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AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels


Aug 30, 2022
Nicholas Roberts, Xintong Li, Tzu-Heng Huang, Dyah Adila, Spencer Schoenberg, Cheng-Yu Liu, Lauren Pick, Haotian Ma, Aws Albarghouthi, Frederic Sala


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Shoring Up the Foundations: Fusing Model Embeddings and Weak Supervision


Mar 24, 2022
Mayee F. Chen, Daniel Y. Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, Christopher Ré


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Generative Modeling Helps Weak Supervision (and Vice Versa)


Mar 22, 2022
Benedikt Boecking, Willie Neiswanger, Nicholas Roberts, Stefano Ermon, Frederic Sala, Artur Dubrawski


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Universalizing Weak Supervision


Dec 07, 2021
Changho Shin, Winfred Li, Harit Vishwakarma, Nicholas Roberts, Frederic Sala


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Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation


Mar 03, 2021
Mayee F. Chen, Benjamin Cohen-Wang, Stephen Mussmann, Frederic Sala, Christopher Ré

* To appear in AISTATS 2021 

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Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings


Jun 26, 2020
Mayee F. Chen, Daniel Y. Fu, Frederic Sala, Sen Wu, Ravi Teja Mullapudi, Fait Poms, Kayvon Fatahalian, Christopher Ré


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Low-Dimensional Hyperbolic Knowledge Graph Embeddings


May 01, 2020
Ines Chami, Adva Wolf, Da-Cheng Juan, Frederic Sala, Sujith Ravi, Christopher Ré


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Ivy: Instrumental Variable Synthesis for Causal Inference


Apr 11, 2020
Zhaobin Kuang, Frederic Sala, Nimit Sohoni, Sen Wu, Aldo Córdova-Palomera, Jared Dunnmon, James Priest, Christopher Ré


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Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods


Feb 27, 2020
Daniel Y. Fu, Mayee F. Chen, Frederic Sala, Sarah M. Hooper, Kayvon Fatahalian, Christopher Ré


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Multi-Resolution Weak Supervision for Sequential Data


Oct 21, 2019
Frederic Sala, Paroma Varma, Jason Fries, Daniel Y. Fu, Shiori Sagawa, Saelig Khattar, Ashwini Ramamoorthy, Ke Xiao, Kayvon Fatahalian, James Priest, Christopher Ré

* NeurIPS 2019 (Conference on Neural Information Processing Systems) 

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