| MisVis: Explaining Web Misinformation Connections via Visual Summary | 0 | 0.34 | 2022 |
| NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks | 0 | 0.34 | 2022 |
| Skeletonvis: Interactive Visualization For Understanding Adversarial Attacks On Human Action Recognition Models | 0 | 0.34 | 2021 |
| RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization. | 0 | 0.34 | 2021 |
| Cnn Explainer: Learning Convolutional Neural Networks With Interactive Visualization | 2 | 0.36 | 2021 |
| Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers | 0 | 0.34 | 2020 |
| Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning | 2 | 0.37 | 2020 |
| Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks | 0 | 0.34 | 2020 |
| CNN 101: Interactive Visual Learning for Convolutional Neural Networks | 1 | 0.35 | 2020 |
| RECAST - Interactive Auditing of Automatic Toxicity Detection Models. | 0 | 0.34 | 2020 |
| Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations | 12 | 0.46 | 2019 |
| NeuralDivergence: Exploring and Understanding Neural Networks by Comparing Activation Distributions. | 0 | 0.34 | 2019 |
| UniWalk: Explainable and Accurate Recommendation for Rating and Network Data. | 1 | 0.35 | 2017 |
