Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting

20 May 2018

Papers citing "Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting"

50 / 216 papers shown

Title
A Unified Gradient-based Framework for Task-agnostic Continual Learning-Unlearning Zhehao Huang Xinwen Cheng Jie Zhang Jinghao Zheng Haoran Wang Zhengbao He Tao Li Xiaolin Huang CLL 38 0 0 21 May 2025
A Conformal Predictive Measure for Assessing Catastrophic Forgetting Ioannis Pitsiorlas Nour Jamoussi Marios Kountouris 17 0 0 15 May 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
Task-conditioned Ensemble of Expert Models for Continuous Learning Renu Sharma Debasmita Pal Arun Ross OOD KELM 237 0 0 11 Apr 2025
Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning Nikhil Shivakumar Nayak Krishnateja Killamsetty Ligong Han Abhishek Bhandwaldar Prateek Chanda ... Hao Wang Aldo Pareja Oleg Silkin Mustafa Eyceoz Akash Srivastava CLL 55 0 0 09 Apr 2025
Memory-Statistics Tradeoff in Continual Learning with Structural Regularization Haoran Li Jingfeng Wu Vladimir Braverman CLL 42 0 0 05 Apr 2025
BECAME: BayEsian Continual Learning with Adaptive Model MErging Mei Li Yuxiang Lu Qinyan Dai Suizhi Huang Yue Ding Hongtao Lu CLL MoMe 51 0 0 03 Apr 2025
Continual Learning With Quasi-Newton Methods Steven Vander Eeckt Hugo Van hamme CLL BDL 69 0 0 25 Mar 2025
Staying Alive: Online Neural Network Maintenance and Systemic Drift Joshua Edward Hammond Tyler Soderstrom Brian A. Korgel Michael Baldea 48 0 0 22 Mar 2025
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection Yuhang Liu Wenjie Zhao Yunhui Guo OODD 79 0 0 19 Mar 2025
EFC++: Elastic Feature Consolidation with Prototype Re-balancing for Cold Start Exemplar-free Incremental Learning Simone Magistri Tomaso Trinci Albin Soutif--Cormerais Joost van de Weijer Andrew D. Bagdanov 47 0 0 13 Mar 2025
Sequential Function-Space Variational Inference via Gaussian Mixture Approximation Menghao Waiyan William Zhu Pengcheng Hao E. Kuruoglu BDL 48 0 0 10 Mar 2025
CSTRL: Context-Driven Sequential Transfer Learning for Abstractive Radiology Report Summarization Mst. Fahmida Sultana Naznin Adnan Ibney Faruq Mostafa Rifat Tazwar Md Jobayer Md. Mehedi Hasan Shawon Md Rakibul Hasan MedIm 41 0 0 21 Feb 2025
Theory on Mixture-of-Experts in Continual Learning Hongbo Li Sen-Fon Lin Lingjie Duan Yingbin Liang Ness B. Shroff MoE MoMe CLL 155 14 0 20 Feb 2025
On the Computation of the Fisher Information in Continual Learning Gido M. van de Ven FedML 54 1 0 17 Feb 2025
VLM-Assisted Continual learning for Visual Question Answering in Self-Driving Yuxin Lin Mengshi Qi Liang Liu Huadong Ma CLL 48 1 0 02 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
Investigating Plausibility of Biologically Inspired Bayesian Learning in ANNs Ram Zaveri CLL 70 0 0 27 Nov 2024
Targeting Negative Flips in Active Learning using Validation Sets Ryan Benkert Mohit Prabhushankar Ghassan AlRegib AAML 45 0 0 16 Nov 2024
Stein Variational Newton Neural Network Ensembles Klemens Flöge Mohammed Abdul Moeed Vincent Fortuin BDL UQCV 37 0 0 04 Nov 2024
Debiasing Mini-Batch Quadratics for Applications in Deep Learning Lukas Tatzel Bálint Mucsányi Osane Hackel Philipp Hennig 51 0 0 18 Oct 2024
Overcoming Domain Limitations in Open-vocabulary Segmentation Dongjun Hwang Seong Joon Oh Junsuk Choe SSeg OOD 66 0 0 15 Oct 2024
Temporal-Difference Variational Continual Learning Luckeciano C. Melo Alessandro Abate Yarin Gal BDL CLL VLM 46 0 0 10 Oct 2024
Efficient Weight-Space Laplace-Gaussian Filtering and Smoothing for Sequential Deep Learning Joanna Sliwa Frank Schneider Nathanael Bosch Agustinus Kristiadi Philipp Hennig BDL CLL 53 2 0 09 Oct 2024
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement Zhehao Huang Xinwen Cheng Jinghao Zheng Haoran Wang Zhengbao He Tao Li Xiaolin Huang MU 47 7 0 29 Sep 2024
Continual learning with the neural tangent ensemble Ari S. Benjamin Christian Pehle Kyle Daruwalla UQCV 70 0 0 30 Aug 2024
A Unified Framework for Continual Learning and Machine Unlearning Romit Chatterjee Vikram S Chundawat Ayush K Tarun Ankur Mali Murari Mandal CLL MU 35 1 0 21 Aug 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
Constructing Enhanced Mutual Information for Online Class-Incremental Learning Huan Zhang Fan Lyu Shenghua Fan Yujin Zheng Dingwen Wang CLL 45 0 0 26 Jul 2024
Local vs Global continual learning Giulia Lanzillotta Sidak Pal Singh Benjamin Grewe Thomas Hofmann CLL 50 0 0 23 Jul 2024
Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learning Qifan Zhang Yunhui Guo Yu Xiang CLL VLM 58 0 0 18 Jul 2024
Background Adaptation with Residual Modeling for Exemplar-Free Class-Incremental Semantic Segmentation Anqi Zhang Guangyu Gao CLL VLM 58 4 0 13 Jul 2024
Certified Continual Learning for Neural Network Regression Long H. Pham Jun Sun 38 1 0 09 Jul 2024
Forgetting Order of Continual Learning: Examples That are Learned First are Forgotten Last Guy Hacohen Tinne Tuytelaars 42 2 0 14 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 49 7 0 06 Jun 2024
Provable Contrastive Continual Learning Yichen Wen Zhiquan Tan Kaipeng Zheng Chuanlong Xie Weiran Huang CLL 34 4 0 29 May 2024
Gradients of Functions of Large Matrices Nicholas Krämer Pablo Moreno-Muñoz Hrittik Roy Søren Hauberg 40 0 0 27 May 2024
Beyond Unimodal Learning: The Importance of Integrating Multiple Modalities for Lifelong Learning F. Sarfraz Bahram Zonooz Elahe Arani CLL 42 2 0 04 May 2024
Continual Learning of Large Language Models: A Comprehensive Survey Haizhou Shi Zihao Xu Hengyi Wang Weiyi Qin Wenyuan Wang Yibin Wang Zifeng Wang Sayna Ebrahimi Hao Wang CLL KELM LRM 59 65 0 25 Apr 2024
Continual Few-shot Event Detection via Hierarchical Augmentation Networks Chenlong Zhang Pengfei Cao Yubo Chen Kang Liu Qing Cui Mengshu Sun Jun Zhao 45 3 0 26 Mar 2024
On the Laplace Approximation as Model Selection Criterion for Gaussian Processes Andreas Besginow J. D. Hüwel Thomas Pawellek Christian Beecks Markus Lange-Hegermann 18 0 0 14 Mar 2024
Semantic Residual Prompts for Continual Learning Martin Menabue Emanuele Frascaroli Matteo Boschini E. Sangineto Lorenzo Bonicelli Angelo Porrello Simone Calderara CLL VLM 49 9 0 11 Mar 2024
Continual Learning and Catastrophic Forgetting Gido M. van de Ven Nicholas Soures Dhireesha Kudithipudi 45 49 0 08 Mar 2024
Making Pre-trained Language Models Better Continual Few-Shot Relation Extractors Shengkun Ma Jiale Han Yi Liang Bo Cheng CLL VLM 35 6 0 24 Feb 2024
Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models Didi Zhu Zhongyi Sun Zexi Li Tao Shen Ke Yan Shouhong Ding Kun Kuang Chao Wu CLL KELM MoMe 77 25 0 19 Feb 2024
Active Preference Learning for Large Language Models William Muldrew Peter Hayes Mingtian Zhang David Barber 39 16 0 12 Feb 2024
Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning Simone Magistri Tomaso Trinci Albin Soutif--Cormerais Joost van de Weijer Andrew D. Bagdanov 39 18 0 06 Feb 2024
Continual Learning via Sequential Function-Space Variational Inference Tim G. J. Rudner Freddie Bickford-Smith Qixuan Feng Yee Whye Teh Y. Gal 30 39 0 28 Dec 2023
Learning and Forgetting Unsafe Examples in Large Language Models Jiachen Zhao Zhun Deng David Madras James Zou Mengye Ren MU KELM CLL 94 16 0 20 Dec 2023
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy Everton L. Aleixo J. Colonna Marco Cristo Everlandio Fernandes CLL 62 23 0 16 Dec 2023