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08/09/2023
A Unified Interactive Model Evaluation for Classification, Object Detection, and Instance Segmentation in Computer Vision
Existing model evaluation tools mainly focus on evaluating classificatio...
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08/07/2023
Cluster-Aware Grid Layout
Grid visualizations are widely used in many applications to visually exp...
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07/15/2023
Visual Analytics For Machine Learning: A Data Perspective Survey
The past decade has witnessed a plethora of works that leverage the powe...
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08/20/2022
Visual Analysis of Neural Architecture Spaces for Summarizing Design Principles
Recent advances in artificial intelligence largely benefit from better n...
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06/19/2022
A Unified Understanding of Deep NLP Models for Text Classification
The rapid development of deep natural language processing (NLP) models f...
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06/09/2022
Diagnosing Ensemble Few-Shot Classifiers
The base learners and labeled samples (shots) in an ensemble few-shot cl...
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01/24/2022
In Defence of Visual Analytics Systems: Replies to Critics
The last decade has witnessed many visual analytics (VA) systems that ma...
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10/06/2021
Revisiting Dimensionality Reduction Techniques for Visual Cluster Analysis: An Empirical Study
Dimensionality Reduction (DR) techniques can generate 2D projections and...
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08/06/2021
Real-Time Visual Analysis of High-Volume Social Media Posts
Breaking news and first-hand reports often trend on social media platfor...
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09/21/2020
Interactive Steering of Hierarchical Clustering
Hierarchical clustering is an important technique to organize big data f...
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08/21/2020
A Survey of Visual Analytics Techniques for Machine Learning
Visual analytics for machine learning has recently evolved as one of the...
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07/30/2020
Visual Analysis of Discrimination in Machine Learning
The growing use of automated decision-making in critical applications, s...
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07/29/2020
Evaluation of Sampling Methods for Scatterplots
Given a scatterplot with tens of thousands of points or even more, a nat...
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07/28/2020
Diagnosing Concept Drift with Visual Analytics
Concept drift is a phenomenon in which the distribution of a data stream...
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02/08/2020
OoDAnalyzer: Interactive Analysis of Out-of-Distribution Samples
One major cause of performance degradation in predictive models is that ...
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11/12/2018
Recent Research Advances on Interactive Machine Learning
Interactive Machine Learning (IML) is an iterative learning process that...
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10/09/2018
Analyzing the Noise Robustness of Deep Neural Networks
Deep neural networks (DNNs) are vulnerable to maliciously generated adve...
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04/07/2018
Visual Analytics for Explainable Deep Learning
Recently, deep learning has been advancing the state of the art in artif...
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02/23/2017
Scalable Inference for Nested Chinese Restaurant Process Topic Models
Nested Chinese Restaurant Process (nCRP) topic models are powerful nonpa...
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02/04/2017
Towards Better Analysis of Machine Learning Models: A Visual Analytics Perspective
Interactive model analysis, the process of understanding, diagnosing, an...
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04/24/2016
Towards Better Analysis of Deep Convolutional Neural Networks
Deep convolutional neural networks (CNNs) have achieved breakthrough per...
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02/19/2016
Scaling up Dynamic Topic Models
Dynamic topic models (DTMs) are very effective in discovering topics and...
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12/13/2015