REMIND Your Neural Network to Prevent Catastrophic Forgetting

6 October 2019

Papers citing "REMIND Your Neural Network to Prevent Catastrophic Forgetting"

50 / 176 papers shown

Title
Autoencoder-Based Hybrid Replay for Class-Incremental Learning M. Nori Il Kim Guanghui Wang CLL 42 0 0 09 May 2025
Noise-Tolerant Coreset-Based Class Incremental Continual Learning Edison Mucllari Aswin Raghavan Z. Daniels CLL NoLa 55 0 0 23 Apr 2025
Continual Learning Strategies for 3D Engineering Regression Problems: A Benchmarking Study Kaira M. Samuel Faez Ahmed 43 0 0 16 Apr 2025
Boosting-inspired online learning with transfer for railway maintenance Diogo Risca Afonso Lourenço Goreti Marreiros 16 0 0 11 Apr 2025
Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation Hongmei Yin Tingliang Feng Fan Lyu Fanhua Shang Hongying Liu Wei Feng Liang Wan CLL VLM 69 0 0 28 Mar 2025
Efficient Continual Learning through Frequency Decomposition and Integration Ruiqi Liu Boyu Diao Libo Huang Hangda Liu Chuanguang Yang Zhulin An Y. Xu CLL 33 0 0 28 Mar 2025
Continual Person Identification using Footstep-Induced Floor Vibrations on Heterogeneous Floor Structures Yiwen Dong Hae Young Noh 52 9 0 24 Feb 2025
MADAR: Efficient Continual Learning for Malware Analysis with Diversity-Aware Replay Mohammad Saidur Rahman Scott E. Coull Qi Yu M. Wright AAML 46 0 0 09 Feb 2025
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting M. Nori Il Kim Guanghui CLL 60 0 0 26 Jan 2025
Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric Videos Yanlai Yang Mengye Ren 90 0 0 21 Jan 2025
Online-LoRA: Task-free Online Continual Learning via Low Rank Adaptation Xiwen Wei Guihong Li R. Marculescu 37 2 0 08 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
Prospective Learning: Learning for a Dynamic Future Ashwin De Silva Rahul Ramesh Rubing Yang Siyu Yu Joshua T. Vogelstein Pratik Chaudhari AI4TS 58 0 0 31 Oct 2024
Task Confusion and Catastrophic Forgetting in Class-Incremental Learning: A Mathematical Framework for Discriminative and Generative Modelings M. Nori Il Kim CLL 34 3 0 28 Oct 2024
Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling Minhyuk Seo Hyunseo Koh Jonghyun Choi 29 1 0 19 Oct 2024
Recent Advances of Multimodal Continual Learning: A Comprehensive Survey Dianzhi Yu Xinni Zhang Yankai Chen Aiwei Liu Yifei Zhang Philip S. Yu Irwin King VLM CLL 39 9 0 07 Oct 2024
Patch-Based Contrastive Learning and Memory Consolidation for Online Unsupervised Continual Learning Cameron Taylor Vassilis Vassiliades C. Dovrolis CLL 26 0 0 24 Sep 2024
DARDA: Domain-Aware Real-Time Dynamic Neural Network Adaptation Shahriar Rifat Jonathan D. Ashdown Francesco Restuccia TTA 26 0 0 15 Sep 2024
Selective Self-Rehearsal: A Fine-Tuning Approach to Improve Generalization in Large Language Models Sonam Gupta Yatin Nandwani Asaf Yehudai Mayank Mishra Gaurav Pandey Dinesh Raghu Sachindra Joshi LRM 20 1 0 07 Sep 2024
SLCA++: Unleash the Power of Sequential Fine-tuning for Continual Learning with Pre-training Gengwei Zhang Liyuan Wang Guoliang Kang Ling Chen Yunchao Wei VLM CLL 34 2 0 15 Aug 2024
Constructing Enhanced Mutual Information for Online Class-Incremental Learning Huan Zhang Fan Lyu Shenghua Fan Yujin Zheng Dingwen Wang CLL 29 0 0 26 Jul 2024
AI Act for the Working Programmer Holger Hermanns Anne Lauber-Rönsberg Philip Meinel Sarah Sterz Hanwei Zhang 25 1 0 23 Jul 2024
FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification Markus Weißflog P. Protzel Peer Neubert 23 1 0 17 Jul 2024
Continual Learning for Adaptable Car-Following in Dynamic Traffic Environments Xianda Chen PakHin Tiu Xu Han Junjie Chen Yuanfei Wu Xinhu Zheng Meixin Zhu 35 0 0 17 Jul 2024
MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection Zhuoxiao Chen Junjie Meng Mahsa Baktashmotlagh Yonggang Zhang Zi Huang Yadan Luo 72 0 0 21 Jun 2024
Efficient Multi-View Fusion and Flexible Adaptation to View Missing in Cardiovascular System Signals Qihan Hu Daomiao Wang Hong Wu Jian Liu Cuiwei Yang 33 0 0 13 Jun 2024
Memorization in deep learning: A survey Jiaheng Wei Yanjun Zhang Leo Yu Zhang Ming Ding Chao Chen Kok-Leong Ong Jun Zhang Yang Xiang 40 5 0 06 Jun 2024
Open Problem: Active Representation Learning Nikola Milosevic Gesine Müller Jan Huisken Nico Scherf 21 1 0 06 Jun 2024
Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning Depeng Li Tianqi Wang Junwei Chen Wei Dai Zhigang Zeng CLL 33 1 0 04 Jun 2024
Statistical Context Detection for Deep Lifelong Reinforcement Learning Jeffery Dick Saptarshi Nath Christos Peridis Eseoghene Ben-Iwhiwhu Soheil Kolouri Andrea Soltoggio OffRL 45 0 0 29 May 2024
What Variables Affect Out-Of-Distribution Generalization in Pretrained Models? Md Yousuf Harun Kyungbok Lee Jhair Gallardo Giri Krishnan Christopher Kanan 26 2 0 23 May 2024
Towards An Online Incremental Approach to Predict Students Performance Chahrazed Labba Anne Boyer CLL 13 0 0 03 May 2024
Integrating Present and Past in Unsupervised Continual Learning Yipeng Zhang Laurent Charlin R. Zemel Mengye Ren CLL 16 2 0 29 Apr 2024
Watch Your Step: Optimal Retrieval for Continual Learning at Scale Truman Hickok Dhireesha Kudithipudi 30 0 0 16 Apr 2024
DELTA: Decoupling Long-Tailed Online Continual Learning S. Raghavan Jiangpeng He F. Zhu 64 2 0 06 Apr 2024
Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning Mohamed Elsayed A. R. Mahmood CLL 37 19 0 31 Mar 2024
Convolutional Prompting meets Language Models for Continual Learning Anurag Roy Riddhiman Moulick Vinay K. Verma Saptarshi Ghosh Abir Das VLM CLL LRM 29 12 0 29 Mar 2024
Generative Multi-modal Models are Good Class-Incremental Learners Xusheng Cao Haori Lu Linlan Huang Xialei Liu Ming-Ming Cheng CLL 41 10 0 27 Mar 2024
Recommendation of data-free class-incremental learning algorithms by simulating future data Eva Feillet Adrian Daniel Popescu C´eline Hudelot 38 0 0 26 Mar 2024
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks Philip Matthias Winter M. Wimmer David Major Dimitrios Lenis Astrid Berg Theresa Neubauer Gaia Romana De Paolis Johannes Novotny Sophia Ulonska Katja Bühler 34 0 0 18 Mar 2024
Just Say the Name: Online Continual Learning with Category Names Only via Data Generation Minhyuk Seo Diganta Misra Seongwon Cho Minjae Lee Jonghyun Choi CLL 33 6 0 16 Mar 2024
PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay for Smart Healthcare Chia-Hao Li N. Jha MedIm 19 0 0 13 Mar 2024
Coherent Temporal Synthesis for Incremental Action Segmentation Guodong Ding Hans Golong Angela Yao CLL 19 4 0 10 Mar 2024
Continual Learning and Catastrophic Forgetting Gido M. van de Ven Nicholas Soures Dhireesha Kudithipudi 16 46 0 08 Mar 2024
MS-Net: A Multi-Path Sparse Model for Motion Prediction in Multi-Scenes Xiaqiang Tang Weigao Sun Siyuan Hu Yiyang Sun Yafeng Guo 35 4 0 01 Mar 2024
ACTrack: Adding Spatio-Temporal Condition for Visual Object Tracking Yushan Han Kaer Huang 24 0 0 27 Feb 2024
Continual Domain Adversarial Adaptation via Double-Head Discriminators Yan Shen Zhanghexuan Ji Chunwei Ma Mingchen Gao TTA 8 2 0 05 Feb 2024
Vaccine: Perturbation-aware Alignment for Large Language Model Tiansheng Huang Sihao Hu Ling Liu 42 32 0 02 Feb 2024
Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding Depeng Li Tianqi Wang Junwei Chen Qining Ren Kenji Kawaguchi Zhigang Zeng CLL 38 6 0 17 Jan 2024
Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention Xin Yang Wending Yan Yuan. Yuan Michael Bi Mi Robby T. Tan CLL 34 4 0 15 Jan 2024