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HIVE: Evaluating the Human Interpretability of Visual Explanations

Jan 10, 2022
Sunnie S. Y. Kim, Nicole Meister, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky

* HIVE can be found at 

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Debiasing Convolutional Neural Networks via Meta Orthogonalization

Nov 15, 2020
Kurtis Evan David, Qiang Liu, Ruth Fong

* Accepted to NeuRIPS 2020 Workshop on Algorithmic Fairness through the Lens of Causality and Interpretability (AFCI). Supplemental materials provided at: 

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Contextual Semantic Interpretability

Sep 18, 2020
Diego Marcos, Ruth Fong, Sylvain Lobry, Remi Flamary, Nicolas Courty, Devis Tuia

* ACCV 2020 

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There and Back Again: Revisiting Backpropagation Saliency Methods

Apr 06, 2020
Sylvestre-Alvise Rebuffi, Ruth Fong, Xu Ji, Andrea Vedaldi

* CVPR 2020 

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Multi-modal Self-Supervision from Generalized Data Transformations

Mar 09, 2020
Mandela Patrick, Yuki M. Asano, Ruth Fong, João F. Henriques, Geoffrey Zweig, Andrea Vedaldi

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Occlusions for Effective Data Augmentation in Image Classification

Oct 25, 2019
Ruth Fong, Andrea Vedaldi

* Accepted to 2019 ICCV Workshop on Interpreting and Explaining Visual Artificial Intelligence Models (v2: corrected references) 

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NormGrad: Finding the Pixels that Matter for Training

Oct 19, 2019
Sylvestre-Alvise Rebuffi, Ruth Fong, Xu Ji, Hakan Bilen, Andrea Vedaldi

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Understanding Deep Networks via Extremal Perturbations and Smooth Masks

Oct 18, 2019
Ruth Fong, Mandela Patrick, Andrea Vedaldi

* Accepted at ICCV 2019 as oral; supp mat at 

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Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks

Mar 29, 2018
Ruth Fong, Andrea Vedaldi

* Camera-Ready for CVPR18; supplementary materials: 

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Interpretable Explanations of Black Boxes by Meaningful Perturbation

Jan 10, 2018
Ruth Fong, Andrea Vedaldi

* Proceedings of the 2017 IEEE International Conference on Computer Vision (ICCV) 
* Final camera-ready paper published at ICCV 2017 (Supplementary materials:

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Using Human Brain Activity to Guide Machine Learning

Sep 19, 2017
Ruth Fong, Walter Scheirer, David Cox

* Supplemental material can be downloaded here: 

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