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RelatIF: Identifying Explanatory Training Examples via Relative
Influence

RelatIF: Identifying Explanatory Training Examples via Relative Influence

25 March 2020

Marc-Etienne Brunet

Gintare Karolina Dziugaite

Papers citing "RelatIF: Identifying Explanatory Training Examples via Relative Influence"

14 / 14 papers shown

Title
Generalizing Medical Image Representations via Quaternion Wavelet Networks Luigi Sigillo Eleonora Grassucci A. Uncini Danilo Comminiello MedIm 53 5 0 16 Oct 2023
On the Accuracy of Influence Functions for Measuring Group Effects Pang Wei Koh Kai-Siang Ang H. Teo Percy Liang TDI 40 186 0 30 May 2019
Data Shapley: Equitable Valuation of Data for Machine Learning Amirata Ghorbani James Zou TDI FedML 53 771 0 05 Apr 2019
Stronger Data Poisoning Attacks Break Data Sanitization Defenses Pang Wei Koh Jacob Steinhardt Percy Liang 25 240 0 02 Nov 2018
Interpreting Black Box Predictions using Fisher Kernels Rajiv Khanna Been Kim Joydeep Ghosh Oluwasanmi Koyejo FAtt 34 104 0 23 Oct 2018
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 121 1,817 0 30 Nov 2017
Optimal Sub-sampling with Influence Functions Daniel Ting E. Brochu TDI 30 31 0 06 Sep 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 220 21,459 0 22 May 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 98 2,854 0 14 Mar 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 328 3,742 0 28 Feb 2017
European Union regulations on algorithmic decision-making and a "right to explanation" B. Goodman Seth Flaxman FaML AILaw 50 1,888 0 28 Jun 2016
The Mythos of Model Interpretability Zachary Chase Lipton FaML 68 3,672 0 10 Jun 2016
Optimizing Neural Networks with Kronecker-factored Approximate Curvature James Martens Roger C. Grosse ODL 54 999 0 19 Mar 2015
New insights and perspectives on the natural gradient method James Martens ODL 41 609 0 03 Dec 2014

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