Measuring Catastrophic Forgetting in Neural Networks

7 August 2017

Papers citing "Measuring Catastrophic Forgetting in Neural Networks"

50 / 136 papers shown

Title
A Conformal Predictive Measure for Assessing Catastrophic Forgetting Ioannis Pitsiorlas Nour Jamoussi Marios Kountouris 17 0 0 15 May 2025
Leveraging Partial SMILES Validation Scheme for Enhanced Drug Design in Reinforcement Learning Frameworks Xinyu Wang Jinbo Bi Minghu Song CLL 69 0 0 01 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
Self-Controlled Dynamic Expansion Model for Continual Learning RunQing Wu KaiHui Huang HanYi Zhang Fei Ye CLL VLM 50 0 0 14 Apr 2025
LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning Xuan Liu Xiaobin Chang CLL 269 0 0 23 Mar 2025
Cross-Domain Continual Learning for Edge Intelligence in Wireless ISAC Networks Jingzhi Hu Xin Li Zhou Su Jun Luo 73 0 0 18 Feb 2025
Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model RunQing Wu Fei Ye QiHe Liu Guoxi Huang Jinyu Guo Rongyao Hu CLL 253 0 0 15 Jan 2025
Persistence of Backdoor-based Watermarks for Neural Networks: A Comprehensive Evaluation Anh Tu Ngo Chuan Song Heng Nandish Chattopadhyay Anupam Chattopadhyay AAML 222 0 0 06 Jan 2025
Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning Anthony Kobanda Rémy Portelas Odalric-Ambrym Maillard Ludovic Denoyer OffRL CLL 89 0 0 19 Dec 2024
Unsupervised Replay Strategies for Continual Learning with Limited Data Anthony Bazhenov Pahan Dewasurendra G. Krishnan Jean Erik Delanois CLL 24 0 0 21 Oct 2024
Tiny Robotics Dataset and Benchmark for Continual Object Detection Francesco Pasti Riccardo De Monte Davide Dalle Pezze Gian Antonio Susto Nicola Bellotto 47 1 0 24 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
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 83 3 0 30 Jul 2024
Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning Yeongbin Seo Dongha Lee Jinyoung Yeo CLL KELM 100 1 0 24 Jul 2024
The Fabrication of Reality and Fantasy: Scene Generation with LLM-Assisted Prompt Interpretation Yi Yao Chan-Feng Hsu Jhe-Hao Lin Hongxia Xie Terence Lin Yi-Ning Huang Hong-Han Shuai Wen-Huang Cheng DiffM 39 4 0 17 Jul 2024
GemmAr: Enhancing LLMs Through Arabic Instruction-Tuning Hasna Chouikhi Manel Aloui Cyrine Ben Hammou Ghaith Chaabane Haithem Kchaou Chehir Dhaouadi 44 0 0 02 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 82 1 0 21 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 47 5 0 13 Jun 2024
Benchmark Data Contamination of Large Language Models: A Survey Cheng Xu Shuhao Guan Derek Greene Mohand-Tahar Kechadi ELM ALM 40 41 0 06 Jun 2024
Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting Suraj Anand Michael A. Lepori Jack Merullo Ellie Pavlick CLL 36 7 0 28 May 2024
KAN: Kolmogorov-Arnold Networks Ziming Liu Yixuan Wang Sachin Vaidya Fabian Ruehle James Halverson Marin Soljacic Thomas Y. Hou Max Tegmark 98 487 0 30 Apr 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
Toward industrial use of continual learning : new metrics proposal for class incremental learning Mohamed Abbas Konaté A. Yao T. Chateau P. Bouges CLL 24 0 0 10 Apr 2024
Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art Neeloy Chakraborty Melkior Ornik Katherine Driggs-Campbell LRM 57 9 0 25 Mar 2024
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift Renchunzi Xie Ambroise Odonnat Vasilii Feofanov I. Redko Jianfeng Zhang Bo An UQCV 80 1 0 17 Jan 2024
Federated Continual Learning via Knowledge Fusion: A Survey Xin Yang Hao Yu Xin Gao Hao Wang Junbo Zhang Tianrui Li FedML 41 33 0 27 Dec 2023
Benchmarking Continual Learning from Cognitive Perspectives Xiaoqian Liu Junge Zhang Mingyi Zhang Peipei Yang 21 0 0 06 Dec 2023
Efficient Rehearsal Free Zero Forgetting Continual Learning using Adaptive Weight Modulation Yonatan Sverdlov Shimon Ullman 34 0 0 26 Nov 2023
FLTrojan: Privacy Leakage Attacks against Federated Language Models Through Selective Weight Tampering Md. Rafi Ur Rashid Vishnu Asutosh Dasu Kang Gu Najrin Sultana Shagufta Mehnaz AAML FedML 49 10 0 24 Oct 2023
Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance Dongao Ma Jiaxuan Pang Michael B. Gotway Jianming Liang MedIm OOD 33 8 0 14 Oct 2023
Elephant Neural Networks: Born to Be a Continual Learner Qingfeng Lan A. Rupam Mahmood CLL 56 9 0 02 Oct 2023
Machine Learning Meets Advanced Robotic Manipulation Saeid Nahavandi R. Alizadehsani D. Nahavandi Chee Peng Lim Kevin Kelly Fernando Bello 24 17 0 22 Sep 2023
Measuring Catastrophic Forgetting in Cross-Lingual Transfer Paradigms: Exploring Tuning Strategies Boshko Koloski Blaž Škrlj Marko Robnik-Šikonja Senja Pollak CLL 27 2 0 12 Sep 2023
Detect, Augment, Compose, and Adapt: Four Steps for Unsupervised Domain Adaptation in Object Detection M. L. Mekhalfi Davide Boscaini Fabio Poiesi 35 6 0 29 Aug 2023
Rethinking Client Drift in Federated Learning: A Logit Perspective Yu-bao Yan Chun-Mei Feng Senior Member Ieee Wangmeng Zuo Senior Member Ieee Mang Ye Mong Goh Ping Li Rick Siow Lei Zhu F. I. C. L. Philip Chen FedML 42 8 0 20 Aug 2023
On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision Transformers Thomas De Min Massimiliano Mancini Alahari Karteek Xavier Alameda-Pineda Elisa Ricci CLL 31 9 0 18 Aug 2023
Evaluation of Regularization-based Continual Learning Approaches: Application to HAR B. Kann Sandra Castellanos-Paez P. Lalanda 21 3 0 26 Apr 2023
MadEye: Boosting Live Video Analytics Accuracy with Adaptive Camera Configurations M. Wong M. Ramanujam Guha Balakrishnan Ravi Netravali 34 4 0 04 Apr 2023
How Efficient Are Today's Continual Learning Algorithms? Md Yousuf Harun Jhair Gallardo Tyler L. Hayes Christopher Kanan 26 24 0 29 Mar 2023
A Survey of Machine Learning-Based Ride-Hailing Planning Dacheng Wen Yupeng Li F. Lau 29 4 0 26 Mar 2023
Learned Two-Plane Perspective Prior based Image Resampling for Efficient Object Detection Anurag Ghosh Dinesh Reddy Narapureddy Christoph Mertz S. Narasimhan 28 4 0 25 Mar 2023
Prismer: A Vision-Language Model with Multi-Task Experts Shikun Liu Linxi Fan Edward Johns Zhiding Yu Chaowei Xiao Anima Anandkumar VLM MLLM 49 21 0 04 Mar 2023
Understanding plasticity in neural networks Clare Lyle Zeyu Zheng Evgenii Nikishin Bernardo Avila-Pires Razvan Pascanu Will Dabney AI4CE 42 98 0 02 Mar 2023
GNNDelete: A General Strategy for Unlearning in Graph Neural Networks Jiali Cheng George Dasoulas Huan He Chirag Agarwal Marinka Zitnik MU 47 37 0 26 Feb 2023
Restricted Orthogonal Gradient Projection for Continual Learning Zeyuan Yang Zonghan Yang Peng Li Yang Liu CLL 34 4 0 28 Jan 2023
Streaming LifeLong Learning With Any-Time Inference S. Banerjee Vinay Kumar Verma Vinay P. Namboodiri CLL 35 3 0 27 Jan 2023
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems Megan M. Baker Alexander New Mario Aguilar-Simon Ziad Al-Halah Sébastien M. R. Arnold ... Zifan Xu A. Yanguas-Gil Harel Yedidsion Shangqun Yu Gautam K. Vallabha 35 16 0 18 Jan 2023
HierVL: Learning Hierarchical Video-Language Embeddings Kumar Ashutosh Rohit Girdhar Lorenzo Torresani Kristen Grauman VLM AI4TS 30 53 0 05 Jan 2023
Detecting Information Relays in Deep Neural Networks A. Hintze C. Adami 28 4 0 03 Jan 2023
Selective Amnesia: On Efficient, High-Fidelity and Blind Suppression of Backdoor Effects in Trojaned Machine Learning Models Rui Zhu Di Tang Siyuan Tang Xiaofeng Wang Haixu Tang AAML FedML 37 13 0 09 Dec 2022