Stop overkilling simple tasks with black-box models and use transparent models instead

6 February 2023

Papers citing "Stop overkilling simple tasks with black-box models and use transparent models instead"

18 / 18 papers shown

Title
A Theoretical Framework for AI Models Explainability with Application in Biomedicine Matteo Rizzo Alberto Veneri A. Albarelli Claudio Lucchese Marco Nobile Cristina Conati XAI 49 9 0 29 Dec 2022
Fruit Ripeness Classification: a Survey Matteo Rizzo Matteo Marcuzzo A. Zangari A. Gasparetto A. Albarelli 55 64 0 29 Dec 2022
What does LIME really see in images? Damien Garreau Dina Mardaoui FAtt 32 38 0 11 Feb 2021
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity W. Fedus Barret Zoph Noam M. Shazeer MoE 55 2,136 0 11 Jan 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir Fahad Shahbaz Khan M. Shah ViT 247 2,463 0 04 Jan 2021
This Looks Like That, Because ... Explaining Prototypes for Interpretable Image Recognition Meike Nauta Annemarie Jutte Jesper C. Provoost C. Seifert FAtt 39 65 0 05 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 342 40,217 0 22 Oct 2020
Is Attention Interpretable? Sofia Serrano Noah A. Smith 75 679 0 09 Jun 2019
Sanity Checks for Saliency Maps Julius Adebayo Justin Gilmer M. Muelly Ian Goodfellow Moritz Hardt Been Kim FAtt AAML XAI 107 1,947 0 08 Oct 2018
This Looks Like That: Deep Learning for Interpretable Image Recognition Chaofan Chen Oscar Li Chaofan Tao A. Barnett Jonathan Su Cynthia Rudin 175 1,172 0 27 Jun 2018
Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients A. Ross Finale Doshi-Velez AAML 139 679 0 26 Nov 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 435 129,831 0 12 Jun 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 524 21,613 0 22 May 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 209 19,796 0 07 Oct 2016
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 846 14,493 0 07 Oct 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 577 16,828 0 16 Feb 2016
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 383 27,205 0 01 Sep 2014
Rigid-Motion Scattering for Texture Classification Laurent Sifre S. Mallat 48 345 0 07 Mar 2014