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Task Agnostic Continual Learning Using Online Variational Bayes with
  Fixed-Point Updates
v1v2 (latest)

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

1 October 2020
Chen Zeno
Itay Golan
Elad Hoffer
Daniel Soudry
    OODFedML
ArXiv (abs)PDFHTML

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

37 / 37 papers shown
Title
Measurement-aligned Flow for Inverse Problem
Measurement-aligned Flow for Inverse Problem
Shaorong Zhang
Rob Brekelmans
Yunshu Wu
Greg Ver Steeg
DiffM
20
0
0
13 Jun 2025
Autoencoder-Based Hybrid Replay for Class-Incremental Learning
Autoencoder-Based Hybrid Replay for Class-Incremental Learning
Milad Khademi Nori
Il-Min Kim
Guanghui Wang
CLL
150
0
0
09 May 2025
Task Confusion and Catastrophic Forgetting in Class-Incremental
  Learning: A Mathematical Framework for Discriminative and Generative
  Modelings
Task Confusion and Catastrophic Forgetting in Class-Incremental Learning: A Mathematical Framework for Discriminative and Generative Modelings
Milad Khademi Nori
Il-Min Kim
CLL
75
3
0
28 Oct 2024
Variational Bayes for Federated Continual Learning
Variational Bayes for Federated Continual Learning
Dezhong Yao
Sanmu Li
Yutong Dai
Zhiqiang Xu
Shengshan Hu
Peilin Zhao
Lichao Sun
FedML
87
1
0
23 May 2024
Continual Learning on Graphs: A Survey
Continual Learning on Graphs: A Survey
Zonggui Tian
Duanhao Zhang
Hong-Ning Dai
105
5
0
09 Feb 2024
Plasticity-Optimized Complementary Networks for Unsupervised Continual
  Learning
Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning
Alex Gomez-Villa
Bartlomiej Twardowski
Kai Wang
Joost van de Weijer
SSLCLL
74
9
0
12 Sep 2023
Continual Learning with Pretrained Backbones by Tuning in the Input
  Space
Continual Learning with Pretrained Backbones by Tuning in the Input Space
Simone Marullo
Matteo Tiezzi
Marco Gori
S. Melacci
Tinne Tuytelaars
CLL
56
2
0
05 Jun 2023
Low-rank extended Kalman filtering for online learning of neural
  networks from streaming data
Low-rank extended Kalman filtering for online learning of neural networks from streaming data
Peter Chang
Gerardo Duran-Martín
Alexander Y. Shestopaloff
Matt Jones
Kevin P. Murphy
BDL
116
20
0
31 May 2023
Artificial intelligence to advance Earth observation: a perspective
Artificial intelligence to advance Earth observation: a perspective
D. Tuia
Konrad Schindler
Begüm Demir
Gustau Camps-Valls
Xiao Xiang Zhu
...
Mihai Datcu
Jorge-Arnulfo Quiané-Ruiz
Volker Markl
Bertrand Le Saux
Rochelle Schneider
122
12
0
15 May 2023
The Ideal Continual Learner: An Agent That Never Forgets
The Ideal Continual Learner: An Agent That Never Forgets
Liangzu Peng
Paris V. Giampouras
René Vidal
CLL
183
30
0
29 Apr 2023
Computationally Budgeted Continual Learning: What Does Matter?
Computationally Budgeted Continual Learning: What Does Matter?
Ameya Prabhu
Hasan Hammoud
P. Dokania
Philip Torr
Ser-Nam Lim
Guohao Li
Adel Bibi
CLL
81
64
0
20 Mar 2023
Statistical mechanics of continual learning: variational principle and
  mean-field potential
Statistical mechanics of continual learning: variational principle and mean-field potential
Chan Li
Zhenye Huang
Wenxuan Zou
Haiping Huang
102
5
0
06 Dec 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on
  Continual Learning and Functional Composition
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
KELMCLL
123
29
0
15 Jul 2022
Reactive Exploration to Cope with Non-Stationarity in Lifelong
  Reinforcement Learning
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
97
12
0
12 Jul 2022
Online Continual Learning of End-to-End Speech Recognition Models
Online Continual Learning of End-to-End Speech Recognition Models
Muqiao Yang
Ian Lane
Shinji Watanabe
CLL
62
25
0
11 Jul 2022
Lifelong Wandering: A realistic few-shot online continual learning
  setting
Lifelong Wandering: A realistic few-shot online continual learning setting
Mayank Lunayach
James Smith
Z. Kira
CLL
62
3
0
16 Jun 2022
Thalamus: a brain-inspired algorithm for biologically-plausible
  continual learning and disentangled representations
Thalamus: a brain-inspired algorithm for biologically-plausible continual learning and disentangled representations
Ali Hummos
CLL
80
11
0
24 May 2022
How catastrophic can catastrophic forgetting be in linear regression?
How catastrophic can catastrophic forgetting be in linear regression?
Itay Evron
E. Moroshko
Rachel A. Ward
Nati Srebro
Daniel Soudry
CLL
81
54
0
19 May 2022
Bypassing Logits Bias in Online Class-Incremental Learning with a
  Generative Framework
Bypassing Logits Bias in Online Class-Incremental Learning with a Generative Framework
Gehui Shen
Shibo Jie
Ziheng Li
Zhi-Hong Deng
CLL
25
0
0
19 May 2022
DualPrompt: Complementary Prompting for Rehearsal-free Continual
  Learning
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
CLLVLMVPVLM
134
506
0
10 Apr 2022
Continual Learning with Invertible Generative Models
Continual Learning with Invertible Generative Models
Jary Pomponi
Simone Scardapane
A. Uncini
BDL
96
4
0
11 Feb 2022
Learning where to learn: Gradient sparsity in meta and continual
  learning
Learning where to learn: Gradient sparsity in meta and continual learning
J. Oswald
Dominic Zhao
Seijin Kobayashi
Simon Schug
Massimo Caccia
Nicolas Zucchet
João Sacramento
CLL
75
48
0
27 Oct 2021
Prototype-Guided Memory Replay for Continual Learning
Prototype-Guided Memory Replay for Continual Learning
Stella Ho
Ming Liu
Lan Du
Longxiang Gao
Yong Xiang
CLL
67
32
0
28 Aug 2021
Continual Learning with Neuron Activation Importance
Continual Learning with Neuron Activation Importance
Sohee Kim
Seungkyu Lee
CLL
50
2
0
27 Jul 2021
Continual Novelty Detection
Continual Novelty Detection
Rahaf Aljundi
Daniel Olmeda Reino
N. Chumerin
Richard Turner
43
12
0
24 Jun 2021
Layerwise Optimization by Gradient Decomposition for Continual Learning
Layerwise Optimization by Gradient Decomposition for Continual Learning
Shixiang Tang
Dapeng Chen
Jinguo Zhu
Shijie Yu
Wanli Ouyang
CLL
77
65
0
17 May 2021
Posterior Meta-Replay for Continual Learning
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
CLLBDL
115
60
0
01 Mar 2021
Online Continual Learning in Image Classification: An Empirical Survey
Online Continual Learning in Image Classification: An Empirical Survey
Zheda Mai
Ruiwen Li
Jihwan Jeong
David Quispe
Hyunwoo J. Kim
Scott Sanner
VLMCLL
140
422
0
25 Jan 2021
Preconditioned training of normalizing flows for variational inference
  in inverse problems
Preconditioned training of normalizing flows for variational inference in inverse problems
Ali Siahkoohi
G. Rizzuti
M. Louboutin
Philipp A. Witte
Felix J. Herrmann
109
32
0
11 Jan 2021
Better Knowledge Retention through Metric Learning
Better Knowledge Retention through Metric Learning
Ke Li
Shichong Peng
Kailas Vodrahalli
Jitendra Malik
CLL
34
0
0
26 Nov 2020
Overcoming Catastrophic Forgetting via Direction-Constrained
  Optimization
Overcoming Catastrophic Forgetting via Direction-Constrained Optimization
Yunfei Teng
A. Choromańska
Murray Campbell
Songtao Lu
Parikshit Ram
L. Horesh
CLL
77
2
0
25 Nov 2020
Energy-Based Models for Continual Learning
Energy-Based Models for Continual Learning
Shuang Li
Yilun Du
Gido M. van de Ven
Igor Mordatch
91
42
0
24 Nov 2020
Sequential Changepoint Detection in Neural Networks with Checkpoints
Sequential Changepoint Detection in Neural Networks with Checkpoints
Michalis K. Titsias
Jakub Sygnowski
Yutian Chen
BDL
45
11
0
06 Oct 2020
Continual Prototype Evolution: Learning Online from Non-Stationary Data
  Streams
Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams
Matthias De Lange
Tinne Tuytelaars
CLL
91
208
0
02 Sep 2020
Frosting Weights for Better Continual Training
Frosting Weights for Better Continual Training
Xiaofeng Zhu
Feng Liu
Goce Trajcevski
Dingding Wang
FedMLAI4CECLL
53
5
0
07 Jan 2020
Hierarchical Indian Buffet Neural Networks for Bayesian Continual
  Learning
Hierarchical Indian Buffet Neural Networks for Bayesian Continual Learning
Samuel Kessler
Vu Nguyen
S. Zohren
Stephen J. Roberts
BDL
94
25
0
04 Dec 2019
Continual Learning with Adaptive Weights (CLAW)
Continual Learning with Adaptive Weights (CLAW)
T. Adel
Han Zhao
Richard Turner
CLL
76
73
0
21 Nov 2019
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