{"total":45,"rows":[{"id":"2110.04301","title":"Salient ImageNet: How to discover spurious features in Deep Learning?","created":"2021-10-08","cited_by_count":114,"area":null},{"id":"2101.04840","title":"Robustness Gym: Unifying the NLP Evaluation Landscape","created":"2021-01-13","cited_by_count":108,"area":null},{"id":"2107.08264","title":"M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis","created":"2021-07-17","cited_by_count":29,"area":null},{"id":"2212.11737","title":"The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations","created":"2022-12-22","cited_by_count":29,"area":null},{"id":"2307.07712","title":"Visual Analytics For Machine Learning: A Data Perspective Survey","created":"2023-07-15","cited_by_count":25,"area":null},{"id":"2103.02071","title":"Sibyl: Understanding and Addressing the Usability Challenges of Machine Learning In High-Stakes Decision Making","created":"2021-03-02","cited_by_count":19,"area":null},{"id":"2206.09355","title":"A Unified Understanding of Deep NLP Models for Text Classification","created":"2022-06-19","cited_by_count":18,"area":null},{"id":"2110.12536","title":"Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels","created":"2021-10-24","cited_by_count":17,"area":null},{"id":"2203.15566","title":"Core Risk Minimization using Salient ImageNet","created":"2022-03-28","cited_by_count":15,"area":null},{"id":"2102.00036","title":"Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models","created":"2021-01-29","cited_by_count":12,"area":null},{"id":"2104.04375","title":"Model LineUpper: Supporting Interactive Model Comparison at Multiple Levels for AutoML","created":"2021-04-09","cited_by_count":12,"area":null},{"id":"2110.13252","title":"VAC-CNN: A Visual Analytics System for Comparative Studies of Deep Convolutional Neural Networks","created":"2021-10-25","cited_by_count":11,"area":null},{"id":"2311.02807","title":"QualEval: Qualitative Evaluation for Model Improvement","created":"2023-11-06","cited_by_count":11,"area":null},{"id":"2201.07849","title":"Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework","created":"2022-01-19","cited_by_count":10,"area":null},{"id":"2405.03649","title":"Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation","created":"2024-05-06","cited_by_count":10,"area":null},{"id":"2112.00334","title":"VisRuler: Visual Analytics for Extracting Decision Rules from Bagged and Boosted Decision Trees","created":"2021-12-01","cited_by_count":8,"area":null},{"id":"2308.13837","title":"Class-constrained t-SNE: Combining Data Features and Class Probabilities","created":"2023-08-26","cited_by_count":8,"area":null},{"id":"2406.10742","title":"Spuriousness-Aware Meta-Learning for Learning Robust Classifiers","created":"2024-06-15","cited_by_count":7,"area":null},{"id":"2103.10229","title":"Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles","created":"2021-03-18","cited_by_count":6,"area":null},{"id":"2112.04934","title":"Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers","created":"2021-12-09","cited_by_count":6,"area":null},{"id":"2206.12540","title":"Visual Auditor: Interactive Visualization for Detection and Summarization of Model Biases","created":"2022-06-25","cited_by_count":6,"area":null},{"id":"2409.02882","title":"Benchmarking Spurious Bias in Few-Shot Image Classifiers","created":"2024-09-04","cited_by_count":6,"area":null},{"id":"2502.10526","title":"Tempo: Helping Data Scientists and Domain Experts Collaboratively Specify Predictive Modeling Tasks","created":"2025-02-14","cited_by_count":6,"area":null},{"id":"2106.06247","title":"FedNLP: An interpretable NLP System to Decode Federal Reserve Communications","created":"2021-06-11","cited_by_count":4,"area":null},{"id":"2203.04408","title":"iSEA: An Interactive Pipeline for Semantic Error Analysis of NLP Models","created":"2022-03-08","cited_by_count":3,"area":null},{"id":"2211.09859","title":"Data-Centric Debugging: mitigating model failures via targeted data collection","created":"2022-11-17","cited_by_count":3,"area":null},{"id":"2312.05464","title":"Identifying and Mitigating Model Failures through Few-shot CLIP-aided Diffusion Generation","created":"2023-12-09","cited_by_count":3,"area":null},{"id":"2101.11970","title":"AHMoSe: A Knowledge-Based Visual Support System for Selecting Regression Machine Learning Models","created":"2021-01-28","cited_by_count":2,"area":null},{"id":"2204.00694","title":"Testing Feedforward Neural Networks Training Programs","created":"2022-04-01","cited_by_count":2,"area":null},{"id":"2303.09657","title":"ESCAPE: Countering Systematic Errors from Machine's Blind Spots via Interactive Visual Analysis","created":"2023-03-16","cited_by_count":2,"area":null},{"id":"2308.00710","title":"Towards the Visualization of Aggregated Class Activation Maps to Analyse the Global Contribution of Class Features","created":"2023-07-29","cited_by_count":2,"area":null},{"id":"2201.06444","title":"Black-box Error Diagnosis in Deep Neural Networks for Computer Vision: a Survey of Tools","created":"2022-01-17","cited_by_count":1,"area":null},{"id":"2206.07918","title":"\"Understanding Robustness Lottery\": A Geometric Visual Comparative Analysis of Neural Network Pruning Approaches","created":"2022-06-16","cited_by_count":1,"area":null},{"id":"2212.09032","title":"AutoSlicer: Scalable Automated Data Slicing for ML Model Analysis","created":"2022-12-18","cited_by_count":1,"area":null},{"id":"2308.14622","title":"TRIVEA: Transparent Ranking Interpretation using Visual Explanation of Black-Box Algorithmic Rankers","created":"2023-08-28","cited_by_count":1,"area":null},{"id":"2101.10502","title":"Model-agnostic interpretation by visualization of feature perturbations","created":"2021-01-26","cited_by_count":0,"area":null},{"id":"2103.11441","title":"TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing","created":"2021-03-21","cited_by_count":0,"area":null},{"id":"2204.08136","title":"Trinary Tools for Continuously Valued Binary Classifiers","created":"2022-04-18","cited_by_count":0,"area":null},{"id":"2302.08980","title":"Model Doctor for Diagnosing and Treating Segmentation Error","created":"2023-02-17","cited_by_count":0,"area":null},{"id":"2304.04354","title":"ViT-Calibrator: Decision Stream Calibration for Vision Transformer","created":"2023-04-10","cited_by_count":0,"area":null},{"id":"2308.05640","title":"A Comparative Visual Analytics Framework for Evaluating Evolutionary Processes in Multi-objective Optimization","created":"2023-08-10","cited_by_count":0,"area":null},{"id":"2401.02630","title":"Model-Agnostic Interpretation Framework in Machine Learning: A Comparative Study in NBA Sports","created":"2024-01-05","cited_by_count":0,"area":null},{"id":"2404.14575","title":"Designing forecasting software for forecast users: Empowering non-experts to create and understand their own forecasts","created":"2024-04-22","cited_by_count":0,"area":null},{"id":"2501.02857","title":"ParetoLens: A Visual Analytics Framework for Exploring Solution Sets of Multi-objective Evolutionary Algorithms","created":"2025-01-06","cited_by_count":0,"area":null},{"id":"2509.26562","title":"DeepProv: Behavioral Characterization and Repair of Neural Networks via Inference Provenance Graph Analysis","created":"2025-09-30","cited_by_count":0,"area":null}],"next_cursor":null}