Selected papers

Kang, Daniel, Nikos Arechiga, Sudeep Pillai, Peter Bailis, and Matei Zaharia. “Finding Label and Model Errors in Perception Data With Learned Observation Assertions”, SIGMOD ’22: Proceedings of the 2022 International Conference on Management of Data, 496–505. https://doi.org/10.1145/3514221.3517907.

Coleman, Cody, Daniel Kang, Deepak Narayanan, Luigi Nardi, Tian Zhao, Jian Zhang, Peter Bailis, Kunle Olukotun, Chris Ré, and Matei Zaharia. “Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark”, ACM SIGOPS Operating Systems Review, 53, no. 1 (July 25, 2019): 14–25. https://doi.org/10.1145/3352020.3352024.

Bach, Stephen, Daniel Rodriguez, Yintao Liu, Chong Luo, Haidong Shao, Cassandra Xia, Souvik Sen, Alexander Ratner, Braden Hancock, Houman Alborzi, Rahul Kuchhal, Christopher Ré, and Rob Malkin. “Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale”, SIGMOD ’19: Proceedings of the 2019 International Conference on Management of Data, 362–375. https://doi.org/10.1145/3299869.3314036.

Nardi, Luigi, David Koeplinger, and Kunle Olukotun. “Practical Design Space Exploration”, 2019 IEEE 27th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS), 347–358. https://doi.org/10.1109/MASCOTS.2019.00045.

Ratner, Alex, Braden Hancock, Jared Dunnmon, Roger Goldman, and Christopher Ré. “Snorkel MeTaL: Weak Supervision for Multi-Task Learning”, Proceedings of the Second Workshop on Data Management for End-To-End Machine Learning, 1–4. https://doi.org/10.1145/3209889.3209898.

Koeplinger, David, Matthew Feldman, Raghu Prabhakar, Yaqi Zhang, Stefan Hadjis, Ruben Fiszel, Tian Zhao, Luigi Nardi, Ardavan Pedram, Christos Kozyrakis, and Kunle Olukotun. “Spatial: A Language and Compiler for Application Accelerators”, PLDI 2018: Proceedings of the 39th ACM SIGPLAN Conference on Programming Language Design and Implementation, 296–311. https://doi.org/10.1145/3192366.3192379.

Palkar, Shoumik, James Thomas, Deepak Narayanan, Pratiksha Thaker, Rahul Palamuttam, Parimajan Negi, Anil Shanbhag, Malte Schwarzkopf, Holger Pirk, Saman Amarasinghe, Samuel Madden, and Matei Zaharia. “Evaluating End-to-End Optimization for Data Analytics Applications in Weld”, Proceedings of the VLDB Endowment, 11, no. 9 (May 1, 2018): 1002–1015. https://doi.org/10.14778/3213880.3213890.

Ratner, Alexander, Stephen Bach, Henry Ehrenberg, Jason Fries, Sen Wu, and Christopher Ré. “Snorkel: Rapid Training Data Creation With Weak Supervision”, Proceedings of the VLDB Endowment, 11, no. 3 (November 1, 2017): 269–282. https://doi.org/10.14778/3157794.3157797.

Kang, Daniel, John Emmons, Firas Abuzaid, Peter Bailis, and Matei Zaharia. “NoScope: Optimizing Neural Network Queries over Video at Scale”, Proceedings of the VLDB Endowment, 10, no. 11 (August 1, 2017): 1586–1597. https://doi.org/10.14778/3137628.3137664.

Bailis, Peter, Edward Gan, Kexin Rong, and Sahaana Suri. “Demonstration: MacroBase, A Fast Data Analysis Engine”, SIGMOD ’17: Proceedings of the 2017 ACM International Conference on Management of Data, 1699–1702. https://doi.org/10.1145/3035918.3056446.

Bailis, Peter, Edward Gan, Samuel Madden, Deepak Narayanan, Kexin Rong, and Sahaana Suri. “MacroBase: Prioritizing Attention in Fast Data”, SIGMOD ’17: Proceedings of the 2017 ACM International Conference on Management of Data, 541–556. https://doi.org/10.1145/3035918.3035928.

Ratner, Alexander, Stephen Bach, Henry Ehrenberg, and Christopher Ré. “Snorkel: Fast Training Set Generation for Information Extraction”, SIGMOD ’17: Proceedings of the 2017 ACM International Conference on Management of Data, 1683–1686. https://doi.org/10.1145/3035918.3056442.

Ratner, Alexander, Stephen Bach, Henry Ehrenberg, Jason Fries, Sen Wu, and Christopher Ré. “Snorkel: A System for Lightweight Extraction”, 8th Biennial Conference on Innovative Data Systems Research (CIDR ’17).

Palkar, Shoumik, James Thomas, Anil Shanbhag, Deepak Narayanan, Holger Pirk, Malte Schwarzkopf, Saman Amarasinghe, and Matei Zaharia. “Weld: A Common Runtime for High Performance Data Analytics”, 8th Biennial Conference on Innovative Data Systems Research (CIDR ’17).

Coleman, Cody, Deepak Narayanan, Daniel Kang, Tian Zhao, Jian Zhang, Luigi Nardi, Peter Bailis, Kunle Olukotun, Chris Ré, and Matei Zaharia. “DAWNBench: An End-to-End Deep Learning Benchmark and Competition”, 31st Conference on Neural Information Processing Systems (NIPS 2017).

Bailis, Peter, Edward Gan, Kexin Rong, and Sahaana Suri. “Prioritizing Attention in Fast Data: Principles and Promise”. 8th Biennial Conference on Innovative Data Systems Research (CIDR ’17), 2017.