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Johann Hauswald
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Neurosurgeon: Collaborative intelligence between the cloud and mobile edge
Y Kang, J Hauswald, C Gao, A Rovinski, T Mudge, J Mars, L Tang
ACM SIGARCH Computer Architecture News 45 (1), 615-629, 2017
12302017
Sirius: An open end-to-end voice and vision personal assistant and its implications for future warehouse scale computers
J Hauswald, MA Laurenzano, Y Zhang, C Li, A Rovinski, A Khurana, ...
Proceedings of the Twentieth International Conference on Architectural …, 2015
3312015
Djinn and tonic: Dnn as a service and its implications for future warehouse scale computers
J Hauswald, Y Kang, MA Laurenzano, Q Chen, C Li, T Mudge, ...
ACM SIGARCH Computer Architecture News 43 (3S), 27-40, 2015
1972015
A hybrid approach to offloading mobile image classification
J Hauswald, T Manville, Q Zheng, R Dreslinski, C Chakrabarti, T Mudge
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
662014
Outlier detection for improved data quality and diversity in dialog systems
S Larson, A Mahendran, A Lee, JK Kummerfeld, P Hill, MA Laurenzano, ...
arXiv preprint arXiv:1904.03122, 2019
442019
System and method for implementing an artificially intelligent virtual assistant using machine learning
J Mars, L Tang, M Laurenzano, J Hauswald, P Hill
US Patent 10,572,801, 2020
342020
Data collection for dialogue system: A startup perspective
Y Kang, Y Zhang, JK Kummerfeld, L Tang, J Mars
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
342018
Designing future warehouse-scale computers for sirius, an end-to-end voice and vision personal assistant
J Hauswald, MA Laurenzano, Y Zhang, H Yang, Y Kang, C Li, A Rovinski, ...
ACM Transactions on Computer Systems (TOCS) 34 (1), 1-32, 2016
312016
Optimizing Video Analytics with Declarative Model Relationships
F Romero, J Hauswald, A Partap, D Kang, M Zaharia, C Kozyrakis
Proceedings of the VLDB Endowment 16 (3), 447 - 460, 2022
192022
Systems and method for automatically configuring machine learning models
J Mars, L Tang, M Laurenzano, J Hauswald
US Patent 10,296,848, 2019
182019
Systems and methods for intelligently curating machine learning training data and improving machine learning model performance
Y Kang, Y Zhang, JK Kummerfeld, P Hill, J Hauswald, MA Laurenzano, ...
US Patent 10,303,978, 2019
162019
System and method for implementing an artificially intelligent virtual assistant using machine learning
J Mars, L Tang, M Laurenzano, J Hauswald
US Patent 11,010,656, 2021
142021
Systems and methods for intelligently configuring and deploying a control structure of a machine learning-based dialogue system
P Hill, J Mars, L Tang, MA Laurenzano, J Hauswald, Y Kang, Y Zhang
US Patent 10,936,936, 2021
122021
Systems and methods for machine learning-based multi-intent segmentation and classification
J Peper, P Hill, K Leach, S Stapleton, JK Kummerfeld, J Hauswald, ...
US Patent 10,824,818, 2020
112020
Systems and methods for intelligently curating machine learning training data and improving machine learning model performance
Y Kang, Y Zhang, JK Kummerfeld, P Hill, J Hauswald, MA Laurenzano, ...
US Patent 10,679,100, 2020
82020
System and method for implementing an artificially intelligent virtual assistant using machine learning
J Mars, L Tang, M Laurenzano, J Hauswald, P Hill
US Patent 11,042,800, 2021
72021
Systems and methods for automatically configuring training data for training machine learning models of a machine learning-based dialogue system including seeding training …
S Larson, A Mahendran, A Lee, JK Kummerfeld, P Hill, MA Laurenzano, ...
US Patent 10,679,150, 2020
62020
Sirius implications for future warehouse-scale computers
J Hauswald, MA Laurenzano, Y Zhang, C Li, A Rovinski, A Khurana, ...
IEEE Micro 36 (3), 42-53, 2016
52016
Systems and methods for constructing an artificially diverse corpus of training data samples for training a contextually-biased model for a machine learning-based dialogue system
A Lee, S Larson, C Clarke, K Leach, JK Kummerfeld, P Hill, J Hauswald, ...
US Patent 10,796,104, 2020
42020
Zelda: Video analytics using vision-language models
F Romero, C Winston, J Hauswald, M Zaharia, C Kozyrakis
arXiv preprint arXiv:2305.03785, 2023
32023
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