Temporal-Difference Variational Continual Learning

10 October 2024

Papers citing "Temporal-Difference Variational Continual Learning"

35 / 35 papers shown

Title
Deep Bayesian Active Learning for Preference Modeling in Large Language Models Luckeciano C. Melo P. Tigas Alessandro Abate Yarin Gal 75 11 0 14 Jun 2024
Efficient Exploration for LLMs Vikranth Dwaracherla S. Asghari Botao Hao Benjamin Van Roy LLMAG 55 22 0 01 Feb 2024
Continual Learning via Sequential Function-Space Variational Inference Tim G. J. Rudner Freddie Bickford-Smith Qixuan Feng Yee Whye Teh Y. Gal 44 40 0 28 Dec 2023
Bayesian Low-rank Adaptation for Large Language Models Adam X. Yang Maxime Robeyns Xi Wang Laurence Aitchison AI4CE BDL 72 52 0 24 Aug 2023
Parameter-Level Soft-Masking for Continual Learning Tatsuya Konishi M. Kurokawa C. Ono Zixuan Ke Gyuhak Kim Bin Liu CLL 51 37 0 26 Jun 2023
Modern Bayesian Experimental Design Tom Rainforth Adam Foster Desi R. Ivanova Freddie Bickford-Smith 64 85 0 28 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and Application Liyuan Wang Xingxing Zhang Hang Su Jun Zhu KELM CLL 123 670 0 31 Jan 2023
Continual task learning in natural and artificial agents Timo Flesch Andrew M. Saxe Christopher Summerfield CLL 45 25 0 10 Oct 2022
Continual Learning with Recursive Gradient Optimization Hao Liu Huaping Liu VLM CLL 117 37 0 29 Jan 2022
Rainbow Memory: Continual Learning with a Memory of Diverse Samples Jihwan Bang Heesu Kim Y. Yoo Jung-Woo Ha Jonghyun Choi CLL 72 331 0 31 Mar 2021
Generalized Variational Continual Learning Noel Loo S. Swaroop Richard Turner BDL CLL 50 59 0 24 Nov 2020
Continual Deep Learning by Functional Regularisation of Memorable Past Pingbo Pan S. Swaroop Alexander Immer Runa Eschenhagen Richard Turner Mohammad Emtiyaz Khan KELM CLL 41 142 0 29 Apr 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 291 10,591 0 17 Feb 2020
Bayesian Structure Adaptation for Continual Learning Abhishek Kumar Sunabha Chatterjee Piyush Rai CLL BDL 32 30 0 08 Dec 2019
Continual Learning with Adaptive Weights (CLAW) T. Adel Han Zhao Richard Turner CLL 40 73 0 21 Nov 2019
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning L. Zintgraf K. Shiarlis Maximilian Igl Sebastian Schulze Y. Gal Katja Hofmann Shimon Whiteson OffRL 53 276 0 18 Oct 2019
Uncertainty-guided Continual Learning with Bayesian Neural Networks Sayna Ebrahimi Mohamed Elhoseiny Trevor Darrell Marcus Rohrbach CLL BDL 50 196 0 06 Jun 2019
Meta-Learning Representations for Continual Learning Khurram Javed Martha White KELM CLL 77 319 0 29 May 2019
Uncertainty-based Continual Learning with Adaptive Regularization Hongjoon Ahn Sungmin Cha Donggyu Lee Taesup Moon BDL 56 214 0 28 May 2019
Functional Regularisation for Continual Learning with Gaussian Processes Michalis K. Titsias Jonathan Richard Schwarz A. G. Matthews Razvan Pascanu Yee Whye Teh CLL BDL 61 186 0 31 Jan 2019
Continual Learning of Context-dependent Processing in Neural Networks Guanxiong Zeng Yang Chen Bo Cui Shan Yu CLL 72 306 0 29 Sep 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 255 670 0 07 Jun 2018
Towards Robust Evaluations of Continual Learning Sebastian Farquhar Y. Gal CLL 78 307 0 24 May 2018
Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting H. Ritter Aleksandar Botev David Barber BDL CLL 81 329 0 20 May 2018
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 108 886 0 16 May 2018
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence Arslan Chaudhry P. Dokania Thalaiyasingam Ajanthan Philip Torr CLL 86 1,137 0 30 Jan 2018
Overpruning in Variational Bayesian Neural Networks Brian L. Trippe Richard Turner BDL 49 53 0 18 Jan 2018
Overcoming catastrophic forgetting with hard attention to the task Joan Serrà Dídac Surís M. Miron Alexandros Karatzoglou CLL 93 1,074 0 04 Jan 2018
Variational Continual Learning Cuong V Nguyen Yingzhen Li T. Bui Richard Turner CLL VLM BDL 77 732 0 29 Oct 2017
Gradient Episodic Memory for Continual Learning David Lopez-Paz MarcÁurelio Ranzato VLM CLL 103 2,705 0 26 Jun 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 326 4,700 0 15 Mar 2017
Deep Bayesian Active Learning with Image Data Y. Gal Riashat Islam Zoubin Ghahramani BDL UQCV 64 1,731 0 08 Mar 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 309 7,478 0 02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 118 3,741 0 23 Nov 2016
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks Ian Goodfellow M. Berk Mirza Xia Da Aaron Courville Yoshua Bengio 137 1,439 0 21 Dec 2013