Variational Auto-Regressive Gaussian Processes for Continual Learning

v1v2v3 (latest)

Variational Auto-Regressive Gaussian Processes for Continual Learning

9 June 2020

Sanyam Kapoor

Theofanis Karaletsos

ArXiv (abs)PDF HTML

Papers citing "Variational Auto-Regressive Gaussian Processes for Continual Learning"

19 / 19 papers shown

Title
Likelihood approximations via Gaussian approximate inference Thang D. Bui 66 0 0 28 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 75 2 0 09 Oct 2024
Function-space Parameterization of Neural Networks for Sequential Learning Aidan Scannell Riccardo Mereu Paul E. Chang Ella Tamir Joni Pajarinen Arno Solin BDL 92 5 0 16 Mar 2024
Continual Learning via Sequential Function-Space Variational Inference Tim G. J. Rudner Freddie Bickford-Smith Qixuan Feng Yee Whye Teh Y. Gal 74 42 0 28 Dec 2023
Bayesian Transfer Learning Piotr M. Suder Jason Xu David B. Dunson 99 6 0 20 Dec 2023
Continual Learning From a Stream of APIs Enneng Yang Zhenyi Wang Li Shen Nan Yin Tongliang Liu Guibing Guo Xingwei Wang Dacheng Tao CLL 81 3 0 31 Aug 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning Zhenyi Wang Enneng Yang Li Shen Heng-Chiao Huang KELM MU 98 52 0 16 Jul 2023
Memory-Based Dual Gaussian Processes for Sequential Learning Paul E. Chang Prakhar Verma S. T. John Arno Solin Mohammad Emtiyaz Khan GP 93 8 0 06 Jun 2023
Efficient Parametric Approximations of Neural Network Function Space Distance Nikita Dhawan Sicong Huang Juhan Bae Roger C. Grosse 71 5 0 07 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and Application Liyuan Wang Xingxing Zhang Hang Su Jun Zhu KELM CLL 236 712 0 31 Jan 2023
Hierarchical Memory Pool Based Edge Semi-Supervised Continual Learning Method Xiangwei Wang Rui Han Chi Harold Liu CLL 49 0 0 17 Jan 2023
On Sequential Bayesian Inference for Continual Learning Samuel Kessler Adam D. Cobb Tim G. J. Rudner S. Zohren Stephen J. Roberts CLL BDL 116 7 0 04 Jan 2023
Black-box Coreset Variational Inference Dionysis Manousakas H. Ritter Theofanis Karaletsos BDL 56 4 0 04 Nov 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 121 29 0 15 Jul 2022
Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors Ravid Shwartz-Ziv Micah Goldblum Hossein Souri Sanyam Kapoor Chen Zhu Yann LeCun A. Wilson UQCV BDL 125 43 0 20 May 2022
Generative Kernel Continual learning Mohammad Mahdi Derakhshani Xiantong Zhen Ling Shao Cees G. M. Snoek BDL VLM 45 0 0 26 Dec 2021
Conditioning Sparse Variational Gaussian Processes for Online Decision-making Wesley J. Maddox Samuel Stanton A. Wilson 79 32 0 28 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 136 77 0 23 Sep 2021
Continual Model-Based Reinforcement Learning with Hypernetworks Yizhou Huang Kevin Xie Homanga Bharadhwaj Florian Shkurti CLL 84 50 0 25 Sep 2020

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.