Uncertainty-based Continual Learning with Adaptive Regularization

28 May 2019

Papers citing "Uncertainty-based Continual Learning with Adaptive Regularization"

42 / 42 papers shown

Title
Replay to Remember (R2R): An Efficient Uncertainty-driven Unsupervised Continual Learning Framework Using Generative Replay Sriram Mandalika Harsha Vardhan Athira Nambiar VLM 70 0 0 07 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
ProtoGuard-guided PROPEL: Class-Aware Prototype Enhancement and Progressive Labeling for Incremental 3D Point Cloud Segmentation Hao Li Yuecong Xu Junjie Chen Kemi Ding 3DPC CLL 42 0 0 02 Apr 2025
FeNeC: Enhancing Continual Learning via Feature Clustering with Neighbor- or Logit-Based Classification Kamil Książek Hubert Jastrzębski Bartosz Trojan Krzysztof Pniaczek Michał Karp Jacek Tabor CLL 79 0 0 18 Mar 2025
Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection Xinchen Zhang Running Zhao Zhihan Jiang Handi Chen Yulong Ding Edith C.H. Ngai Shuang-Hua Yang AAML 87 0 0 17 Feb 2025
Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation Christopher Angelini N. Bouaynaya BDL 33 0 0 18 Jan 2025
Adapter-Enhanced Semantic Prompting for Continual Learning Baocai Yin Ji Zhao Huajie Jiang Ningning Hou Yongli Hu Amin Beheshti Ming-Hsuan Yang Yuankai Qi CLL VLM 102 0 0 15 Dec 2024
Integrating Dual Prototypes for Task-Wise Adaption in Pre-Trained Model-Based Class-Incremental Learning Zhiming Xu Steve Yang Baile Xu Jian Zhao Furao Shen CLL 81 0 0 26 Nov 2024
Temporal-Difference Variational Continual Learning L. Melo Alessandro Abate Yarin Gal BDL CLL VLM 46 0 0 10 Oct 2024
M2Distill: Multi-Modal Distillation for Lifelong Imitation Learning Kaushik Roy Akila Dissanayake Brendan Tidd Peyman Moghadam CLL VLM 64 2 0 30 Sep 2024
Balanced Residual Distillation Learning for 3D Point Cloud Class-Incremental Semantic Segmentation Yuanzhi Su Siyuan Chen Yuan-Gen Wang CLL 34 2 0 02 Aug 2024
Background Adaptation with Residual Modeling for Exemplar-Free Class-Incremental Semantic Segmentation Anqi Zhang Guangyu Gao CLL VLM 41 4 0 13 Jul 2024
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning Huiyi Wang Haodong Lu Lina Yao Dong Gong KELM CLL 45 8 0 27 Mar 2024
HOP to the Next Tasks and Domains for Continual Learning in NLP Umberto Michieli Mete Ozay VLM 39 2 0 28 Feb 2024
Benchmarking Continual Learning from Cognitive Perspectives Xiaoqian Liu Junge Zhang Mingyi Zhang Peipei Yang 21 0 0 06 Dec 2023
Rethinking E-Commerce Search Haixun Wang Taesik Na 43 6 0 06 Dec 2023
Continual Learning of Diffusion Models with Generative Distillation Sergi Masip Pau Rodriguez Tinne Tuytelaars Gido M. van de Ven VLM DiffM 36 7 0 23 Nov 2023
A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm Haizhou Shi Hao Wang CLL 34 18 0 18 Oct 2023
Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer Boan Liu Liang Ding Li Shen Keqin Peng Yu Cao Dazhao Cheng Dacheng Tao MoE 36 7 0 15 Oct 2023
Remind of the Past: Incremental Learning with Analogical Prompts Zhiheng Ma Xiaopeng Hong Beinan Liu Yabin Wang Pinyue Guo Huiyun Li CLL 31 1 0 24 Mar 2023
Hierarchically Structured Task-Agnostic Continual Learning Heinke Hihn Daniel A. Braun BDL CLL 19 8 0 14 Nov 2022
A Theoretical Study on Solving Continual Learning Gyuhak Kim Changnan Xiao Tatsuya Konishi Zixuan Ke Bin Liu CLL 27 70 0 04 Nov 2022
Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation Xiaohan Zou Tong Lin CLL 26 2 0 03 Oct 2022
Optimizing Class Distribution in Memory for Multi-Label Online Continual Learning Yanyan Liang Wu-Jun Li CLL 16 8 0 23 Sep 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition Jorge Armando Mendez Mendez Eric Eaton KELM CLL 32 27 0 15 Jul 2022
Towards Diverse Evaluation of Class Incremental Learning: A Representation Learning Perspective Sungmin Cha Jihwan Kwak Dongsub Shim Hyunwoo J. Kim Moontae Lee Honglak Lee Taesup Moon CLL 28 1 0 16 Jun 2022
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks Zixuan Ke Hu Xu Bing-Quan Liu CLL 243 83 0 06 Dec 2021
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks Zixuan Ke Bing-Quan Liu Hu Xu Lei Shu CLL 31 55 0 05 Dec 2021
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning Zixuan Ke Bing-Quan Liu Nianzu Ma Hu Xu Lei Shu CLL 192 122 0 05 Dec 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler Bertrand Charpentier Simon Geisler Daniel Zügner Stephan Günnemann UQCV BDL 41 80 0 26 Oct 2021
Towards Better Plasticity-Stability Trade-off in Incremental Learning: A Simple Linear Connector Guoliang Lin Hanlu Chu Hanjiang Lai MoMe CLL 29 43 0 15 Oct 2021
Representational Continuity for Unsupervised Continual Learning Divyam Madaan Jaehong Yoon Yuanchun Li Yunxin Liu Sung Ju Hwang CLL SSL 66 111 0 13 Oct 2021
Recent Advances of Continual Learning in Computer Vision: An Overview Haoxuan Qu Hossein Rahmani Li Xu Bryan M. Williams Jun Liu VLM CLL 25 73 0 23 Sep 2021
Prototype-Guided Memory Replay for Continual Learning Stella Ho Ming Liu Lan Du Longxiang Gao Yong Xiang CLL 8 30 0 28 Aug 2021
Discriminative Distillation to Reduce Class Confusion in Continual Learning Changhong Zhong Z. Cui Ruixuan Wang Weishi Zheng 20 1 0 11 Aug 2021
Same State, Different Task: Continual Reinforcement Learning without Interference Samuel Kessler Jack Parker-Holder Philip J. Ball S. Zohren Stephen J. Roberts CLL OffRL 19 46 0 05 Jun 2021
Continual Learning for Recurrent Neural Networks: an Empirical Evaluation Andrea Cossu Antonio Carta Vincenzo Lomonaco D. Bacciu CLL 36 107 0 12 Mar 2021
Gradual Fine-Tuning for Low-Resource Domain Adaptation Haoran Xu Seth Ebner M. Yarmohammadi A. White Benjamin Van Durme Kenton W. Murray CLL 22 39 0 03 Mar 2021
Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping Prakhar Kaushik Alex Gain Adam Kortylewski Alan Yuille CLL 11 68 0 22 Feb 2021
Generalized Variational Continual Learning Noel Loo S. Swaroop Richard Turner BDL CLL 33 58 0 24 Nov 2020
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning Martin Mundt Yongjun Hong Iuliia Pliushch Visvanathan Ramesh CLL 30 146 0 03 Sep 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015