Contrastive Explanation: A Structural-Model Approach

7 November 2018

Papers citing "Contrastive Explanation: A Structural-Model Approach"

36 / 36 papers shown

Title
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations Indu Panigrahi Sunnie S. Y. Kim Amna Liaqat Rohan Jinturkar Olga Russakovsky Ruth C. Fong Parastoo Abtahi FAtt HAI 62 1 0 14 Apr 2025
Comparative Explanations: Explanation Guided Decision Making for Human-in-the-Loop Preference Selection Tanmay Chakraborty Christian Wirth Christin Seifert 33 0 0 01 Apr 2025
Explaining Decisions of Agents in Mixed-Motive Games Maayan Orner Oleg Maksimov Akiva Kleinerman Charles Ortiz Sarit Kraus 104 1 0 28 Jan 2025
Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making Skills Zana Buçinca S. Swaroop Amanda E. Paluch Finale Doshi-Velez Krzysztof Z. Gajos 56 2 0 05 Oct 2024
COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical images Dmytro Shvetsov Joonas Ariva M. Domnich Raul Vicente Dmytro Fishman MedIm 32 0 0 19 Apr 2024
Natural Example-Based Explainability: a Survey Antonin Poché Lucas Hervier M. Bakkay XAI 33 12 0 05 Sep 2023
A Framework for Data-Driven Explainability in Mathematical Optimization Kevin-Martin Aigner Marc Goerigk Michael Hartisch F. Liers Arthur Miehlich 32 2 0 16 Aug 2023
Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations Yanda Chen Ruiqi Zhong Narutatsu Ri Chen Zhao He He Jacob Steinhardt Zhou Yu Kathleen McKeown LRM 34 47 0 17 Jul 2023
BELLA: Black box model Explanations by Local Linear Approximations N. Radulovic Albert Bifet Fabian M. Suchanek FAtt 42 1 0 18 May 2023
Explanation Strategies for Image Classification in Humans vs. Current Explainable AI Ruoxi Qi Yueyuan Zheng Yi Yang Caleb Chen Cao J. H. Hsiao 38 5 0 10 Apr 2023
Explaining Model Confidence Using Counterfactuals Thao Le Tim Miller Ronal Singh L. Sonenberg 21 4 0 10 Mar 2023
CEnt: An Entropy-based Model-agnostic Explainability Framework to Contrast Classifiers' Decisions Julia El Zini Mohamad Mansour M. Awad 35 1 0 19 Jan 2023
Towards Reconciling Usability and Usefulness of Explainable AI Methodologies Pradyumna Tambwekar Matthew C. Gombolay 38 8 0 13 Jan 2023
A general-purpose method for applying Explainable AI for Anomaly Detection John Sipple Abdou Youssef 32 15 0 23 Jul 2022
Alterfactual Explanations -- The Relevance of Irrelevance for Explaining AI Systems Silvan Mertes Christina Karle Tobias Huber Katharina Weitz Ruben Schlagowski Elisabeth André 23 12 0 19 Jul 2022
Counterfactual Plans under Distributional Ambiguity N. Bui D. Nguyen Viet Anh Nguyen 64 24 0 29 Jan 2022
Diagnosing AI Explanation Methods with Folk Concepts of Behavior Alon Jacovi Jasmijn Bastings Sebastian Gehrmann Yoav Goldberg Katja Filippova 41 15 0 27 Jan 2022
Towards Relatable Explainable AI with the Perceptual Process Wencan Zhang Brian Y. Lim AAML XAI 29 62 0 28 Dec 2021
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey Richard Dazeley Peter Vamplew Francisco Cruz 32 60 0 20 Aug 2021
Contrastive Explanations for Argumentation-Based Conclusions A. Borg Floris Bex 13 7 0 07 Jul 2021
Prompting Contrastive Explanations for Commonsense Reasoning Tasks Bhargavi Paranjape Julian Michael Marjan Ghazvininejad Luke Zettlemoyer Hannaneh Hajishirzi ReLM LRM 29 66 0 12 Jun 2021
A unified logical framework for explanations in classifier systems Xinghan Liu E. Lorini 25 12 0 30 May 2021
Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction Shauli Ravfogel Grusha Prasad Tal Linzen Yoav Goldberg 36 57 0 14 May 2021
From Human Explanation to Model Interpretability: A Framework Based on Weight of Evidence David Alvarez-Melis Harmanpreet Kaur Hal Daumé Hanna M. Wallach Jennifer Wortman Vaughan FAtt 56 28 0 27 Apr 2021
Contrastive Explanations of Plans Through Model Restrictions Benjamin Krarup Senka Krivic Daniele Magazzeni D. Long Michael Cashmore David E. Smith 22 32 0 29 Mar 2021
Contrastive Explanations for Model Interpretability Alon Jacovi Swabha Swayamdipta Shauli Ravfogel Yanai Elazar Yejin Choi Yoav Goldberg 49 95 0 02 Mar 2021
Astraea: Grammar-based Fairness Testing E. Soremekun Sakshi Udeshi Sudipta Chattopadhyay 26 27 0 06 Oct 2020
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning Eoin M. Kenny Mark T. Keane 28 99 0 10 Sep 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 49 371 0 30 Apr 2020
SCOUT: Self-aware Discriminant Counterfactual Explanations Pei Wang Nuno Vasconcelos FAtt 30 81 0 16 Apr 2020
Towards Transparent Robotic Planning via Contrastive Explanations Shenghui Chen Kayla Boggess Lu Feng 20 9 0 16 Mar 2020
The Emerging Landscape of Explainable AI Planning and Decision Making Tathagata Chakraborti S. Sreedharan S. Kambhampati 35 112 0 26 Feb 2020
Weight of Evidence as a Basis for Human-Oriented Explanations David Alvarez-Melis Hal Daumé Jennifer Wortman Vaughan Hanna M. Wallach XAI FAtt 26 20 0 29 Oct 2019
Towards Explainable AI Planning as a Service Michael Cashmore Anna Collins Benjamin Krarup Senka Krivic Daniele Magazzeni David Smith 13 50 0 14 Aug 2019
Leveraging Latent Features for Local Explanations Ronny Luss Pin-Yu Chen Amit Dhurandhar P. Sattigeri Yunfeng Zhang Karthikeyan Shanmugam Chun-Chen Tu FAtt 54 37 0 29 May 2019
Explainable Reinforcement Learning Through a Causal Lens Prashan Madumal Tim Miller L. Sonenberg F. Vetere CML 23 355 0 27 May 2019