James Wexler

According to our database1, James Wexler authored at least 13 papers between 2018 and 2021.

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Bibliography

2021
Analyzing a Caching Model.
CoRR, 2021

Best of both worlds: local and global explanations with human-understandable concepts.
CoRR, 2021

2020
The What-If Tool: Interactive Probing of Machine Learning Models.
IEEE Trans. Vis. Comput. Graph., 2020

Probing ML models for fairness with the what-if tool and SHAP: hands-on tutorial.
Proceedings of the FAT* '20: Conference on Fairness, 2020

The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

2019
The Bach Doodle: Approachable music composition with machine learning at scale.
CoRR, 2019

Automating Interpretability: Discovering and Testing Visual Concepts Learned by Neural Networks.
CoRR, 2019

Towards Automatic Concept-based Explanations.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Approachable Music Composition with Machine Learning at Scale.
Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

2018
Visualizing Dataflow Graphs of Deep Learning Models in TensorFlow.
IEEE Trans. Vis. Comput. Graph., 2018

ClinicalVis: Supporting Clinical Task-Focused Design Evaluation.
CoRR, 2018

Scalable and accurate deep learning for electronic health records.
CoRR, 2018

Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV).
Proceedings of the 35th International Conference on Machine Learning, 2018


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