Attentive Explanations: Justifying Decisions and Pointing to the
Evidence

Attentive Explanations: Justifying Decisions and Pointing to the Evidence

14 December 2016

Lisa Anne Hendricks

Bernt Schiele

Marcus Rohrbach

Papers citing "Attentive Explanations: Justifying Decisions and Pointing to the Evidence"

16 / 16 papers shown

Title
Optimization and Interpretability of Graph Attention Networks for Small Sparse Graph Structures in Automotive Applications Marion Neumeier Andreas Tollkühn S. Dorn M. Botsch Wolfgang Utschick GNN 19 4 0 25 May 2023
Levels of explainable artificial intelligence for human-aligned conversational explanations Richard Dazeley Peter Vamplew Cameron Foale Charlotte Young Sunil Aryal F. Cruz 30 90 0 07 Jul 2021
Recent Advances and Trends in Multimodal Deep Learning: A Review Jabeen Summaira Xi Li Amin Muhammad Shoib Songyuan Li Abdul Jabbar HAI 18 55 0 24 May 2021
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 41 371 0 30 Apr 2020
CheXplain: Enabling Physicians to Explore and UnderstandData-Driven, AI-Enabled Medical Imaging Analysis Yao Xie Melody Chen David Kao Ge Gao Xiang Ánthony' Chen 31 126 0 15 Jan 2020
Visual Entailment: A Novel Task for Fine-Grained Image Understanding Ning Xie Farley Lai Derek Doran Asim Kadav CoGe 51 322 0 20 Jan 2019
Diagnostic Accuracy of Content Based Dermatoscopic Image Retrieval with Deep Classification Features P. Tschandl G. Argenziano M. Razmara J. Yap 27 69 0 22 Oct 2018
Using Machine Learning Safely in Automotive Software: An Assessment and Adaption of Software Process Requirements in ISO 26262 Rick Salay Krzysztof Czarnecki 25 69 0 05 Aug 2018
Interpretable Discovery in Large Image Data Sets K. Wagstaff Jake H. Lee 14 9 0 21 Jun 2018
Interpretable to Whom? A Role-based Model for Analyzing Interpretable Machine Learning Systems Richard J. Tomsett Dave Braines Daniel Harborne Alun D. Preece Supriyo Chakraborty FaML 29 164 0 20 Jun 2018
Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples Yinpeng Dong Hang Su Jun Zhu Fan Bao AAML 28 126 0 18 Aug 2017
It Takes Two to Tango: Towards Theory of AI's Mind Arjun Chandrasekaran Deshraj Yadav Prithvijit Chattopadhyay Viraj Prabhu Devi Parikh 38 54 0 03 Apr 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,503 0 25 Jan 2017
Safety Verification of Deep Neural Networks Xiaowei Huang Marta Kwiatkowska Sen Wang Min Wu AAML 180 932 0 21 Oct 2016
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding Akira Fukui Dong Huk Park Daylen Yang Anna Rohrbach Trevor Darrell Marcus Rohrbach 167 1,464 0 06 Jun 2016
Learning Deep Representations of Fine-grained Visual Descriptions Scott E. Reed Zeynep Akata Bernt Schiele Honglak Lee OCL VLM 170 840 0 17 May 2016