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Attributing Learned Concepts in Neural Networks to Training Data

Attributing Learned Concepts in Neural Networks to Training Data

4 October 2023
Nicholas Konz
Charles Godfrey
Madelyn Shapiro
Jonathan Tu
Henry Kvinge
Davis Brown
    TDI
    FAtt
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Papers citing "Attributing Learned Concepts in Neural Networks to Training Data"

3 / 3 papers shown
Title
FFCV: Accelerating Training by Removing Data Bottlenecks
FFCV: Accelerating Training by Removing Data Bottlenecks
Guillaume Leclerc
Andrew Ilyas
Logan Engstrom
Sung Min Park
Hadi Salman
Aleksander Madry
41
69
0
21 Jun 2023
Acquisition of Chess Knowledge in AlphaZero
Acquisition of Chess Knowledge in AlphaZero
Thomas McGrath
A. Kapishnikov
Nenad Tomašev
Adam Pearce
Demis Hassabis
Been Kim
Ulrich Paquet
Vladimir Kramnik
55
164
0
17 Nov 2021
Interpretability Beyond Feature Attribution: Quantitative Testing with
  Concept Activation Vectors (TCAV)
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)
Been Kim
Martin Wattenberg
Justin Gilmer
Carrie J. Cai
James Wexler
F. Viégas
Rory Sayres
FAtt
211
1,838
0
30 Nov 2017
1