Explaining Explanations: An Overview of Interpretability of Machine
Learning

Explaining Explanations: An Overview of Interpretability of Machine Learning

31 May 2018

Leilani H. Gilpin

Michael A. Specter

Papers citing "Explaining Explanations: An Overview of Interpretability of Machine Learning"

16 / 166 papers shown

Title
On Completeness-aware Concept-Based Explanations in Deep Neural Networks Chih-Kuan Yeh Been Kim Sercan Ö. Arik Chun-Liang Li Tomas Pfister Pradeep Ravikumar FAtt 122 297 0 17 Oct 2019
NEURO-DRAM: a 3D recurrent visual attention model for interpretable neuroimaging classification D. Wood James H. Cole Thomas C Booth MedIm 22 12 0 10 Oct 2019
MonoNet: Towards Interpretable Models by Learning Monotonic Features An-phi Nguyen María Rodríguez Martínez FAtt 6 13 0 30 Sep 2019
Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation Junlin Yang Nicha Dvornek Fan Zhang Juntang Zhuang Julius Chapiro Mingde Lin James S. Duncan FedML OOD MedIm 19 17 0 27 Aug 2019
Evaluating Explanation Without Ground Truth in Interpretable Machine Learning Fan Yang Mengnan Du Xia Hu XAI ELM 19 66 0 16 Jul 2019
The Price of Interpretability Dimitris Bertsimas A. Delarue Patrick Jaillet Sébastien Martin 15 33 0 08 Jul 2019
Incorporating Priors with Feature Attribution on Text Classification Frederick Liu Besim Avci FAtt FaML 23 120 0 19 Jun 2019
Interpretable Neural Predictions with Differentiable Binary Variables Jasmijn Bastings Wilker Aziz Ivan Titov 18 211 0 20 May 2019
Knowledge-Based Sequential Decision-Making Under Uncertainty Daoming Lyu 11 4 0 16 May 2019
Deep Neural Network Ensembles S. Tao OOD FaML UQCV 11 37 0 11 Apr 2019
Artificial Intelligence for Pediatric Ophthalmology J. Reid Eric Eaton 14 60 0 06 Apr 2019
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations Fred Hohman Haekyu Park Caleb Robinson Duen Horng Chau FAtt 3DH HAI 9 213 0 04 Apr 2019
Explaining Explanations to Society Leilani H. Gilpin Cecilia Testart Nathaniel Fruchter Julius Adebayo XAI 19 34 0 19 Jan 2019
Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts Samuel Carton Qiaozhu Mei Paul Resnick FAtt AAML 9 34 0 01 Sep 2018
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding Akira Fukui Dong Huk Park Daylen Yang Anna Rohrbach Trevor Darrell Marcus Rohrbach 149 1,465 0 06 Jun 2016
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification Tianjun Xiao Yichong Xu Kuiyuan Yang Jiaxing Zhang Yuxin Peng Zheng-Wei Zhang 156 789 0 24 Nov 2014