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Gradient Episodic Memory for Continual Learning

26 June 2017

Papers citing "Gradient Episodic Memory for Continual Learning"

50 / 1,594 papers shown

Title
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning Liyuan Wang Jingyi Xie Xingxing Zhang Hang Su Jun Zhu CLL 122 7 0 07 Jul 2024
Embracing Massive Medical Data Yu-Cheng Chou Zongwei Zhou Alan Yuille CLL OOD 60 4 0 05 Jul 2024
Continual Learning Optimizations for Auto-regressive Decoder of Multilingual ASR systems Chin Yuen Kwok J. Yip Eng Siong Chng CLL 54 1 0 04 Jul 2024
TEAL: New Selection Strategy for Small Buffers in Experience Replay Class Incremental Learning Shahar Shaul-Ariel D. Weinshall VLM 77 0 0 30 Jun 2024
Learning System Dynamics without Forgetting Xikun Zhang Dongjin Song Yushan Jiang Yixin Chen Dacheng Tao AI4CE 147 2 0 30 Jun 2024
Characterizing Continual Learning Scenarios and Strategies for Audio Analysis Ruchi Bhatt Pratibha Kumari Dwarikanath Mahapatra Abdulmotaleb El Saddik Mukesh Saini CLL 98 4 0 29 Jun 2024
The impact of model size on catastrophic forgetting in Online Continual Learning Eunhae Lee CLL 111 2 0 28 Jun 2024
Towards Synchronous Memorizability and Generalizability with Site-Modulated Diffusion Replay for Cross-Site Continual Segmentation Dunyuan Xu Xi Wang Jingyang Zhang Pheng-Ann Heng MedIm CLL 154 0 0 26 Jun 2024
Forget but Recall: Incremental Latent Rectification in Continual Learning Nghia D. Nguyen Hieu Trung Nguyen Ang Li H. Pham Viet Anh Nguyen Khoa D. Doan CLL 87 0 0 25 Jun 2024
The Championship-Winning Solution for the 5th CLVISION Challenge 2024 Sishun Pan Tingmin Li Yang Yang CLL 73 0 0 24 Jun 2024
Jacobian Descent for Multi-Objective Optimization Pierre Quinton Valérian Rey 95 3 0 23 Jun 2024
Controlling Forgetting with Test-Time Data in Continual Learning Vaibhav Singh Rahaf Aljundi Eugene Belilovsky CLL VLM KELM 74 3 0 19 Jun 2024
Finding Task-specific Subnetworks in Multi-task Spoken Language Understanding Model Hayato Futami Siddhant Arora Yosuke Kashiwagi E. Tsunoo Shinji Watanabe 86 1 0 18 Jun 2024
PromptDSI: Prompt-based Rehearsal-free Continual Learning for Document Retrieval Tuan-Luc Huynh Thuy-Trang Vu Weiqing Wang Yinwei Wei T. Le D. Gašević Yuan-Fang Li Thanh-Toan Do VLM CLL 117 1 0 18 Jun 2024
Dataset Condensation with Latent Quantile Matching Wei Wei Tom De Schepper Kevin Mets DD 81 2 0 14 Jun 2024
Predicting the Susceptibility of Examples to Catastrophic Forgetting Guy Hacohen Tinne Tuytelaars 55 3 0 14 Jun 2024
Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models Lukas Thede Karsten Roth Olivier J. Hénaff Matthias Bethge Zeynep Akata CLL 86 5 0 13 Jun 2024
Enhancing Domain Adaptation through Prompt Gradient Alignment Hoang Phan Lam C. Tran Quyen Tran Trung Le 182 1 0 13 Jun 2024
CCSI: Continual Class-Specific Impression for Data-free Class Incremental Learning Sana Ayromlou Teresa S. M. Tsang Purang Abolmaesumi Xiaoxiao Li CLL 61 2 0 09 Jun 2024
Data-Free Generative Replay for Class-Incremental Learning on Imbalanced Data Sohaib Younis Bernhard Seeger 66 0 0 07 Jun 2024
Revisiting Catastrophic Forgetting in Large Language Model Tuning Hongyu Li Liang Ding Meng Fang Dacheng Tao CLL KELM 84 19 0 07 Jun 2024
Efficient Continual Finite-Sum Minimization Ioannis Mavrothalassitis Stratis Skoulakis L. Dadi Volkan Cevher 80 0 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 61 3 0 07 Jun 2024
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning Yibo Yang Xiaojie Li Zhongzhu Zhou Shuaiwen Leon Song Jianlong Wu Liqiang Nie Guohao Li 110 14 0 07 Jun 2024
EdgeSync: Faster Edge-model Updating via Adaptive Continuous Learning for Video Data Drift Peng Zhao Runchu Dong Guiqin Wang Cong Zhao 98 2 0 05 Jun 2024
Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning Depeng Li Tianqi Wang Junwei Chen Wei Dai Zhigang Zeng CLL 94 1 0 04 Jun 2024
Parameterizing Federated Continual Learning for Reproducible Research Bart Cox Jeroen Galjaard Aditya Shankar Jérémie Decouchant Lydia Y. Chen FedML 90 0 0 04 Jun 2024
Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification M. A. Ma'sum Mahardhika Pratama Ramasamy Savitha Lin Liu Habibullah Habibullah Ryszard Kowalczyk CLL 127 2 0 04 Jun 2024
The Empirical Impact of Forgetting and Transfer in Continual Visual Odometry Paolo Cudrano Xiaoyu Luo Matteo Matteucci CLL 55 0 0 03 Jun 2024
Confidence-Based Task Prediction in Continual Disease Classification Using Probability Distribution Tanvi Verma Lukas Schwemer Mingrui Tan Fei Gao Yong Liu Huazhu Fu OOD 59 1 0 03 Jun 2024
Learning to Continually Learn with the Bayesian Principle Soochan Lee Hyeonseong Jeon Jaehyeon Son Gunhee Kim BDL CLL 65 4 0 29 May 2024
Provable Contrastive Continual Learning Yichen Wen Zhiquan Tan Kaipeng Zheng Chuanlong Xie Weiran Huang CLL 67 7 0 29 May 2024
Efficient Robot Learning for Perception and Mapping Niclas Vodisch SSL 85 0 0 23 May 2024
U-TELL: Unsupervised Task Expert Lifelong Learning Indu Solomon Aye Phyu Phyu Aung Uttam Kumar Senthilnath Jayavelu CLL 57 1 0 23 May 2024
Variational Bayes for Federated Continual Learning Dezhong Yao Sanmu Li Yutong Dai Zhiqiang Xu Shengshan Hu Peilin Zhao Lichao Sun FedML 87 1 0 23 May 2024
A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points Zihe Liu Jie Lu Guangquan Zhang Junyu Xuan 83 0 0 23 May 2024
ChronosLex: Time-aware Incremental Training for Temporal Generalization of Legal Classification Tasks Santosh T.Y.S.S Tuan-Quang Vuong Matthias Grabmair AILaw CLL 105 5 0 23 May 2024
Data-Free Federated Class Incremental Learning with Diffusion-Based Generative Memory Naibo Wang Yuchen Deng Wenjie Feng Yuxiang Cai See-Kiong Ng DiffM FedML 71 1 0 22 May 2024
Task agnostic continual learning with Pairwise layer architecture Santtu Keskinen CLL 67 1 0 22 May 2024
Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory Overfitting Challenge in Continual Learning Hikmat Khan Ghulam Rasool N. Bouaynaya AAML 55 0 0 20 May 2024
FeTT: Continual Class Incremental Learning via Feature Transformation Tuning Sunyuan Qiang Xuxin Lin Yanyan Liang Jun Wan Du Zhang CLL 96 1 0 20 May 2024
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning Nisha Lakshmana Raichur Lucas Heublein Tobias Feigl A. Rügamer Christopher Mutschler Felix Ott CLL BDL 115 9 0 17 May 2024
Towards Realistic Incremental Scenario in Class Incremental Semantic Segmentation Jihwan Kwak Sungmin Cha Taesup Moon CLL 70 0 0 16 May 2024
MGSER-SAM: Memory-Guided Soft Experience Replay with Sharpness-Aware Optimization for Enhanced Continual Learning Xingyu Li Bo Tang VLM CLL 64 0 0 15 May 2024
Overcoming Domain Drift in Online Continual Learning Fan Lyu Daofeng Liu Linglan Zhao Zhang Zhang Fanhua Shang Fuyuan Hu Wei Feng Liang Wang CLL 76 1 0 15 May 2024
Dynamic Feature Learning and Matching for Class-Incremental Learning Sunyuan Qiang Yanyan Liang Jun Wan Du Zhang CLL 105 3 0 14 May 2024
Machine Unlearning: A Comprehensive Survey Weiqi Wang Zhiyi Tian Chenhan Zhang Shui Yu MU AILaw 88 18 0 13 May 2024
Cross-Domain Continual Learning via CLAMP Weiwei Weng Mahardhika Pratama Jie Zhang Chen Chen E. Yapp Savitha Ramasamy 79 1 0 12 May 2024
A Methodology-Oriented Study of Catastrophic Forgetting in Incremental Deep Neural Networks Ashutosh Kumar Sonali Agarwal D. J. Hemanth 69 0 0 11 May 2024
COPAL: Continual Pruning in Large Language Generative Models Srikanth Malla Joon Hee Choi Chiho Choi VLM CLL 81 2 0 02 May 2024