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Challenges and Pitfalls of Bayesian Unlearning
v1v2 (latest)

Challenges and Pitfalls of Bayesian Unlearning

7 July 2022
Ambrish Rawat
James Requeima
W. Bruinsma
Richard Turner
    BDLMU
ArXiv (abs)PDFHTML

Papers citing "Challenges and Pitfalls of Bayesian Unlearning"

11 / 11 papers shown
Title
Machine unlearning through fine-grained model parameters perturbation
Machine unlearning through fine-grained model parameters perturbation
Zhiwei Zuo
Zhuo Tang
KenLi Li
Anwitaman Datta
AAMLMU
111
0
0
09 Jan 2024
Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for
  Approximate Bayesian Inference
Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference
Luca Rendsburg
Agustinus Kristiadi
Philipp Hennig
U. V. Luxburg
51
2
0
07 Mar 2022
Wide Mean-Field Bayesian Neural Networks Ignore the Data
Wide Mean-Field Bayesian Neural Networks Ignore the Data
Beau Coker
W. Bruinsma
David R. Burt
Weiwei Pan
Finale Doshi-Velez
UQCVBDL
79
24
0
23 Feb 2022
Backdoor Defense with Machine Unlearning
Backdoor Defense with Machine Unlearning
Yang Liu
Mingyuan Fan
Cen Chen
Ximeng Liu
Zhuo Ma
Li Wang
Jianfeng Ma
AAML
83
78
0
24 Jan 2022
Unrolling SGD: Understanding Factors Influencing Machine Unlearning
Unrolling SGD: Understanding Factors Influencing Machine Unlearning
Anvith Thudi
Gabriel Deza
Varun Chandrasekaran
Nicolas Papernot
MU
124
182
0
27 Sep 2021
Laplace Redux -- Effortless Bayesian Deep Learning
Laplace Redux -- Effortless Bayesian Deep Learning
Erik A. Daxberger
Agustinus Kristiadi
Alexander Immer
Runa Eschenhagen
Matthias Bauer
Philipp Hennig
BDLUQCV
226
315
0
28 Jun 2021
Adaptive Machine Unlearning
Adaptive Machine Unlearning
Varun Gupta
Christopher Jung
Seth Neel
Aaron Roth
Saeed Sharifi-Malvajerdi
Chris Waites
MU
66
184
0
08 Jun 2021
Scalable Marginal Likelihood Estimation for Model Selection in Deep
  Learning
Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning
Alexander Immer
Matthias Bauer
Vincent Fortuin
Gunnar Rätsch
Mohammad Emtiyaz Khan
BDLUQCV
142
109
0
11 Apr 2021
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep
  Networks
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks
Aditya Golatkar
Alessandro Achille
Stefano Soatto
CLLMU
104
505
0
12 Nov 2019
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
376
7,587
0
02 Dec 2016
Weight Uncertainty in Neural Networks
Weight Uncertainty in Neural Networks
Charles Blundell
Julien Cornebise
Koray Kavukcuoglu
Daan Wierstra
UQCVBDL
194
1,894
0
20 May 2015
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