Task Agnostic Continual Learning Using Online Variational Bayes with
Fixed-Point Updates

Task Agnostic Continual Learning Using Online Variational Bayes with Fixed-Point Updates

1 October 2020

Papers citing "Task Agnostic Continual Learning Using Online Variational Bayes with Fixed-Point Updates"

16 / 16 papers shown

Title
Autoencoder-Based Hybrid Replay for Class-Incremental Learning Milad Khademi Nori Il-Min Kim Guanghui Wang CLL 55 0 0 09 May 2025
Continual Learning on Graphs: A Survey Zonggui Tian Duanhao Zhang Hong-Ning Dai 57 5 0 09 Feb 2024
Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning Alex Gomez-Villa Bartlomiej Twardowski Kai Wang Joost van de Weijer SSL CLL 38 9 0 12 Sep 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 39 27 0 15 Jul 2022
Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning C. Steinparz Thomas Schmied Fabian Paischer Marius-Constantin Dinu Vihang Patil Angela Bitto-Nemling Hamid Eghbalzadeh Sepp Hochreiter CLL 33 11 0 12 Jul 2022
How catastrophic can catastrophic forgetting be in linear regression? Itay Evron E. Moroshko Rachel A. Ward Nati Srebro Daniel Soudry CLL 35 48 0 19 May 2022
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning Zifeng Wang Zizhao Zhang Sayna Ebrahimi Ruoxi Sun Han Zhang ... Xiaoqi Ren Guolong Su Vincent Perot Jennifer Dy Tomas Pfister CLL VLM VPVLM 41 465 0 10 Apr 2022
Continual Learning with Invertible Generative Models Jary Pomponi Simone Scardapane A. Uncini BDL 56 4 0 11 Feb 2022
Prototype-Guided Memory Replay for Continual Learning Stella Ho Ming Liu Lan Du Longxiang Gao Yong Xiang CLL 18 30 0 28 Aug 2021
Task-agnostic Continual Learning with Hybrid Probabilistic Models Polina Kirichenko Mehrdad Farajtabar Dushyant Rao Balaji Lakshminarayanan Nir Levine Ang Li Huiyi Hu A. Wilson Razvan Pascanu VLM BDL CLL 27 19 0 24 Jun 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
Preconditioned training of normalizing flows for variational inference in inverse problems Ali Siahkoohi G. Rizzuti M. Louboutin Philipp A. Witte Felix J. Herrmann 80 32 0 11 Jan 2021
Energy-Based Models for Continual Learning Shuang Li Yilun Du Gido M. van de Ven Igor Mordatch 32 42 0 24 Nov 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 Scalable Bayesian Deep Learning by Weight-Perturbation in Adam Mohammad Emtiyaz Khan Didrik Nielsen Voot Tangkaratt Wu Lin Y. Gal Akash Srivastava ODL 74 268 0 13 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 547 11,727 0 09 Mar 2017