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Mike Wu

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Viewmaker Networks: Learning Views for Unsupervised Representation Learning

Alex Tamkin,Mike Wu,Noah Goodman

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Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference

Mike H Wu, Milan Mosse,Noah Goodman,Chris Piech

national conference on artificial intelligence, (2019)

Cited by13EIBibtex

Beyond Sparsity: Tree Regularization of Deep Models for Interpretability

Mike Wu,Michael C. Hughes, Sonali Parbhoo, Maurizio Zazzi,Volker Roth,Finale Doshi-Velez

national conference on artificial intelligence, (2018)

Cited by78EIBibtex

Multimodal Generative Models for Scalable Weakly-Supervised Learning

Mike Wu,Noah Goodman

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), (2018): 5575-5585

Cited by40EIBibtex

Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference

Mike Wu,Noah Goodman,Stefano Ermon

international conference on artificial intelligence and statistics, (2018)

Cited by8EIBibtex

Understanding vasopressor intervention and weaning: risk prediction in a public heterogeneous clinical time series database

Mike Wu,Marzyeh Ghassemi,Mengling Feng,Leo A. Celi,Peter Szolovits,Finale Doshi-Velez

JAMIA, no. 3 (2017): 488-495

Cited by32EIWOSBibtex

Predicting intervention onset in the ICU with switching state space models

Marzyeh Ghassemi,Mike Wu,Michael C Hughes,Peter Szolovits,Finale Doshi-Velez

CRI, (2017): 82-91

Cited by31WOSEIBibtex

PRIMECLIMB: DESIGNING TO FACILITATE MEDIATED COLLABORATIVE INQUIRY

J. DAI,M. WU,J. COHEN,M. KLAWE

CSCL, (2003)

Cited by3EIBibtex

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