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Parker Hill
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2010 – 2019
- 2019
- [c5]Stefan Larson, Anish Mahendran, Joseph J. Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K. Kummerfeld
, Kevin Leach, Michael A. Laurenzano, Lingjia Tang, Jason Mars:
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction. EMNLP/IJCNLP (1) 2019: 1311-1316 - [c4]Stefan Larson, Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld
, Parker Hill, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars:
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems. NAACL-HLT (1) 2019: 517-527 - [i3]Stefan Larson, Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld, Parker Hill, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars:
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems. CoRR abs/1904.03122 (2019) - [i2]Stefan Larson, Anish Mahendran, Joseph J. Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K. Kummerfeld, Kevin Leach, Michael A. Laurenzano, Lingjia Tang, Jason Mars:
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction. CoRR abs/1909.02027 (2019) - 2018
- [b1]Parker Hill:
Bridging the Scalability Gap by Exploiting Error Tolerance for Emerging Applications. University of Michigan, USA, 2018 - [i1]Parker Hill, Babak Zamirai, Shengshuo Lu, Yu-Wei Chao, Michael Laurenzano, Mehrzad Samadi, Marios C. Papaefthymiou, Scott A. Mahlke, Thomas F. Wenisch, Jia Deng, Lingjia Tang, Jason Mars:
Rethinking Numerical Representations for Deep Neural Networks. CoRR abs/1808.02513 (2018) - 2017
- [c3]Parker Hill, Animesh Jain, Mason Hill, Babak Zamirai, Chang-Hong Hsu, Michael A. Laurenzano, Scott A. Mahlke, Lingjia Tang, Jason Mars:
DeftNN: addressing bottlenecks for DNN execution on GPUs via synapse vector elimination and near-compute data fission. MICRO 2017: 786-799 - 2016
- [c2]Animesh Jain, Parker Hill, Shih-Chieh Lin, Muneeb Khan, Md. Enamul Haque
, Michael A. Laurenzano, Scott A. Mahlke, Lingjia Tang, Jason Mars:
Concise loads and stores: The case for an asymmetric compute-memory architecture for approximation. MICRO 2016: 41:1-41:13 - [c1]Michael A. Laurenzano, Parker Hill, Mehrzad Samadi, Scott A. Mahlke, Jason Mars, Lingjia Tang:
Input responsiveness: using canary inputs to dynamically steer approximation. PLDI 2016: 161-176
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