CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations-Reference-Cited by-同舟云学术

CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations

Published:2023-08-04 Issue: Volume: Page:
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Container-title:Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Guo Hangzhi¹^ORCID,Nguyen Thanh H.²^ORCID,Yadav Amulya¹^ORCID

Affiliation:

1. The Pennsylvania State University, State College, PA, USA

2. University of Oregon, Eugene, OR, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599290

Reference58 articles.

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2. Impact of Response Latency on User Behaviour in Mobile Web Search

3. Raphael Baena , Lucas Drumetz , and Vincent Gripon . 2022. Preserving Fine-Grain Feature Information in Classification via Entropic Regularization. arXiv preprint arXiv:2208.03684 ( 2022 ). Raphael Baena, Lucas Drumetz, and Vincent Gripon. 2022. Preserving Fine-Grain Feature Information in Classification via Entropic Regularization. arXiv preprint arXiv:2208.03684 (2022).

4. Explainable machine learning in deployment

5. 'It's Reducing a Human Being to a Percentage'

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