Concise loads and stores: The case for an asymmetric compute-memory architecture for approximation. - Animesh Jain; Parker Hill; Shih-Chieh Lin; Muneeb Khan; Md. Enamul Haque; Michael A. Laurenzano; Scott A. Mahlke; Lingjia Tang; Jason Mars (MICRO, 2016)

Input responsiveness: using canary inputs to dynamically steer approximation. - Michael A. Laurenzano; Parker Hill; Mehrzad Samadi; Scott A. Mahlke; Jason Mars; Lingjia Tang (PLDI, 2016)

DeftNN: addressing bottlenecks for DNN execution on GPUs via synapse vector elimination and near-compute data fission. - Parker Hill; Animesh Jain; Mason Hill; Babak Zamirai; Chang-Hong Hsu; Michael A. Laurenzano; Scott A. Mahlke; Lingjia Tang; Jason Mars (MICRO, 2017)

Rethinking Numerical Representations for Deep Neural Networks. - Parker Hill; Babak Zamirai; Shengshuo Lu; Yu-Wei Chao; Michael Laurenzano; Mehrzad Samadi; Marios C. Papaefthymiou; Scott A. Mahlke; Thomas F. Wenisch; Jia Deng 001; Lingjia Tang; Jason Mars (CoRR, 2018)

Bridging the Scalability Gap by Exploiting Error Tolerance for Emerging Applications. - Parker Hill (2018)

An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction. - Stefan Larson; Anish Mahendran; Joseph J. Peper; Christopher Clarke; Andrew Lee 001; Parker Hill; Jonathan K. Kummerfeld; Kevin Leach; Michael A. Laurenzano; Lingjia Tang; Jason Mars (EMNLP/IJCNLP (1), 2019)

Outlier Detection for Improved Data Quality and Diversity in Dialog Systems. - Stefan Larson; Anish Mahendran; Andrew Lee 001; Jonathan K. Kummerfeld; Parker Hill; Michael A. Laurenzano; Johann Hauswald; Lingjia Tang; Jason Mars (NAACL-HLT (1), 2019)