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

9 July 2019

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

50 / 230 papers shown

Title
Understanding the Dataset Practitioners Behind Large Language Model Development Crystal Qian Emily Reif Minsuk Kahng 39 3 0 21 Feb 2024
Position: Explain to Question not to Justify Przemysław Biecek Wojciech Samek 38 11 0 21 Feb 2024
Clarify: Improving Model Robustness With Natural Language Corrections Yoonho Lee Michelle S. Lam Helena Vasconcelos Michael S. Bernstein Chelsea Finn 33 6 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 45 20 0 30 Jan 2024
An Empirical Study of Counterfactual Visualization to Support Visual Causal Inference Arran Zeyu Wang D. Borland David Gotz CML 46 11 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 9 6 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 40 8 0 09 Jan 2024
Towards Directive Explanations: Crafting Explainable AI Systems for Actionable Human-AI Interactions Aditya Bhattacharya 21 4 0 29 Dec 2023
FairCompass: Operationalising Fairness in Machine Learning Jessica Liu Huaming Chen Jun Shen Kim-Kwang Raymond Choo FaML 32 6 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 21 1 0 21 Nov 2023
She had Cobalt Blue Eyes: Prompt Testing to Create Aligned and Sustainable Language Models Veronica Chatrath Oluwanifemi Bamgbose Shaina Raza ALM ELM 19 1 0 20 Oct 2023
Foundation Models Meet Visualizations: Challenges and Opportunities Weikai Yang Mengchen Liu Zheng Wang Shixia Liu 36 36 0 09 Oct 2023
Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experiences Fred Hohman Mary Beth Kery Donghao Ren Dominik Moritz 26 16 0 06 Oct 2023
Designing User-Centric Behavioral Interventions to Prevent Dysglycemia with Novel Counterfactual Explanations Asiful Arefeen Hassan Ghasemzadeh 28 3 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 11 0 0 29 Sep 2023
Where Are We So Far? Understanding Data Storytelling Tools from the Perspective of Human-AI Collaboration Haotian Li Yun Wang Huamin Qu 40 38 0 27 Sep 2023
EvalLM: Interactive Evaluation of Large Language Model Prompts on User-Defined Criteria Tae Soo Kim Yoonjoo Lee Jamin Shin Young-Ho Kim Juho Kim 34 69 0 24 Sep 2023
A Comprehensive Review on Financial Explainable AI Wei Jie Yeo Wihan van der Heever Rui Mao Erik Cambria Ranjan Satapathy G. Mengaldo XAI AI4TS 29 15 0 21 Sep 2023
Inverse classification with logistic and softmax classifiers: efficient optimization Miguel Á. Carreira-Perpiñán Suryabhan Singh Hada 26 1 0 16 Sep 2023
Diagnosing Infeasible Optimization Problems Using Large Language Models Hao Chen Gonzalo E. Constante-Flores Canzhou Li AI4CE 13 20 0 23 Aug 2023
Help or Hinder? Evaluating the Impact of Fairness Metrics and Algorithms in Visualizations for Consensus Ranking Hilson Shrestha Kathleen Cachel Mallak Alkhathlan Elke A. Rundensteiner Lane Harrison 16 3 0 11 Aug 2023
Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research Hariharan Subramonyam Jessica Hullman VLM HAI 27 8 0 10 Aug 2023
Addressing Racial Bias in Facial Emotion Recognition Alex Fan Xuesu Xiao Peter Washington 24 1 0 09 Aug 2023
My Model is Unfair, Do People Even Care? Visual Design Affects Trust and Perceived Bias in Machine Learning Aimen Gaba Zhanna Kaufman Jason Chueng Marie Shvakel Kyle Wm. Hall Yuriy Brun Cindy Xiong Bearfield 27 14 0 07 Aug 2023
Monitoring Algorithmic Fairness under Partial Observations T. Henzinger Konstantin Kueffner Kaushik Mallik MLAU 25 2 0 01 Aug 2023
VISPUR: Visual Aids for Identifying and Interpreting Spurious Associations in Data-Driven Decisions Xian Teng Yongsu Ahn Y. Lin CML 30 4 0 26 Jul 2023
CommonsenseVIS: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Models Xingbo Wang Renfei Huang Zhihua Jin Tianqing Fang Huamin Qu VLM ReLM LRM 35 1 0 23 Jul 2023
The State of Algorithmic Fairness in Mobile Human-Computer Interaction Sofia Yfantidou Marios Constantinides Dimitris Spathis Athena Vakali Daniele Quercia F. Kawsar FaML 21 3 0 22 Jul 2023
TimeTuner: Diagnosing Time Representations for Time-Series Forecasting with Counterfactual Explanations Jianing Hao Qing Shi Yilin Ye Weizhen Zeng AI4TS 47 2 0 19 Jul 2023
Visual Analytics For Machine Learning: A Data Perspective Survey Junpeng Wang Shixia Liu Wei Zhang HAI 32 17 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 33 4 0 14 Jul 2023
Leveraging Contextual Counterfactuals Toward Belief Calibration Qiuyi Zhang Zhang Michael S. Lee Sherol Chen 29 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 Liang Zhao Younghoon Kim S. Hong AAML FAtt HAI 24 6 0 08 Jul 2023
Calculating and Visualizing Counterfactual Feature Importance Values B. Meulemeester Raphael Mazzine Barbosa de Oliveira David Martens FAtt 19 1 0 10 Jun 2023
Membership inference attack with relative decision boundary distance Jiacheng Xu Chengxiang Tan 26 1 0 07 Jun 2023
NeuroX Library for Neuron Analysis of Deep NLP Models Fahim Dalvi Hassan Sajjad Nadir Durrani 27 10 0 26 May 2023
Finspector: A Human-Centered Visual Inspection Tool for Exploring and Comparing Biases among Foundation Models Bum Chul Kwon Nandana Mihindukulasooriya VLM 31 5 0 26 May 2023
Monitoring Algorithmic Fairness T. Henzinger Mahyar Karimi Konstantin Kueffner Kaushik Mallik FaML 24 6 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 32 3 0 19 May 2023
Modelling Concurrency Bugs Using Machine Learning Teodor Rares Begu 11 0 0 08 May 2023
SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks Zijie J. Wang David Munechika Seongmin Lee Duen Horng Chau 39 9 0 04 May 2023
Disagreement amongst counterfactual explanations: How transparency can be deceptive Dieter Brughmans Lissa Melis David Martens 31 3 0 25 Apr 2023
Supporting Human-AI Collaboration in Auditing LLMs with LLMs Charvi Rastogi Marco Tulio Ribeiro Nicholas King Harsha Nori Saleema Amershi ALM 27 67 0 19 Apr 2023
counterfactuals: An R Package for Counterfactual Explanation Methods Susanne Dandl Andreas Hofheinz Martin Binder B. Bischl Giuseppe Casalicchio 34 2 0 13 Apr 2023
Angler: Helping Machine Translation Practitioners Prioritize Model Improvements Samantha Robertson Zijie J. Wang Dominik Moritz Mary Beth Kery Fred Hohman 35 15 0 12 Apr 2023
Beyond Accuracy: A Critical Review of Fairness in Machine Learning for Mobile and Wearable Computing Sofia Yfantidou Marios Constantinides Dimitris Spathis Athena Vakali Daniele Quercia F. Kawsar HAI FaML 28 18 0 27 Mar 2023
Explain To Me: Salience-Based Explainability for Synthetic Face Detection Models Colton R. Crum Patrick J. Tinsley Aidan Boyd Jacob Piland Christopher Sweet Timothy D. Kelley Kevin W. Bowyer A. Czajka CVBM XAI AAML FAtt 16 6 0 21 Mar 2023
Visual Analytics of Multivariate Networks with Representation Learning and Composite Variable Construction Hsiao-Ying Lu Takanori Fujiwara Ming-Yi Chang Yang-chih Fu Anders Ynnerman Kwan-Liu Ma CML 27 3 0 16 Mar 2023
WebSHAP: Towards Explaining Any Machine Learning Models Anywhere Zijie J. Wang Duen Horng Chau 17 3 0 16 Mar 2023
NxPlain: Web-based Tool for Discovery of Latent Concepts Fahim Dalvi Nadir Durrani Hassan Sajjad Tamim Jaban Musab Husaini Ummar Abbas 15 1 0 06 Mar 2023