Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment

6 February 2022

Papers citing "Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment"

50 / 52 papers shown

Title
Saliency-Regularized Deep Multi-Task Learning Guangji Bai Liang Zhao 73 8 0 03 Jul 2022
RES: A Robust Framework for Guiding Visual Explanation Yuyang Gao Tong Sun Guangji Bai Siyi Gu S. Hong Liang Zhao FAtt AAML XAI 85 33 0 27 Jun 2022
Gaze-Guided Class Activation Mapping: Leveraging Human Attention for Network Attention in Chest X-rays Classification Hongzhi Zhu Septimiu Salcudean R. Rohling MedIm 48 4 0 15 Feb 2022
Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Development Alexandros Karargyris Satyananda Kashyap Ismini Lourentzou Joy T. Wu Arjun Sharma ... Shafiq Abedin David Beymer Vandana V. Mukherjee E. Krupinski Mehdi Moradi MedIm 65 101 0 15 Sep 2020
Proper Network Interpretability Helps Adversarial Robustness in Classification Akhilan Boopathy Sijia Liu Gaoyuan Zhang Cynthia Liu Pin-Yu Chen Shiyu Chang Luca Daniel AAML FAtt 116 66 0 26 Jun 2020
Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement Xiaojie Guo Liang Zhao Zhao Qin Lingfei Wu Amarda Shehu Yanfang Ye CoGe DRL 118 46 0 09 Jun 2020
Aligning Faithful Interpretations with their Social Attribution Alon Jacovi Yoav Goldberg 71 106 0 01 Jun 2020
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 200 383 0 09 May 2020
Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs Sungsoo Ray Hong Jessica Hullman E. Bertini HAI 81 195 0 23 Apr 2020
Grid Search, Random Search, Genetic Algorithm: A Big Comparison for NAS Petro B. Liashchynskyi Pavlo Liashchynskyi 83 545 0 12 Dec 2019
Explanation vs Attention: A Two-Player Game to Obtain Attention for VQA Badri N. Patro Anupriy Vinay P. Namboodiri AAML FAtt 79 26 0 19 Nov 2019
BEAN: Interpretable Representation Learning with Biologically-Enhanced Artificial Neuronal Assembly Regularization Yuyang Gao Giorgio Ascoli Liang Zhao 62 16 0 27 Sep 2019
A 20-Year Community Roadmap for Artificial Intelligence Research in the US Y. Gil B. Selman AI4TS 52 54 0 07 Aug 2019
Incorporating Priors with Feature Attribution on Text Classification Frederick Liu Besim Avci FAtt FaML 99 120 0 19 Jun 2019
Few-Shot Learning with Per-Sample Rich Supervision Roman Visotsky Yuval Atzmon Gal Chechik 45 7 0 10 Jun 2019
Embedding Human Knowledge into Deep Neural Network via Attention Map Masahiro Mitsuhara Hiroshi Fukui Yusuke Sakashita Takanori Ogata Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi 83 73 0 09 May 2019
FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning Ángel Alexander Cabrera Will Epperson Fred Hohman Minsuk Kahng Jamie Morgenstern Duen Horng Chau FaML 128 187 0 10 Apr 2019
VINE: Visualizing Statistical Interactions in Black Box Models M. Britton FAtt 63 22 0 01 Apr 2019
Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making S. Aghaei Javad Azizi P. Vayanos FaML 67 179 0 25 Mar 2019
SIXray : A Large-scale Security Inspection X-ray Benchmark for Prohibited Item Discovery in Overlapping Images Caijing Miao Lingxi Xie Fang Wan Chi Su Hongye Liu Jianbin Jiao QiXiang Ye 39 229 0 02 Jan 2019
Learning Not to Learn: Training Deep Neural Networks with Biased Data Byungju Kim Hyunwoo Kim Kyungsu Kim Sungjin Kim Junmo Kim OOD 65 411 0 26 Dec 2018
Attention Branch Network: Learning of Attention Mechanism for Visual Explanation Hiroshi Fukui Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi XAI FAtt 83 409 0 25 Dec 2018
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 258 773 0 13 Dec 2018
From Recognition to Cognition: Visual Commonsense Reasoning Rowan Zellers Yonatan Bisk Ali Farhadi Yejin Choi LRM BDL OCL ReLM 188 883 0 27 Nov 2018
How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness N. Saxena Karen Huang Evan DeFilippis Goran Radanović David C. Parkes Yang Liu FaML 86 180 0 08 Nov 2018
The Frontiers of Fairness in Machine Learning Alexandra Chouldechova Aaron Roth FaML 205 416 0 20 Oct 2018
Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure Besmira Nushi Ece Kamar Eric Horvitz 50 141 0 19 Sep 2018
GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation Minsuk Kahng Nikhil Thorat Duen Horng Chau F. Viégas Martin Wattenberg HAI GAN 71 173 0 05 Sep 2018
RuleMatrix: Visualizing and Understanding Classifiers with Rules Yao Ming Huamin Qu E. Bertini FAtt 72 215 0 17 Jul 2018
Women also Snowboard: Overcoming Bias in Captioning Models (Extended Abstract) Lisa Anne Hendricks Kaylee Burns Kate Saenko Trevor Darrell Anna Rohrbach 136 480 0 02 Jul 2018
A Survey Of Methods For Explaining Black Box Models Riccardo Guidotti A. Monreale Salvatore Ruggieri Franco Turini D. Pedreschi F. Giannotti XAI 158 3,989 0 06 Feb 2018
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers Fred Hohman Minsuk Kahng Robert S. Pienta Duen Horng Chau OOD HAI 97 541 0 21 Jan 2018
Understanding Hidden Memories of Recurrent Neural Networks Yao Ming Shaozu Cao Ruixiang Zhang Zerui Li Yuanzhe Chen Yangqiu Song Huamin Qu HAI 48 201 0 30 Oct 2017
Do Convolutional Neural Networks Learn Class Hierarchy? B. Alsallakh Amin Jourabloo Mao Ye Xiaoming Liu Liu Ren 186 214 0 17 Oct 2017
Exploring Human-like Attention Supervision in Visual Question Answering Tingting Qiao Jianfeng Dong Duanqing Xu 61 105 0 19 Sep 2017
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints Jieyu Zhao Tianlu Wang Mark Yatskar Vicente Ordonez Kai-Wei Chang FaML 116 974 0 29 Jul 2017
Network Dissection: Quantifying Interpretability of Deep Visual Representations David Bau Bolei Zhou A. Khosla A. Oliva Antonio Torralba MILM FAtt 161 1,525 1 19 Apr 2017
ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models Minsuk Kahng Pierre Yves Andrews Aditya Kalro Duen Horng Chau HAI 91 324 0 06 Apr 2017
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations A. Ross M. C. Hughes Finale Doshi-Velez FAtt 141 592 0 10 Mar 2017
Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration Himabindu Lakkaraju Ece Kamar R. Caruana Eric Horvitz 91 152 0 28 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 236 4,341 0 07 Oct 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 359 20,136 0 07 Oct 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 693 29,220 0 09 Sep 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 115 467 0 11 Jun 2016
Rationale-Augmented Convolutional Neural Networks for Text Classification Ye Zhang Iain J. Marshall Byron C. Wallace 76 162 0 14 May 2016
Towards Better Analysis of Deep Convolutional Neural Networks Mengchen Liu Jiaxin Shi Zerui Li Chongxuan Li Jun Zhu Shixia Liu HAI 127 477 0 24 Apr 2016
Harnessing Deep Neural Networks with Logic Rules Zhiting Hu Xuezhe Ma Zhengzhong Liu Eduard H. Hovy Eric Xing AI4CE NAI 109 615 0 21 Mar 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 256 9,342 0 14 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,641 0 10 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,433 0 22 Dec 2014