Interpreting Neural Network Judgments via Minimal, Stable, and Symbolic
Corrections

Interpreting Neural Network Judgments via Minimal, Stable, and Symbolic Corrections

21 February 2018

Armando Solar-Lezama

Papers citing "Interpreting Neural Network Judgments via Minimal, Stable, and Symbolic Corrections"

18 / 18 papers shown

Title
VeriX: Towards Verified Explainability of Deep Neural Networks Min Wu Haoze Wu Clark W. Barrett AAML 48 11 0 02 Dec 2022
Cardinality-Minimal Explanations for Monotonic Neural Networks Ouns El Harzli Bernardo Cuenca Grau Ian Horrocks FAtt 40 5 0 19 May 2022
On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations M. Virgolin Saverio Fracaros CML 26 36 0 22 Jan 2022
Synthesizing Pareto-Optimal Interpretations for Black-Box Models Hazem Torfah Shetal Shah Supratik Chakraborty S. Akshay S. Seshia 30 6 0 16 Aug 2021
Fair Normalizing Flows Mislav Balunović Anian Ruoss Martin Vechev AAML 19 36 0 10 Jun 2021
Neuro-Symbolic Artificial Intelligence: Current Trends Md Kamruzzaman Sarker Lu Zhou Aaron Eberhart Pascal Hitzler NAI 27 87 0 11 May 2021
Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice David S. Watson Limor Gultchin Ankur Taly Luciano Floridi 22 63 0 27 Mar 2021
Interpretable Machine Learning: Moving From Mythos to Diagnostics Valerie Chen Jeffrey Li Joon Sik Kim Gregory Plumb Ameet Talwalkar 32 29 0 10 Mar 2021
Robust and Stable Black Box Explanations Himabindu Lakkaraju Nino Arsov Osbert Bastani AAML FAtt 24 84 0 12 Nov 2020
Generative causal explanations of black-box classifiers Matthew R. O’Shaughnessy Gregory H. Canal Marissa Connor Mark A. Davenport Christopher Rozell CML 30 73 0 24 Jun 2020
Questioning the AI: Informing Design Practices for Explainable AI User Experiences Q. V. Liao D. Gruen Sarah Miller 52 702 0 08 Jan 2020
Automated Dependence Plots David I. Inouye Liu Leqi Joon Sik Kim Bryon Aragam Pradeep Ravikumar 12 1 0 02 Dec 2019
Model Agnostic Contrastive Explanations for Structured Data Amit Dhurandhar Tejaswini Pedapati Avinash Balakrishnan Pin-Yu Chen Karthikeyan Shanmugam Ruchi Puri FAtt 20 82 0 31 May 2019
Explainability Techniques for Graph Convolutional Networks Federico Baldassarre Hossein Azizpour GNN FAtt 24 264 0 31 May 2019
Leveraging Latent Features for Local Explanations Ronny Luss Pin-Yu Chen Amit Dhurandhar P. Sattigeri Yunfeng Zhang Karthikeyan Shanmugam Chun-Chen Tu FAtt 49 37 0 29 May 2019
Explaining Explanations to Society Leilani H. Gilpin Cecilia Testart Nathaniel Fruchter Julius Adebayo XAI 24 34 0 19 Jan 2019
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 272 2,552 0 25 Jan 2016