Improving Users' Mental Model with Attention-directed Counterfactual Edits

13 October 2021

Papers citing "Improving Users' Mental Model with Attention-directed Counterfactual Edits"

28 / 28 papers shown

Title
ALMANACS: A Simulatability Benchmark for Language Model Explainability Edmund Mills Shiye Su Stuart J. Russell Scott Emmons 118 8 0 20 Dec 2023
The Impact of Explanations on AI Competency Prediction in VQA Kamran Alipour Arijit Ray Xiaoyu Lin J. Schulze Yi Yao Giedrius Burachas 42 9 0 02 Jul 2020
Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI) Mark T. Keane Barry Smyth CML 64 146 0 26 May 2020
A Study on Multimodal and Interactive Explanations for Visual Question Answering Kamran Alipour J. Schulze Yi Yao Avi Ziskind Giedrius Burachas 46 27 0 01 Mar 2020
Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing Vedika Agarwal Rakshith Shetty Mario Fritz CML AAML 56 157 0 16 Dec 2019
Explanation vs Attention: A Two-Player Game to Obtain Attention for VQA Badri N. Patro Anupriy Vinay P. Namboodiri AAML FAtt 52 26 0 19 Nov 2019
Sunny and Dark Outside?! Improving Answer Consistency in VQA through Entailed Question Generation Arijit Ray Karan Sikka Ajay Divakaran Stefan Lee Giedrius Burachas 48 65 0 10 Sep 2019
Counterfactual Visual Explanations Yash Goyal Ziyan Wu Jan Ernst Dhruv Batra Devi Parikh Stefan Lee CML 73 510 0 16 Apr 2019
Can You Explain That? Lucid Explanations Help Human-AI Collaborative Image Retrieval Arijit Ray Yi Yao Rakesh Kumar Ajay Divakaran Giedrius Burachas 28 5 0 05 Apr 2019
An Evaluation of the Human-Interpretability of Explanation Isaac Lage Emily Chen Jeffrey He Menaka Narayanan Been Kim Sam Gershman Finale Doshi-Velez FAtt XAI 96 156 0 31 Jan 2019
On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection Vivian Lai Chenhao Tan 70 377 0 19 Nov 2018
Do Explanations make VQA Models more Predictable to a Human? Arjun Chandrasekaran Viraj Prabhu Deshraj Yadav Prithvijit Chattopadhyay Devi Parikh FAtt 114 97 0 29 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.3K 94,479 0 11 Oct 2018
Explaining Image Classifiers by Counterfactual Generation C. Chang Elliot Creager Anna Goldenberg David Duvenaud VLM 61 264 0 20 Jul 2018
How do Humans Understand Explanations from Machine Learning Systems? An Evaluation of the Human-Interpretability of Explanation Menaka Narayanan Emily Chen Jeffrey He Been Kim S. Gershman Finale Doshi-Velez FAtt XAI 94 242 0 02 Feb 2018
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR Sandra Wachter Brent Mittelstadt Chris Russell MLAU 94 2,346 0 01 Nov 2017
Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge Damien Teney Peter Anderson Xiaodong He Anton Van Den Hengel 86 382 0 09 Aug 2017
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering Peter Anderson Xiaodong He Chris Buehler Damien Teney Mark Johnson Stephen Gould Lei Zhang AIMat 111 4,206 0 25 Jul 2017
Mask R-CNN Kaiming He Georgia Gkioxari Piotr Dollár Ross B. Girshick ObjD 342 27,125 0 20 Mar 2017
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering Yash Goyal Tejas Khot D. Summers-Stay Dhruv Batra Devi Parikh CoGe 314 3,223 0 02 Dec 2016
Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions Arijit Ray Gordon A. Christie Joey Tianyi Zhou Dhruv Batra Devi Parikh 44 56 0 21 Jun 2016
Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions? Abhishek Das Harsh Agrawal C. L. Zitnick Devi Parikh Dhruv Batra 90 465 0 11 Jun 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 281 1,465 0 06 Jun 2016
Adversarial Feature Learning Jiasen Lu Philipp Krahenbuhl Trevor Darrell GAN 105 1,608 0 31 May 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 852 16,891 0 16 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.7K 193,390 0 10 Dec 2015
Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering Huijuan Xu Kate Saenko 64 762 0 17 Nov 2015
VQA: Visual Question Answering Aishwarya Agrawal Jiasen Lu Stanislaw Antol Margaret Mitchell C. L. Zitnick Dhruv Batra Devi Parikh CoGe 164 5,449 0 03 May 2015