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Approximate Bayesian Class-Conditional Models under Continuous
  Representation Shift

Approximate Bayesian Class-Conditional Models under Continuous Representation Shift

30 May 2023
Thomas L. Lee
Amos Storkey
    BDL
ArXivPDFHTML

Papers citing "Approximate Bayesian Class-Conditional Models under Continuous Representation Shift"

7 / 7 papers shown
Title
Lightweight Online Adaption for Time Series Foundation Model Forecasts
Lightweight Online Adaption for Time Series Foundation Model Forecasts
Thomas L. Lee
William Toner
Rajkarn Singh
Artjom Joosem
Martin Asenov
AI4TS
42
1
0
18 Feb 2025
Hyperparameter Selection in Continual Learning
Hyperparameter Selection in Continual Learning
Thomas L. Lee
Sigrid Passano Hellan
Linus Ericsson
Elliot J. Crowley
Amos Storkey
CLL
68
0
0
09 Apr 2024
Chunking: Continual Learning is not just about Distribution Shift
Chunking: Continual Learning is not just about Distribution Shift
Thomas L. Lee
Amos Storkey
25
1
0
03 Oct 2023
Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt
  Representation Drift in Continual Learning
Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt Representation Drift in Continual Learning
F. Sarfraz
Elahe Arani
Bahram Zonooz
KELM
CLL
38
26
0
14 Feb 2023
On Sequential Bayesian Inference for Continual Learning
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
Bayesian Model Selection, the Marginal Likelihood, and Generalization
Bayesian Model Selection, the Marginal Likelihood, and Generalization
Sanae Lotfi
Pavel Izmailov
Gregory W. Benton
Micah Goldblum
A. Wilson
UQCV
BDL
52
56
0
23 Feb 2022
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
CLL
BDL
51
55
0
01 Mar 2021
1