Daniel Kang
Daniel Kang
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NoScope: Optimizing Neural Network Queries over Video at Scale
D Kang, J Emmons, F Abuzaid, P Bailis, M Zaharia
Proceedings of the VLDB Endowment 10 (11), 1586-1597, 2017
DAWNBench: An End-to-End Deep Learning Benchmark and Competition
C Coleman, D Narayanan, D Kang, T Zhao, J Zhang, L Nardi, P Bailis, ...
NIPS ML Systems Workshop, 2017
MLPerf Training Benchmark
P Mattson, C Cheng, C Coleman, G Diamos, P Micikevicius, D Patterson, ...
arXiv preprint arXiv:1910.01500, 2019
BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-based Video Analytics
D Kang, P Bailis, M Zaharia
PVLDB 13 (4), 2019
Testing Robustness Against Unforeseen Adversaries
D Kang, Y Sun, D Hendrycks, T Brown, J Steinhardt
arXiv preprint arXiv:1908.08016, 2019
Analysis of dawnbench, a time-to-accuracy machine learning performance benchmark
C Coleman, D Kang, D Narayanan, L Nardi, T Zhao, J Zhang, P Bailis, ...
ACM SIGOPS Operating Systems Review 53 (1), 14-25, 2019
Network Offloading Policies for Cloud Robotics: a Learning-based Approach
S Chinchali, A Sharma, J Harrison, A Elhafsi, D Kang, E Pergament, ...
arXiv preprint arXiv:1902.05703, 2019
Model Assertions for Monitoring and Improving ML Models
D Kang, D Raghavan, P Bailis, M Zaharia
MLSys, 2020
LIT: Learned Intermediate Representation Training for Model Compression
A Koratana, D Kang, P Bailis, M Zaharia
International Conference on Machine Learning, 3509-3518, 2019
Improved Natural Language Generation via Loss Truncation
D Kang, T Hashimoto
ACL, 2020
GERV: a statistical method for generative evaluation of regulatory variants for transcription factor binding
H Zeng, T Hashimoto, DD Kang, DK Gifford
Bioinformatics 32 (4), 490-496, 2016
Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics
D Kang, A Mathur, T Veeramacheneni, P Bailis, M Zaharia
arXiv preprint arXiv:2007.13005, 2020
Willump: A Statistically-Aware End-to-end Optimizer for Machine Learning Inference
P Kraft, D Kang, D Narayanan, S Palkar, P Bailis, M Zaharia
MLSys, 2020
A synergistic DNA logic predicts genome-wide chromatin accessibility
T Hashimoto, RI Sherwood, DD Kang, N Rajagopal, AA Barkal, H Zeng, ...
Genome research 26 (10), 1430-1440, 2016
TASTI: Semantic Indexes for Machine Learning-based Queries over Unstructured Data
D Kang, J Guibas, PD Bailis, T Hashimoto, M Zaharia
Proceedings of the 2022 International Conference on Management of Data, 1934 …, 2022
Selection of transform size in video coding
RS Bultje, D Kang
US Patent 9,219,915, 2015
Approximate Selection with Guarantees using Proxies
D Kang, E Gan, P Bailis, T Hashimoto, M Zaharia
PVLDB, 2020
Finding label and model errors in perception data with learned observation assertions
D Kang, N Arechiga, S Pillai, PD Bailis, M Zaharia
Proceedings of the 2022 International Conference on Management of Data, 496-505, 2022
VIVA: An End-to-End System for Interactive Video Analytics
D Kang, F Romero, P Bailis, C Kozyrakis, M Zaharia
CIDR, 2022
Accelerating Approximate Aggregation Queries with Expensive Predicates
D Kang, J Guibas, P Bailis, T Hashimoto, Y Sun, M Zaharia
arXiv preprint arXiv:2108.06313, 2021
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