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DeltaGrad: Rapid retraining of machine learning models

DeltaGrad: Rapid retraining of machine learning models

26 June 2020
Yinjun Wu
Edgar Dobriban
S. Davidson
    MU
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Papers citing "DeltaGrad: Rapid retraining of machine learning models"

12 / 112 papers shown
Title
SSSE: Efficiently Erasing Samples from Trained Machine Learning Models
SSSE: Efficiently Erasing Samples from Trained Machine Learning Models
Alexandra Peste
Dan Alistarh
Christoph H. Lampert
MU
8
28
0
08 Jul 2021
Certifiable Machine Unlearning for Linear Models
Certifiable Machine Unlearning for Linear Models
Ananth Mahadevan
M. Mathioudakis
MU
14
45
0
29 Jun 2021
DeepObliviate: A Powerful Charm for Erasing Data Residual Memory in Deep
  Neural Networks
DeepObliviate: A Powerful Charm for Erasing Data Residual Memory in Deep Neural Networks
Yingzhe He
Guozhu Meng
Kai Chen
Jinwen He
Xingbo Hu
MU
11
27
0
13 May 2021
Finding High-Value Training Data Subset through Differentiable Convex
  Programming
Finding High-Value Training Data Subset through Differentiable Convex Programming
Soumik Das
Arshdeep Singh
Saptarshi Chatterjee
S. Bhattacharya
Sourangshu Bhattacharya
TDI
27
7
0
28 Apr 2021
Graph Unlearning
Graph Unlearning
Min Chen
Zhikun Zhang
Tianhao Wang
Michael Backes
Mathias Humbert
Yang Zhang
MU
19
137
0
27 Mar 2021
Estimating informativeness of samples with Smooth Unique Information
Estimating informativeness of samples with Smooth Unique Information
Hrayr Harutyunyan
Alessandro Achille
Giovanni Paolini
Orchid Majumder
Avinash Ravichandran
Rahul Bhotika
Stefano Soatto
21
24
0
17 Jan 2021
Mixed-Privacy Forgetting in Deep Networks
Mixed-Privacy Forgetting in Deep Networks
Aditya Golatkar
Alessandro Achille
Avinash Ravichandran
M. Polito
Stefano Soatto
CLL
MU
127
159
0
24 Dec 2020
Machine Unlearning for Random Forests
Machine Unlearning for Random Forests
Jonathan Brophy
Daniel Lowd
MU
19
157
0
11 Sep 2020
Learn to Forget: Machine Unlearning via Neuron Masking
Learn to Forget: Machine Unlearning via Neuron Masking
Yang Liu
Zhuo Ma
Ximeng Liu
Jian-wei Liu
Zhongyuan Jiang
Jianfeng Ma
Philip Yu
K. Ren
MU
15
61
0
24 Mar 2020
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
251
3,683
0
28 Feb 2017
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
139
1,199
0
16 Aug 2016
Cross-conformal predictors
Cross-conformal predictors
V. Vovk
131
196
0
03 Aug 2012
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