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Hanna M. Wallach

University of Massachusetts Amherst
Microsoft

66

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REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research.

2022 CoRR
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Seven Things I Wish I’d Known About Derby

2019
- Hanna M. Wallach
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Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting

2019 arXiv: Information Retrieval
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Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need?

2019 CHI | Human Factors in Computing Systems
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Summarizing Topics: From Word Lists to Phrases

2019
- Lauren A. Hannah
- Hanna M. Wallach
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What's in a Name? Reducing Bias in Bios without Access to Protected Attributes.

2019 arXiv: Learning
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The Hyperedge Event Model

2019 arXiv: Methodology
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Big Data, Machine Learning, and the Social Sciences: Fairness, Accountability, and Transparency

2019
- Hanna M. Wallach
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Combining Sentiment Lexica with a Multi-View Variational Autoencoder.

2019 arXiv: Computation and Language
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Computational Social Science: Computer-Supported Cooperative Work in the Social Media Era

2019
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