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会议文集

文集名	xxAI - Beyond Explainable AI
会议名	International Workshop on Extending Explainable AI Beyond Deep Models and Classifiers (xxAI), Held in Conjunction with ICML 2020
中译名	《国际在深度模型和分类器之外扩展可解释的人工智能讨论会》
机构	Fraunhofer Heinrich Hertz Institute
会议日期	July 18, 2020
会议地点	Vienna, Austria
出版年	2022
馆藏号	343477

题名	作者	出版年
xxAI - Beyond Explainable Artificial Intelligence	Andreas Holzinger; Randy Goebel; Ruth Fong; Taesup Moon; Klaus-Robert Muller; Wojciech Samek	2022
Explainable AI Methods - A Brief Overview	Andreas Holzinger; Anna Saranti; Christoph Molnar; Przemyslaw Biecek; Wojciech Samek	2022
General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models	Christoph Molnar; Gunnar Konig; Julia Herbinger; Timo Freiesleben; Susanne Dandl; Christian A. Scholbeck; Giuseppe Casalicchio; Moritz Grosse-Wentrup; Bernd Bischl	2022
CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations	Leonard Salewski; A. Sophia Koepke; Hendrik P. A. Lensch; Zeynep Akata	2022
A Rate-Distortion Framework for Explaining Black-Box Model Decisions	Stefan Kolek; Duc Anh Nguyen; Ron Levie; Joan Bruna; Gitta Kutyniok	2022
Explaining the Predictions of Unsupervised Learning Models	Gregoire Montavon; Jacob Kauffmann; Wojciech Samek; Klaus-Robert Muller	2022
Towards Causal Algorithmic Recourse	Amir-Hossein Karimi; Julius von Kugelgen; Bernhard Scholkopf; Isabel Valera	2022
Interpreting Generative Adversarial Networks for Interactive Image Generation	Bolei Zhou	2022
XAI and Strategy Extraction via Reward Redistribution	Marius-Constantin Dinu; Markus Hofmarcher; Vihang P. Patil; Matthias Dorfer; Patrick M. Blies; Johannes Brandstetter; Jose A. Arjona-Medina; Sepp Hochreiter	2022
Interpretable, Verifiable, and Robust Reinforcement Learning via Program Synthesis	Osbert Bastani; Jeevana Priya Inala; Armando Solar-Lezama	2022
Interpreting and Improving Deep-Learning Models with Reality Checks	Chandan Singh; Wooseok Ha; Bin Yu	2022
Beyond the Visual Analysis of Deep Model Saliency	Sarah Adel Bargal; Andrea Zunino; Vitali Petsiuk; Jianming Zhang; Vittorio Murino; Stan Sclaroff; Kate Saenko	2022
ECQ~X: Explainability-Driven Quantization for Low-Bit and Sparse DNNs	Daniel Becking; Maximilian Dreyer; Wojciech Samek; Karsten Muller; Sebastian Lapuschkin	2022
A Whale's Tail - Finding the Right Whale in an Uncertain World	Diego Marcos; Jana Kierdorf; Ted Cheeseman; Devis Tuia; Ribana Roscher	2022
Explainable Artificial Intelligence in Meteorology and Climate Science: Model Fine-Tuning, Calibrating Trust and Learning New Science	Antonios Mamalakis; Imme Ebert-Uphoff; Elizabeth A. Barnes	2022
Varieties of AI Explanations Under the Law. From the GDPR to the AIA, and Beyond	Philipp Hacker; Jan-Hendrik Passoth	2022
Towards Explainability for AI Fairness	Jianlong Zhou; Fang Chen; Andreas Holzinger	2022
Logic and Pragmatics in AI Explanation	Chun-Hua Tsai; John M. Carroll	2022