Interpreting Neural Networks Using Flip Points

21 March 2019

Papers citing "Interpreting Neural Networks Using Flip Points"

8 / 8 papers shown

Title
Even-Ifs From If-Onlys: Are the Best Semi-Factual Explanations Found Using Counterfactuals As Guides? Saugat Aryal Mark T. Keane 191 5 0 01 Mar 2024
Even if Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAIInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 Saugat Aryal Markt. Keane 176 26 0 27 Jan 2023
Demystifying Deep Neural Networks Through Interpretation: A Survey Giang Dao Minwoo Lee FaML FAtt 172 1 0 13 Dec 2020
Using Wavelets to Analyze Similarities in Image-Classification Datasets Roozbeh Yousefzadeh 74 0 0 24 Feb 2020
DANCE: Enhancing saliency maps using decoysInternational Conference on Machine Learning (ICML), 2020 Y. Lu Wenbo Guo Masashi Sugiyama William Stafford Noble AAML 220 14 0 03 Feb 2020
Auditing and Debugging Deep Learning Models via Decision Boundaries: Individual-level and Group-level Analysis Roozbeh Yousefzadeh D. O’Leary AAML FAtt 114 5 0 03 Jan 2020
Investigating Decision Boundaries of Trained Neural Networks Roozbeh Yousefzadeh D. O’Leary AAML 96 23 0 07 Aug 2019
Evaluating Explanation Without Ground Truth in Interpretable Machine Learning Fan Yang Mengnan Du Helen Zhou XAI ELM 153 76 0 16 Jul 2019