Research Publications

Browse publications based on research funded by Stanford HAI.

Explore Publications

International Conference on Learning Representations
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January, 2022

Autonomous Reinforcement Learning: Formalism and Benchmarking

  • Archit Sharma, Kelvin Xu, Nikhil Sardana, Abhishek Gupta, Karol Hausman, Sergey Levine, Chelsea Finn
arXiv
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April, 2022

Can Foundation Models Help Us Achieve Perfect Secrecy?

  • Simran Arora, Christopher Ré
Journal of Medical Internet Research
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April, 2022

Classifying Autism from Crowdsourced Semi-Structured Speech Recordings: A Machine

  • Nathan Chi, Peter Washington, Aaron Kline, Arman Husic, Cathy Hou, Chloe He, Kaitlyn Dunlap, Dennis Wall
PNAS
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July, 2022

Computational Analysis of 140 Years of U.S. Political Speeches Reveals More Positive but Increasingly Polarized Framing of Immigration

  • Dallas Card, Serina Chang, Chris Becker, Julia Mendelsohn, Rob Voigt, Leah Boustan, Ran Abramitzky, Dan Juarafsky
NEJM Catalyst
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March, 2022

Designing Accountable Health Care Algorithms: Lessons from Covid-19 Contact Tracing

  • Lisa Lu, Alexis D’Agostino, Sarah L. Rudman, Derek Ouyang, Daniel E. Ho
PLOS ONE
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January, 2022

Diversifying History: A Large-Scale Analysis of Changes in Researcher Demographics and Scholarly Agendas

  • Stephan Risi, Mathias W. Nielsen, Emma Kerr, Emer Brady, Lanu Kim, Daniel A. McFarland, Dan Jurafsky, James Zou, Londa Schiebinger
arXiv
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September, 2022

Domain Adaptive 3D Pose Augmentation for In-the-wild Human Mesh Recovery

  • Zhenzhen Weng, Kuan-Chieh Wang, Angjoo Kanazawa, Serena Yeung
arXiv
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January, 2022

Domino: Discovering Systematic Errors with Cross-Modal Embeddings

  • Sabri Eyuboglu, Maya Varma, Khaled Saab, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Zou, Christopher Re
International Conference on Learning Representations
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January, 2022

Efficiently Modeling Long Sequences with Structured State Spaces

  • Albert Gu, Karan Goel, Christopher Re
International Conference on Learning Representations
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April, 2022

Extending the WILDS Benchmark for Unsupervised Adaptation

  • Shiori Sagawa, Pang Wei Koh, Tony Lee, Irena Gao, Sang Michael Xie, Kendrick Shen, Ananya Kumar, Weihua Hu, Michihiro Yasunaga, Henrik Marklund, Sara Beery, Etienne David, Ian Stavness, Wei Guo, Jure Leskovec, Kate Saenko, Tatsunori Hashimoto, Sergey Lev
NeurIPS
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December, 2022

FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

  • Tri Dao, Daniel Y. Fu, Stefano Ermon, Atri Rudra, Christopher Ré

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