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HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions


Sep 18, 2022
Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Christopher Ré, Matei Zaharia, James Zou

* Preprint, to appear in NeurIPS 2022 

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Estimating and Explaining Model Performance When Both Covariates and Labels Shift


Sep 18, 2022
Lingjiao Chen, Matei Zaharia, James Zou

* Accepted to NeurIPS 2022 

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PLAID: An Efficient Engine for Late Interaction Retrieval


May 19, 2022
Keshav Santhanam, Omar Khattab, Christopher Potts, Matei Zaharia

* Preprint. Omar and Keshav contributed equally to this work 

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ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction


Dec 16, 2021
Keshav Santhanam, Omar Khattab, Jon Saad-Falcon, Christopher Potts, Matei Zaharia

* Preprint. Omar and Keshav contributed equally to this work 

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What can Data-Centric AI Learn from Data and ML Engineering?


Dec 13, 2021
Neoklis Polyzotis, Matei Zaharia


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Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression


Nov 19, 2021
Yuezhou Sun, Wenlong Zhao, Lijun Zhang, Xiao Liu, Hui Guan, Matei Zaharia


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DistIR: An Intermediate Representation and Simulator for Efficient Neural Network Distribution


Nov 09, 2021
Keshav Santhanam, Siddharth Krishna, Ryota Tomioka, Tim Harris, Matei Zaharia


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Hindsight: Posterior-guided training of retrievers for improved open-ended generation


Oct 21, 2021
Ashwin Paranjape, Omar Khattab, Christopher Potts, Matei Zaharia, Christopher D. Manning


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