Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers

21 January 2018

Papers citing "Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers"

28 / 78 papers shown

Title
Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning Wencan Zhang Mariella Dimiccoli Brian Y. Lim FAtt 24 18 0 10 Dec 2020
Landscape of R packages for eXplainable Artificial Intelligence Szymon Maksymiuk Alicja Gosiewska P. Biecek XAI 22 21 0 24 Sep 2020
Explainable Artificial Intelligence for Process Mining: A General Overview and Application of a Novel Local Explanation Approach for Predictive Process Monitoring Nijat Mehdiyev Peter Fettke AI4TS 25 55 0 04 Sep 2020
Attention Flows: Analyzing and Comparing Attention Mechanisms in Language Models Joseph F DeRose Jiayao Wang M. Berger 17 83 0 03 Sep 2020
A Survey of Visual Analytics Techniques for Machine Learning Jun Yuan Changjian Chen Weikai Yang Mengchen Liu Jiazhi Xia Shixia Liu 21 216 0 21 Aug 2020
Survey of XAI in digital pathology Milda Pocevičiūtė Gabriel Eilertsen Claes Lundström 8 56 0 14 Aug 2020
Revisiting the Modifiable Areal Unit Problem in Deep Traffic Prediction with Visual Analytics Wei Zeng Chengqiao Lin Juncong Lin Jincheng Jiang Jiazhi Xia Cagatay Turkay Wei Chen 27 27 0 30 Jul 2020
Diagnosing Concept Drift with Visual Analytics Weikai Yang Zhuguo Li Mengchen Liu Yafeng Lu Kelei Cao Ross Maciejewski Shixia Liu 47 33 0 28 Jul 2020
Unleashing the power of disruptive and emerging technologies amid COVID-19: A detailed review Sonali Agarwal Narinder Singh Punn S. K. Sonbhadra M. Tanveer P. Nagabhushan K. K. S. Pandian Praveer Saxena 16 58 0 23 May 2020
Don't Explain without Verifying Veracity: An Evaluation of Explainable AI with Video Activity Recognition Mahsan Nourani Chiradeep Roy Tahrima Rahman Eric D. Ragan Nicholas Ruozzi Vibhav Gogate AAML 12 17 0 05 May 2020
The Grammar of Interactive Explanatory Model Analysis Hubert Baniecki Dariusz Parzych P. Biecek 18 44 0 01 May 2020
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization Zijie J. Wang Robert Turko Omar Shaikh Haekyu Park Nilaksh Das Fred Hohman Minsuk Kahng Duen Horng Chau HAI FAtt 24 240 0 30 Apr 2020
DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning Theo Jaunet Romain Vuillemot Christian Wolf HAI 18 36 0 06 Sep 2019
LassoNet: Deep Lasso-Selection of 3D Point Clouds Zhutian Chen Wei Zeng Zhiguang Yang Lingyun Yu Chi-Wing Fu Huamin Qu 3DPC 18 44 0 31 Jul 2019
Visual Interaction with Deep Learning Models through Collaborative Semantic Inference Sebastian Gehrmann Hendrik Strobelt Robert Krüger Hanspeter Pfister Alexander M. Rush HAI 21 57 0 24 Jul 2019
The Role of Cooperation in Responsible AI Development Amanda Askell Miles Brundage Gillian Hadfield 33 60 0 10 Jul 2019
The What-If Tool: Interactive Probing of Machine Learning Models James Wexler Mahima Pushkarna Tolga Bolukbasi Martin Wattenberg F. Viégas Jimbo Wilson VLM 37 484 0 09 Jul 2019
NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation Subhashis Hazarika Haoyu Li Ko-Chih Wang Han-Wei Shen Ching-Shan Chou 31 20 0 19 Apr 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 8 183 0 10 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 19 213 0 04 Apr 2019
VINE: Visualizing Statistical Interactions in Black Box Models M. Britton FAtt 17 21 0 01 Apr 2019
Robust Reference Frame Extraction from Unsteady 2D Vector Fields with Convolutional Neural Networks Byungsoo Kim Tobias Günther 3DPC 21 41 0 25 Mar 2019
A Gray Box Interpretable Visual Debugging Approach for Deep Sequence Learning Model Md. Mofijul Islam Amar Debnath Tahsin Al Sayeed Jyotirmay Nag Setu Md Mahmudur Rahman Md. Sadman Sakib M. Razzaque Md. Mosaddek Khan Swakkhar Shatabda HAI AAML VLM 27 0 0 20 Nov 2018
Evaluating the Readability of Force Directed Graph Layouts: A Deep Learning Approach Hammad Haleem Y. Wang Abishek Puri Sahil Wadhwa Huamin Qu GNN 11 43 0 02 Aug 2018
Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models Hendrik Strobelt Sebastian Gehrmann M. Behrisch Adam Perer Hanspeter Pfister Alexander M. Rush VLM HAI 31 239 0 25 Apr 2018
Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression Nilaksh Das Madhuri Shanbhogue Shang-Tse Chen Fred Hohman Siwei Li Li-Wei Chen Michael E. Kounavis Duen Horng Chau FedML AAML 43 224 0 19 Feb 2018
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,837 0 08 Jul 2016