Uncertainty-guided Continual Learning with Bayesian Neural Networks

6 June 2019

Papers citing "Uncertainty-guided Continual Learning with Bayesian Neural Networks"

34 / 34 papers shown

Title
Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation Christopher Angelini N. Bouaynaya BDL 33 0 0 18 Jan 2025
Temporal-Difference Variational Continual Learning L. Melo Alessandro Abate Yarin Gal BDL CLL VLM 44 0 0 10 Oct 2024
Continual learning with the neural tangent ensemble Ari S. Benjamin Christian Pehle Kyle Daruwalla UQCV 54 0 0 30 Aug 2024
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning Chenyang Wang Junjun Jiang Xingyu Hu Xianming Liu Xiangyang Ji 37 2 0 12 Jan 2024
IW-GAE: Importance Weighted Group Accuracy Estimation for Improved Calibration and Model Selection in Unsupervised Domain Adaptation Taejong Joo Diego Klabjan 31 1 0 16 Oct 2023
Continual Learning of Natural Language Processing Tasks: A Survey Zixuan Ke Bin Liu KELM CLL VLM 19 68 0 23 Nov 2022
Hierarchically Structured Task-Agnostic Continual Learning Heinke Hihn Daniel A. Braun BDL CLL 19 8 0 14 Nov 2022
Efficient Bayesian Updates for Deep Learning via Laplace Approximations Denis Huseljic M. Herde Lukas Rauch Paul Hahn Zhixin Huang D. Kottke S. Vogt Bernhard Sick BDL 16 0 0 12 Oct 2022
Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation Xiaohan Zou Tong Lin CLL 13 2 0 03 Oct 2022
Bayesian Continual Learning via Spiking Neural Networks N. Skatchkovsky Hyeryung Jang Osvaldo Simeone BDL 28 17 0 29 Aug 2022
Rethinking Task-Incremental Learning Baselines Md. Rejwanul Hossain P. Saha T. Chowdhury Shafin Rahman Fuad Rahman Nabeel Mohammed CLL 22 5 0 23 May 2022
Incremental Learning with Differentiable Architecture and Forgetting Search James Smith Zachary Seymour Han-Pang Chiu OOD CLL AI4CE 34 4 0 19 May 2022
General Incremental Learning with Domain-aware Categorical Representations Jiangwei Xie Shipeng Yan Xuming He OOD CLL 14 38 0 08 Apr 2022
A Closer Look at Rehearsal-Free Continual Learning James Smith Junjiao Tian Shaunak Halbe Yen-Chang Hsu Z. Kira VLM CLL 13 57 0 31 Mar 2022
Optical Flow Training under Limited Label Budget via Active Learning Shuai Yuan Xian Sun Hannah Kim Shuzhi Yu Carlo Tomasi 13 10 0 09 Mar 2022
BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation Wenqiao Zhang Lei Zhu James Hallinan A. Makmur Shengyu Zhang Qingpeng Cai Beng Chin Ooi 30 79 0 04 Mar 2022
Domain-Aware Continual Zero-Shot Learning Kai Yi Paul Janson Wenxuan Zhang Mohamed Elhoseiny 35 4 0 24 Dec 2021
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness? Xinhsuai Dong Anh Tuan Luu Min-Bin Lin Shuicheng Yan Hanwang Zhang SILM AAML 16 55 0 22 Dec 2021
Towards General and Efficient Active Learning Yichen Xie M. Tomizuka Wei Zhan VLM 25 10 0 15 Dec 2021
CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation Yu Qiao Jincheng Zhu Chengjiang Long Zeyao Zhang Yuxin Wang Z. Du Xin Yang 30 13 0 11 Dec 2021
Neighborhood Spatial Aggregation MC Dropout for Efficient Uncertainty-aware Semantic Segmentation in Point Clouds Chao Qi Jianqin Yin UQCV 3DPC BDL 20 2 0 05 Dec 2021
Semi-Supervised Active Learning with Temporal Output Discrepancy Siyu Huang Tianyang Wang Haoyi Xiong Jun Huan Dejing Dou UQCV 20 66 0 29 Jul 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 30 1,108 0 07 Jul 2021
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning James Smith Yen-Chang Hsu John C. Balloch Yilin Shen Hongxia Jin Z. Kira CLL 46 161 0 17 Jun 2021
Distilled Replay: Overcoming Forgetting through Synthetic Samples Andrea Rosasco Antonio Carta Andrea Cossu Vincenzo Lomonaco D. Bacciu DD 11 47 0 29 Mar 2021
Gradient Projection Memory for Continual Learning Gobinda Saha Isha Garg Kaushik Roy VLM CLL 39 266 0 17 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
Linear Mode Connectivity in Multitask and Continual Learning Seyed Iman Mirzadeh Mehrdad Farajtabar Dilan Görür Razvan Pascanu H. Ghasemzadeh CLL 29 137 0 09 Oct 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 22 146 0 03 Sep 2020
Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics V. Ramasesh Ethan Dyer M. Raghu CLL 22 173 0 14 Jul 2020
Graph-Based Continual Learning Binh Tang David S. Matteson BDL CLL 13 36 0 09 Jul 2020
Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent Mehdi Abbana Bennani Thang Doan Masashi Sugiyama CLL 42 61 0 21 Jun 2020
Variational Adversarial Active Learning Samarth Sinha Sayna Ebrahimi Trevor Darrell GAN DRL VLM SSL 21 570 0 31 Mar 2019
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam Mohammad Emtiyaz Khan Didrik Nielsen Voot Tangkaratt Wu Lin Y. Gal Akash Srivastava ODL 74 266 0 13 Jun 2018