counterfactual explanations

https://openreview.net/forum?id=dUU4tUJKmi&referrer=%5Bthe%20profile%20of%20Stephen%20Mell%5D(%2Fprofile%3Fid%3D~Stephen_Mell1) Counterfactual Explanations for Natural Language Interfaces | OpenReview A key challenge facing natural language interfaces is enabling users to understand the capabilities of the underlying system. We propose a novel approach for... counterfactual explanations natural language interfaces openreview https://openreview.net/forum?id=gqeXXrIMr0 Rethinking Visual Counterfactual Explanations Through Region Constraint | OpenReview Visual counterfactual explanations (VCEs) have recently gained immense popularity as a tool for clarifying the decision-making process of image classifiers.... counterfactual explanations rethinking visual region constraint https://openreview.net/forum?id=gzjK23oK9i Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees | OpenReview There is an emerging interest in generating robust counterfactual explanations that would remain valid if the model is updated or changed even slightly.... for neural networks counterfactual explanations robust probabilistic guarantees https://arxiv.org/abs/2204.13192 [2204.13192] Counterfactual Explanations for Natural Language Interfaces Abstract page for arXiv paper 2204.13192: Counterfactual Explanations for Natural Language Interfaces counterfactual explanations natural language 2204 interfaces https://openreview.net/forum?id=-GyS3kjKMg9 DeDUCE: Generating Counterfactual Explanations At Scale | OpenReview We introduce a novel, efficient algorithm providing counterfactual explanations for residual networks and compare its performance against baselines. counterfactual explanations deduce generating scale openreview https://deepai.org/publication/vice-visual-counterfactual-explanations-for-machine-learning-models ViCE: Visual Counterfactual Explanations for Machine Learning Models | DeepAI Mar 5, 2020 - 03/05/20 - The continued improvements in the predictive accuracy of machine learning models have allowed for their widespread practical appli... machine learning models counterfactual explanations vice visual deepai https://www.capitalone.com/tech/publications/interpretable-deep-classifier-for-counterfactual-generation/ Counterfactual explanations | Capital One Interpretable deep classifier for counterfactual generation. Framework using a supervised VAE with Normalizing Flow to generate counterfactual explanations in... counterfactual explanations capital one https://deepai.org/publication/counterfactual-explanations-for-models-of-code Counterfactual Explanations for Models of Code | DeepAI Nov 10, 2021 - 11/10/21 - Machine learning (ML) models play an increasingly prevalent role in many software engineering tasks. However, because most models ... counterfactual explanations for models code deepai https://arxiv.org/abs/2208.14878 [2208.14878] Formalising the Robustness of Counterfactual Explanations for Neural Networks Abstract page for arXiv paper 2208.14878: Formalising the Robustness of Counterfactual Explanations for Neural Networks counterfactual explanations 2208 robustness https://openreview.net/forum?id=OeRxyWGO4k Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theory |... Counterfactual explanations provide ways of achieving a favorable model outcome with minimum input perturbation. However, counterfactual explanations can also... counterfactual explanations model reconstruction using perspective https://openreview.net/forum?id=1O3aUDwFqL&referrer=%5Bthe%20profile%20of%20Shohei%20Shimizu%5D(%2Fprofile%3Fid%3D~Shohei_Shimizu1) Counterfactual Explanations of Black-box Machine Learning Models using Causal Discovery with... Explainable artificial intelligence (XAI) has helped elucidate the internal mechanisms of machine learning algorithms, bolstering their reliability by... machine learning models counterfactual explanations black box https://openreview.net/forum?id=JPMT9kjeJi Self-Interpretable Time Series Prediction with Counterfactual Explanations | OpenReview Interpretable time series prediction is crucial for safety-critical areas such as healthcare and autonomous driving. Most existing methods focus on... time series prediction counterfactual explanations self openreview https://openreview.net/forum?id=iaO_IH7CnGJ Counterfactual Explanations Can Be Manipulated | OpenReview Counterfactual explanations that hill climb the counterfactual objective are not robust and vulnerable to manipulation by adversaries. counterfactual explanations can be manipulated openreview

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