| An evaluation dataset for intent classification and out-of-scope prediction S Larson, A Mahendran, JJ Peper, C Clarke, A Lee, P Hill, JK Kummerfeld, ... arXiv preprint arXiv:1909.02027, 2019 | 453 | 2019 |
| Input responsiveness: using canary inputs to dynamically steer approximation MA Laurenzano, P Hill, M Samadi, S Mahlke, J Mars, L Tang Proceedings of the 37th ACM SIGPLAN Conference on Programming Language …, 2016 | 97 | 2016 |
| Deftnn: Addressing bottlenecks for dnn execution on gpus via synapse vector elimination and near-compute data fission P Hill, A Jain, M Hill, B Zamirai, CH Hsu, MA Laurenzano, S Mahlke, ... Proceedings of the 50th Annual IEEE/ACM International Symposium on …, 2017 | 80 | 2017 |
| Concise loads and stores: The case for an asymmetric compute-memory architecture for approximation A Jain, P Hill, SC Lin, M Khan, ME Haque, MA Laurenzano, S Mahlke, ... 2016 49th Annual IEEE/ACM International Symposium on Microarchitecture …, 2016 | 62 | 2016 |
| 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 | 44 | 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 | 37 | 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 |
| 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 | 15 | 2020 |
| 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 | 12 | 2021 |
| Wetlands and water quality management in the Eastern Interior Coal Basin. WJ Mitsch, MA Cardamone, JR Taylor, PLJ Hill | 11 | 1985 |
| Rethinking numerical representations for deep neural networks P Hill, B Zamirai, S Lu, YW Chao, M Laurenzano, M Samadi, ... arXiv preprint arXiv:1808.02513, 2018 | 10 | 2018 |
| 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 | 8 | 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 |
| Community ecology of three wetland ecosystems impacted by acid mine drainage. RW Bosserman, PLJ Hill | 7 | 1985 |
| 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 |
| 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 |
| Systems and methods for intelligently configuring and deploying a machine learning-based dialogue system J Mars, L Tang, MA Laurenzano, J Hauswald, P Hill, Y Kang, Y Zhang US Patent 10,769,384, 2020 | 3 | 2020 |
| Cpsa: Compute precisely store approximately A Jain, P Hill, MA Laurenzano, ME Haque, M Khan, S Mahlke, L Tang, ... Workshop on Approximate Computing Across the Stack, 2016 | 3 | 2016 |
| 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 11,481,597, 2022 | 2 | 2022 |
| 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 App. 17/009,695, 2021 | 2 | 2021 |
