Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2107.07436
Cited By
FastSHAP: Real-Time Shapley Value Estimation
15 July 2021
N. Jethani
Mukund Sudarshan
Ian Covert
Su-In Lee
Rajesh Ranganath
TDI
FAtt
Re-assign community
ArXiv
PDF
HTML
Papers citing
"FastSHAP: Real-Time Shapley Value Estimation"
14 / 14 papers shown
Title
Axiomatic Explainer Globalness via Optimal Transport
Davin Hill
Josh Bone
A. Masoomi
Max Torop
Jennifer Dy
85
1
0
13 Mar 2025
A Comprehensive Study of Shapley Value in Data Analytics
Hong Lin
Shixin Wan
Zhongle Xie
Ke Chen
Meihui Zhang
Lidan Shou
Gang Chen
82
0
0
02 Dec 2024
Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse
Seung Hyun Cheon
Anneke Wernerfelt
Sorelle A. Friedler
Berk Ustun
FaML
FAtt
19
0
0
29 Oct 2024
Locality Alignment Improves Vision-Language Models
Ian Covert
Tony Sun
James Y. Zou
Tatsunori Hashimoto
VLM
56
3
0
14 Oct 2024
SHAP values via sparse Fourier representation
Ali Gorji
Andisheh Amrollahi
A. Krause
FAtt
30
0
0
08 Oct 2024
Improving the Weighting Strategy in KernelSHAP
Lars Henry Berge Olsen
Martin Jullum
TDI
FAtt
52
2
0
07 Oct 2024
Provably Accurate Shapley Value Estimation via Leverage Score Sampling
Christopher Musco
R. Teal Witter
FAtt
FedML
TDI
44
2
0
02 Oct 2024
Efficient and Accurate Explanation Estimation with Distribution Compression
Hubert Baniecki
Giuseppe Casalicchio
Bernd Bischl
Przemyslaw Biecek
FAtt
34
3
0
26 Jun 2024
Selective Explanations
Lucas Monteiro Paes
Dennis L. Wei
Flavio du Pin Calmon
FAtt
17
0
0
29 May 2024
Using Cooperative Game Theory to Prune Neural Networks
M. Diaz-Ortiz
Benjamin Kempinski
Daphne Cornelisse
Yoram Bachrach
Tal Kachman
18
2
0
17 Nov 2023
Towards Faithful Neural Network Intrinsic Interpretation with Shapley Additive Self-Attribution
Ying Sun
Hengshu Zhu
Huixia Xiong
TDI
FAtt
MILM
12
1
0
27 Sep 2023
A dynamic risk score for early prediction of cardiogenic shock using machine learning
Yuxuan Hu
Albert Y Lui
M. Goldstein
Mukund Sudarshan
Andrea Tinsay
...
G. Fishman
J. Hochman
S. Katz
S. Bernard
Rajesh Ranganath
14
2
0
22 Mar 2023
Don't be fooled: label leakage in explanation methods and the importance of their quantitative evaluation
N. Jethani
A. Saporta
Rajesh Ranganath
FAtt
21
10
0
24 Feb 2023
Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations
N. Jethani
Mukund Sudarshan
Yindalon Aphinyanagphongs
Rajesh Ranganath
FAtt
60
54
0
02 Mar 2021
1