Improving and Understanding Variational Continual Learning

Improving and Understanding Variational Continual Learning

6 May 2019

Papers citing "Improving and Understanding Variational Continual Learning"

13 / 13 papers shown

Title
Continual Invariant Risk Minimization Francesco Alesiani Shujian Yu Mathias Niepert OOD 31 1 0 21 Oct 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
Continual Learning with Optimal Transport based Mixture Model Quyen Tran Hoang Phan Khoat Than Dinh Q. Phung Trung Le CLL 21 1 0 30 Nov 2022
Partitioned Variational Inference: A Framework for Probabilistic Federated Learning Matthew Ashman T. Bui Cuong V Nguyen Efstratios Markou Adrian Weller S. Swaroop Richard Turner FedML 19 12 0 24 Feb 2022
TyXe: Pyro-based Bayesian neural nets for Pytorch H. Ritter Theofanis Karaletsos OOD MU BDL 34 6 0 01 Oct 2021
Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process Fei Ye A. Bors CLL 28 18 0 25 Aug 2021
Posterior Meta-Replay for Continual Learning Christian Henning Maria R. Cervera Francesco DÁngelo J. Oswald Regina Traber Benjamin Ehret Seijin Kobayashi Benjamin Grewe João Sacramento CLL BDL 51 55 0 01 Mar 2021
Generalized Variational Continual Learning Noel Loo S. Swaroop Richard Turner BDL CLL 33 58 0 24 Nov 2020
LEEP: A New Measure to Evaluate Transferability of Learned Representations Cuong V Nguyen Tal Hassner Matthias Seeger Cédric Archambeau 28 213 0 27 Feb 2020
Frosting Weights for Better Continual Training Xiaofeng Zhu Feng Liu Goce Trajcevski Dingding Wang FedML AI4CE CLL 28 5 0 07 Jan 2020
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes James Requeima Jonathan Gordon J. Bronskill Sebastian Nowozin Richard Turner 24 241 0 18 Jun 2019
Practical Deep Learning with Bayesian Principles Kazuki Osawa S. Swaroop Anirudh Jain Runa Eschenhagen Richard Turner Rio Yokota Mohammad Emtiyaz Khan BDL UQCV 56 240 0 06 Jun 2019
Continual Learning via Neural Pruning Siavash Golkar Michael Kagan Kyunghyun Cho CLL 21 159 0 11 Mar 2019