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Proof: Accelerating Approximate Aggregation Queries with Expensive Predicates


Jul 27, 2021
Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, Yi Sun, Matei Zaharia


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Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics


Jul 25, 2020
Daniel Kang, Ankit Mathur, Teja Veeramacheneni, Peter Bailis, Matei Zaharia


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Improved Natural Language Generation via Loss Truncation


May 01, 2020
Daniel Kang, Tatsunori Hashimoto

* ACL 2020 Camera Ready Submission 

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Model Assertions for Monitoring and Improving ML Models


Mar 11, 2020
Daniel Kang, Deepti Raghavan, Peter Bailis, Matei Zaharia

* MLSys 2020 

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MLPerf Training Benchmark


Oct 30, 2019
Peter Mattson, Christine Cheng, Cody Coleman, Greg Diamos, Paulius Micikevicius, David Patterson, Hanlin Tang, Gu-Yeon Wei, Peter Bailis, Victor Bittorf, David Brooks, Dehao Chen, Debojyoti Dutta, Udit Gupta, Kim Hazelwood, Andrew Hock, Xinyuan Huang, Bill Jia, Daniel Kang, David Kanter, Naveen Kumar, Jeffery Liao, Guokai Ma, Deepak Narayanan, Tayo Oguntebi, Gennady Pekhimenko, Lillian Pentecost, Vijay Janapa Reddi, Taylor Robie, Tom St. John, Carole-Jean Wu, Lingjie Xu, Cliff Young, Matei Zaharia


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Testing Robustness Against Unforeseen Adversaries


Aug 21, 2019
Daniel Kang, Yi Sun, Dan Hendrycks, Tom Brown, Jacob Steinhardt


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Willump: A Statistically-Aware End-to-end Optimizer for Machine Learning Inference


Jun 03, 2019
Peter Kraft, Daniel Kang, Deepak Narayanan, Shoumik Palkar, Peter Bailis, Matei Zaharia


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Transfer of Adversarial Robustness Between Perturbation Types


May 03, 2019
Daniel Kang, Yi Sun, Tom Brown, Dan Hendrycks, Jacob Steinhardt

* 11 pages, 6 figures 

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Network Offloading Policies for Cloud Robotics: a Learning-based Approach


Feb 15, 2019
Sandeep Chinchali, Apoorva Sharma, James Harrison, Amine Elhafsi, Daniel Kang, Evgenya Pergament, Eyal Cidon, Sachin Katti, Marco Pavone


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LIT: Block-wise Intermediate Representation Training for Model Compression


Oct 02, 2018
Animesh Koratana, Daniel Kang, Peter Bailis, Matei Zaharia


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Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark


Jun 04, 2018
Cody Coleman, Daniel Kang, Deepak Narayanan, Luigi Nardi, Tian Zhao, Jian Zhang, Peter Bailis, Kunle Olukotun, Chris Re, Matei Zaharia


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NoScope: Optimizing Neural Network Queries over Video at Scale


Aug 08, 2017
Daniel Kang, John Emmons, Firas Abuzaid, Peter Bailis, Matei Zaharia

* PVLDB 2017 

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