A Unifying Bayesian View of Continual Learning

18 February 2019

Papers citing "A Unifying Bayesian View of Continual Learning"

20 / 20 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 With Quasi-Newton Methods Steven Vander Eeckt Hugo Van hamme CLL BDL 69 0 0 25 Mar 2025
Continual learning with the neural tangent ensemble Ari S. Benjamin Christian Pehle Kyle Daruwalla UQCV 75 0 0 30 Aug 2024
Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How Timm Hess Tinne Tuytelaars Gido M. van de Ven 49 7 0 08 Nov 2023
Streaming LifeLong Learning With Any-Time Inference S. Banerjee Vinay Kumar Verma Vinay P. Namboodiri CLL 37 3 0 27 Jan 2023
Do Bayesian Neural Networks Need To Be Fully Stochastic? Mrinank Sharma Sebastian Farquhar Eric T. Nalisnick Tom Rainforth BDL 28 52 0 11 Nov 2022
Bayesian Continual Learning via Spiking Neural Networks N. Skatchkovsky Hyeryung Jang Osvaldo Simeone BDL 38 17 0 29 Aug 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
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 66 1,112 0 07 Jul 2021
Class-Incremental Learning with Generative Classifiers Gido M. van de Ven Zhe Li A. Tolias BDL 50 58 0 20 Apr 2021
Avalanche: an End-to-End Library for Continual Learning Vincenzo Lomonaco Lorenzo Pellegrini Andrea Cossu Antonio Carta G. Graffieti ... Christopher Kanan Joost van de Weijer Tinne Tuytelaars D. Bacciu Davide Maltoni BDL AI4TS 47 181 0 01 Apr 2021
Continual Learning for Recurrent Neural Networks: an Empirical Evaluation Andrea Cossu Antonio Carta Vincenzo Lomonaco D. Bacciu CLL 41 107 0 12 Mar 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
CLeaR: An Adaptive Continual Learning Framework for Regression Tasks Yujiang He Bernhard Sick CLL 54 38 0 04 Jan 2021
Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning Aodong Li Alex Boyd Padhraic Smyth Stephan Mandt 15 22 0 15 Dec 2020
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning Martin Mundt Yongjun Hong Iuliia Pliushch Visvanathan Ramesh CLL 30 146 0 03 Sep 2020
Optimal Continual Learning has Perfect Memory and is NP-hard Jeremias Knoblauch Hisham Husain Tom Diethe CLL 38 104 0 09 Jun 2020
Maintaining Discrimination and Fairness in Class Incremental Learning Bowen Zhao Xi Xiao Guojun Gan Bin Zhang Shutao Xia CLL 26 417 0 16 Nov 2019
Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning Sebastian Farquhar Michael A. Osborne Y. Gal UQCV BDL 21 57 0 01 Jul 2019
Towards Robust Evaluations of Continual Learning Sebastian Farquhar Y. Gal CLL 28 305 0 24 May 2018