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The What-If Tool: Interactive Probing of Machine Learning Models

IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2019

9 July 2019

Papers citing "The What-If Tool: Interactive Probing of Machine Learning Models"

50 / 240 papers shown

Title
Deconstructing Human-AI Collaboration: Agency, Interaction, and Adaptation Steffen Holter Mennatallah El-Assady HAI 258 21 0 18 Apr 2024
JailbreakLens: Visual Analysis of Jailbreak Attacks Against Large Language Models Yingchaojie Feng Zhizhang Chen Zhining Kang Sijia Wang Haoyu Tian Wei Zhang Minfeng Zhu Wei Chen 306 8 0 12 Apr 2024
LVLM-Interpret: An Interpretability Tool for Large Vision-Language Models Gabriela Ben-Melech Stan Estelle Aflalo R. Y. Rohekar Anahita Bhiwandiwalla Shao-Yen Tseng Matthew Lyle Olson Yaniv Gurwicz Chenfei Wu Nan Duan Vasudev Lal 417 14 0 03 Apr 2024
Talaria: Interactively Optimizing Machine Learning Models for Efficient InferenceInternational Conference on Human Factors in Computing Systems (CHI), 2024 Fred Hohman Chaoqun Wang Jinmook Lee Jochen Görtler Dominik Moritz Jeffrey P. Bigham Zhile Ren Cecile Foret Qi Shan Xiaoyi Zhang 278 7 0 03 Apr 2024
Harder, Better, Faster, Stronger: Interactive Visualization for Human-Centered AI Tools Md. Naimul Hoque Sungbok Shin Niklas Elmqvist 178 1 0 02 Apr 2024
Designing a User-centric Framework for Information Quality Ranking of Large-scale Street View Images Tahiya Chowdhury Ilan Mandel Jorge Ortiz Wendy Ju 109 0 0 30 Mar 2024
Equity in Healthcare: Analyzing Disparities in Machine Learning Predictions of Diabetic Patient Readmissions Zainab Al-zanbouri Gauri Sharma Shaina Raza 194 2 0 27 Mar 2024
The Pursuit of Fairness in Artificial Intelligence Models: A Survey Tahsin Alamgir Kheya Mohamed Reda Bouadjenek Sunil Aryal 296 21 0 26 Mar 2024
FairTargetSim: An Interactive Simulator for Understanding and Explaining the Fairness Effects of Target Variable DefinitionInternational Joint Conference on Artificial Intelligence (IJCAI), 2024 Dalia Gala Milo Phillips-Brown Naman Goel Carinal Prunkl L. A. Jubete Medb Corcoran Ray Eitel-Porter 175 0 0 09 Mar 2024
Farsight: Fostering Responsible AI Awareness During AI Application Prototyping Zijie J. Wang Chinmay Kulkarni Lauren Wilcox Michael Terry Michael A. Madaio 298 70 0 23 Feb 2024
Doing AI: Algorithmic decision support as a human activity Joachim Meyer 163 0 0 22 Feb 2024
Understanding the Dataset Practitioners Behind Large Language Model Development Crystal Qian Emily Reif Minsuk Kahng 223 3 0 21 Feb 2024
Position: Explain to Question not to Justify Przemysław Biecek Wojciech Samek 302 23 0 21 Feb 2024
Clarify: Improving Model Robustness With Natural Language CorrectionsACM Symposium on User Interface Software and Technology (UIST), 2024 Yoonho Lee Michelle S. Lam Helena Vasconcelos Michael S. Bernstein Chelsea Finn 206 11 0 06 Feb 2024
A Scoping Study of Evaluation Practices for Responsible AI Tools: Steps Towards Effectiveness Evaluations G. Berman Nitesh Goyal Michael A. Madaio ELM 199 29 0 30 Jan 2024
An Empirical Study of Counterfactual Visualization to Support Visual Causal InferenceInformation Visualization (InfoVis), 2024 Arran Zeyu Wang D. Borland David Gotz CML 183 14 0 16 Jan 2024
Informed AI Regulation: Comparing the Ethical Frameworks of Leading LLM Chatbots Using an Ethics-Based Audit to Assess Moral Reasoning and Normative Values Jon Chun Katherine Elkins SILM ELM 59 7 0 09 Jan 2024
Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective Haoyi Xiong Xuhong Li Xiaofei Zhang Jiamin Chen Xinhao Sun Yuchen Li Zeyi Sun Jundong Li XAI 330 13 0 09 Jan 2024
Towards Directive Explanations: Crafting Explainable AI Systems for Actionable Human-AI Interactions Aditya Bhattacharya 191 10 0 29 Dec 2023
FairCompass: Operationalising Fairness in Machine Learning Jessica Liu Huaming Chen Jun Shen Kim-Kwang Raymond Choo FaML 132 8 0 27 Dec 2023
Fair Enough? A map of the current limitations of the requirements to have "fair" algorithms Alessandro Castelnovo Nicole Inverardi Gabriele Nanino Ilaria Giuseppina Penco D. Regoli FaML 246 4 0 21 Nov 2023
She had Cobalt Blue Eyes: Prompt Testing to Create Aligned and Sustainable Language Models Maximus Powers Oluwanifemi Bamgbose Shaina Raza ALM ELM 325 1 0 20 Oct 2023
Foundation Models Meet Visualizations: Challenges and OpportunitiesComputational Visual Media (CVM), 2023 Weikai Yang Mengchen Liu Zheng Wang Shixia Liu 193 59 0 09 Oct 2023
Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning ExperiencesInternational Conference on Human Factors in Computing Systems (CHI), 2023 Fred Hohman Mary Beth Kery Donghao Ren Dominik Moritz 325 24 0 06 Oct 2023
Designing User-Centric Behavioral Interventions to Prevent Dysglycemia with Novel Counterfactual Explanations Asiful Arefeen Hassan Ghasemzadeh 179 5 0 02 Oct 2023
Should you make your decisions on a WhIM? Data-Driven Decision making using a What-If Machine for Evaluation of Hypothetical Scenarios J. Echterhoff Bhaskar Sen Yifei Ren Kévin Bailly 83 1 0 29 Sep 2023
Where Are We So Far? Understanding Data Storytelling Tools from the Perspective of Human-AI CollaborationInternational Conference on Human Factors in Computing Systems (CHI), 2023 Haotian Li Yun Wang Huamin Qu 204 56 0 27 Sep 2023
EvalLM: Interactive Evaluation of Large Language Model Prompts on User-Defined CriteriaInternational Conference on Human Factors in Computing Systems (CHI), 2023 Tae Soo Kim Yoonjoo Lee Jamin Shin Young-Ho Kim Juho Kim 217 116 0 24 Sep 2023
A Comprehensive Review on Financial Explainable AIArtificial Intelligence Review (AIR), 2023 Wei Jie Yeo Wihan van der Heever Rui Mao Xiaoshi Zhong Frank Xing G. Mengaldo XAI AI4TS 203 47 0 21 Sep 2023
Inverse classification with logistic and softmax classifiers: efficient optimization Miguel Á. Carreira-Perpiñán Suryabhan Singh Hada 140 1 0 16 Sep 2023
Diagnosing Infeasible Optimization Problems Using Large Language ModelsINFOR. Information systems and operational research (INFOR), 2023 Hao Chen Gonzalo E. Constante-Flores Canzhou Li AI4CE 233 36 0 23 Aug 2023
Help or Hinder? Evaluating the Impact of Fairness Metrics and Algorithms in Visualizations for Consensus RankingConference on Fairness, Accountability and Transparency (FAccT), 2023 Hilson Shrestha Kathleen Cachel Mallak Alkhathlan Elke A. Rundensteiner Lane Harrison 165 5 0 11 Aug 2023
Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML ResearchIEEE Transactions on Visualization and Computer Graphics (TVCG), 2023 Hariharan Subramonyam Jessica Hullman VLM HAI 140 12 0 10 Aug 2023
Addressing Racial Bias in Facial Emotion Recognition Alex Fan Xuesu Xiao Peter Washington 151 5 0 09 Aug 2023
My Model is Unfair, Do People Even Care? Visual Design Affects Trust and Perceived Bias in Machine LearningIEEE Transactions on Visualization and Computer Graphics (TVCG), 2023 Aimen Gaba Zhanna Kaufman Jason Chueng Marie Shvakel Kyle Wm. Hall Yuriy Brun Cindy Xiong Bearfield 125 21 0 07 Aug 2023
Monitoring Algorithmic Fairness under Partial ObservationsRuntime Verification (RV), 2023 T. Henzinger Konstantin Kueffner Kaushik Mallik MLAU 195 6 0 01 Aug 2023
VISPUR: Visual Aids for Identifying and Interpreting Spurious Associations in Data-Driven DecisionsIEEE Transactions on Visualization and Computer Graphics (TVCG), 2023 Xian Teng Yongsu Ahn Y. Lin CML 176 5 0 26 Jul 2023
CommonsenseVIS: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language ModelsIEEE Transactions on Visualization and Computer Graphics (TVCG), 2023 Xingbo Wang Renfei Huang Zhihua Jin Tianqing Fang Huamin Qu VLM ReLM LRM 324 3 0 23 Jul 2023
The State of Algorithmic Fairness in Mobile Human-Computer InteractionInternational Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI), 2023 Sofia Yfantidou Marios Constantinides Dimitris Spathis Athena Vakali Daniele Quercia F. Kawsar FaML 154 4 0 22 Jul 2023
TimeTuner: Diagnosing Time Representations for Time-Series Forecasting with Counterfactual ExplanationsIEEE Transactions on Visualization and Computer Graphics (TVCG), 2023 Jianing Hao Qing Shi Yilin Ye Weizhen Zeng AI4TS 277 10 0 19 Jul 2023
Visual Analytics For Machine Learning: A Data Perspective SurveyIEEE Transactions on Visualization and Computer Graphics (TVCG), 2023 Junpeng Wang Shixia Liu Wei Zhang HAI 195 35 0 15 Jul 2023
Visual Explanations with Attributions and Counterfactuals on Time Series Classification U. Schlegel Daniela Oelke Daniel A. Keim Mennatallah El-Assady AI4TS FAtt 259 5 0 14 Jul 2023
Leveraging Contextual Counterfactuals Toward Belief Calibration Qiuyi Zhang Zhang Michael S. Lee Sherol Chen 126 1 0 13 Jul 2023
Designing a Direct Feedback Loop between Humans and Convolutional Neural Networks through Local Explanations Tong Sun Yuyang Gao Shubham Khaladkar Sijia Liu Bo Pan Younghoon Kim S. Hong AAML FAtt HAI 244 8 0 08 Jul 2023
Calculating and Visualizing Counterfactual Feature Importance Values B. Meulemeester Raphael Mazzine Barbosa de Oliveira David Martens FAtt 75 4 0 10 Jun 2023
Membership inference attack with relative decision boundary distance Jiacheng Xu Chengxiang Tan 159 2 0 07 Jun 2023
NeuroX Library for Neuron Analysis of Deep NLP ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Fahim Dalvi Hassan Sajjad Nadir Durrani 225 14 0 26 May 2023
Finspector: A Human-Centered Visual Inspection Tool for Exploring and Comparing Biases among Foundation ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Bum Chul Kwon Nandana Mihindukulasooriya VLM 234 7 0 26 May 2023
Monitoring Algorithmic FairnessInternational Conference on Computer Aided Verification (CAV), 2023 T. Henzinger Mahyar Karimi Konstantin Kueffner Kaushik Mallik FaML 221 12 0 25 May 2023
Trustworthy, responsible, ethical AI in manufacturing and supply chains: synthesis and emerging research questions Alexandra Brintrup George Baryannis Ashutosh Tiwari S. Ratchev Giovanna Martínez-Arellano Jatinder Singh 197 8 0 19 May 2023