The What-If Tool: Interactive Probing of Machine Learning Models. | 10 | 0.43 | 2020 |
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models | 0 | 0.34 | 2020 |
Automating Interpretability: Discovering and Testing Visual Concepts Learned by Neural Networks. | 0 | 0.34 | 2019 |
Towards Automatic Concept-based Explanations | 4 | 0.40 | 2019 |
Approachable Music Composition with Machine Learning at Scale. | 0 | 0.34 | 2019 |
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV). | 23 | 0.68 | 2018 |
Visualizing Dataflow Graphs of Deep Learning Models in TensorFlow. | 43 | 1.21 | 2018 |
ClinicalVis: Supporting Clinical Task-Focused Design Evaluation. | 0 | 0.34 | 2018 |
Scalable and accurate deep learning for electronic health records. | 0 | 0.34 | 2018 |