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 | 1321 | 2017 |
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 | 337 | 2015 |
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 | 199 | 2015 |
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 | 69 | 2014 |
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 | 46 | 2019 |
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 | 38 | 2020 |
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 | 35 | 2018 |
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 | 32 | 2016 |
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 | 23 | 2022 |
Systems and method for automatically configuring machine learning models J Mars, L Tang, M Laurenzano, J Hauswald US Patent 10,296,848, 2019 | 20 | 2019 |
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 | 17 | 2020 |
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 | 16 | 2019 |
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 | 15 | 2021 |
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 | 13 | 2021 |
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 | 10 | 2020 |
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 | 7 | 2021 |
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 | 6 | 2020 |
Zelda: Video analytics using vision-language models F Romero, C Winston, J Hauswald, M Zaharia, C Kozyrakis arXiv preprint arXiv:2305.03785, 2023 | 5 | 2023 |
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 | 5 | 2016 |
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 | 4 | 2020 |