Variational Auto-Regressive Gaussian Processes for Continual Learning

Variational Auto-Regressive Gaussian Processes for Continual Learning

9 June 2020

Sanyam Kapoor

Theofanis Karaletsos

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

8 / 8 papers shown

Title
Memory-Based Dual Gaussian Processes for Sequential Learning Paul E. Chang Prakhar Verma S. T. John Arno Solin Mohammad Emtiyaz Khan GP 38 4 0 06 Jun 2023
Efficient Parametric Approximations of Neural Network Function Space Distance Nikita Dhawan Sicong Huang Juhan Bae Roger C. Grosse 16 5 0 07 Feb 2023
On Sequential Bayesian Inference for Continual Learning Samuel Kessler Adam D. Cobb Tim G. J. Rudner S. Zohren Stephen J. Roberts CLL BDL 64 6 0 04 Jan 2023
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 37 27 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 64 43 0 20 May 2022
Generative Kernel Continual learning Mohammad Mahdi Derakhshani Xiantong Zhen Ling Shao Cees G. M. Snoek BDL VLM 41 0 0 26 Dec 2021
Recent Advances of Continual Learning in Computer Vision: An Overview Haoxuan Qu Hossein Rahmani Li Xu Bryan M. Williams Jun Liu VLM CLL 30 73 0 23 Sep 2021
Continual Model-Based Reinforcement Learning with Hypernetworks Yizhou Huang Kevin Xie Homanga Bharadhwaj Florian Shkurti CLL 27 46 0 25 Sep 2020