Uncertainty-based Continual Learning with Adaptive Regularization

28 May 2019

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

34 / 34 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 176 0 0 07 May 2025
ProtoGuard-guided PROPEL: Class-Aware Prototype Enhancement and Progressive Labeling for Incremental 3D Point Cloud Segmentation Haoyang Li Yuecong Xu Junjie Chen Kemi Ding 3DPC CLL 104 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 206 0 0 18 Mar 2025
CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained Models Shengzhuang Chen Yikai Liao Xiaoxiao Sun Kede Ma Ying Wei 107 0 0 06 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 205 0 0 17 Feb 2025
Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation Christopher Angelini N. Bouaynaya BDL 66 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 174 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 154 0 0 26 Nov 2024
Temporal-Difference Variational Continual Learning Luckeciano C. Melo Alessandro Abate Yarin Gal BDL CLL VLM 109 0 0 10 Oct 2024
Balanced Residual Distillation Learning for 3D Point Cloud Class-Incremental Semantic Segmentation Yuanzhi Su Siyuan Chen Yuan-Gen Wang CLL 80 3 0 02 Aug 2024
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning Huiyi Wang Haodong Lu Lina Yao Dong Gong KELM CLL 84 11 0 27 Mar 2024
Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates Daniele Angioni Christian Scano Maura Pintor Luca Oneto Davide Anguita Battista Biggio Fabio Roli AAML 76 3 0 27 Feb 2024
Progress & Compress: A scalable framework for continual learning Jonathan Richard Schwarz Jelena Luketina Wojciech M. Czarnecki A. Grabska-Barwinska Yee Whye Teh Razvan Pascanu R. Hadsell CLL 118 888 0 16 May 2018
Continual Lifelong Learning with Neural Networks: A Review G. I. Parisi Ronald Kemker Jose L. Part Christopher Kanan S. Wermter KELM CLL 180 2,883 0 21 Feb 2018
Overcoming catastrophic forgetting with hard attention to the task Joan Serrà Dídac Surís M. Miron Alexandros Karatzoglou CLL 101 1,075 0 04 Jan 2018
FearNet: Brain-Inspired Model for Incremental Learning Ronald Kemker Christopher Kanan CLL 107 478 0 28 Nov 2017
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning Arun Mallya Svetlana Lazebnik CLL 105 1,298 0 15 Nov 2017
Variational Continual Learning Cuong V Nguyen Yingzhen Li T. Bui Richard Turner CLL VLM BDL 79 732 0 29 Oct 2017
Lifelong Learning with Dynamically Expandable Networks Jaehong Yoon Eunho Yang Jeongtae Lee Sung Ju Hwang CLL 119 1,222 0 04 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 473 19,006 0 20 Jul 2017
Gradient Episodic Memory for Continual Learning David Lopez-Paz MarcÁurelio Ranzato VLM CLL 119 2,711 0 26 Jun 2017
Parameter Space Noise for Exploration Matthias Plappert Rein Houthooft Prafulla Dhariwal Szymon Sidor Richard Y. Chen Xi Chen Tamim Asfour Pieter Abbeel Marcin Andrychowicz 54 596 0 06 Jun 2017
Continual Learning with Deep Generative Replay Hanul Shin Jung Kwon Lee Jaehong Kim Jiwon Kim KELM CLL 80 2,069 0 24 May 2017
Overcoming Catastrophic Forgetting by Incremental Moment Matching Sang-Woo Lee Jin-Hwa Kim Jaehyun Jun Jung-Woo Ha Byoung-Tak Zhang CLL 68 676 0 24 Mar 2017
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 137 3,754 0 23 Nov 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 290 4,400 0 29 Jun 2016
Progressive Neural Networks Andrei A. Rusu Neil C. Rabinowitz Guillaume Desjardins Hubert Soyer J. Kirkpatrick Koray Kavukcuoglu Razvan Pascanu R. Hadsell CLL AI4CE 77 2,446 0 15 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,814 0 10 Dec 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 815 9,302 0 06 Jun 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 342 19,634 0 09 Mar 2015
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks José Miguel Hernández-Lobato Ryan P. Adams UQCV BDL 127 944 0 18 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 320 18,609 0 06 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.7K 150,006 0 22 Dec 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 445 16,940 0 20 Dec 2013