kalkhoran Mohammadamin Banayeeanzade Mahdi Samiei M. Baghshah BDL CLL 21 0 0 11 Jan 2023