| 1 | -- | 6 | Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin, John Paparrizos, Zechao Shang, Adam Dziedzic, Rui Liu 0002. Artificial Intelligence in Resource-Constrained and Shared Environments |
| 7 | -- | 13 | Ken Birman, Bharath Hariharan, Christopher De Sa. Cloud-Hosted Intelligence for Real-time IoT Applications |
| 14 | -- | 25 | Cody Coleman, Daniel Kang, Deepak Narayanan, Luigi Nardi, Tian Zhao, Jian Zhang, Peter Bailis, Kunle Olukotun, Christopher Ré, Matei Zaharia. Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark |
| 26 | -- | 33 | Eunji Jeong, Sungwoo Cho, Gyeong-In Yu, Joo Seong Jeong, Dongjin Shin, Taebum Kim, Byung-Gon Chun. Speculative Symbolic Graph Execution of Imperative Deep Learning Programs |
| 34 | -- | 39 | Yu Gan 0002, Yanqi Zhang, Kelvin Hu, Dailun Cheng, Yuan He, Meghna Pancholi, Christina Delimitrou. Leveraging Deep Learning to Improve Performance Predictability in Cloud Microservices with Seer |
| 40 | -- | 45 | Yiying Zhang, Yutong Huang. "Learned": Operating Systems |
| 46 | -- | 51 | David Vengerov, Sesh Jalagam. A Machine Learning Approach to Recommending Files in a Collaborative Work Environment |
| 52 | -- | 58 | Luo Mai, Alexandros Koliousis, Guo Li, Andrei-Octavian Brabete, Peter R. Pietzuch. Taming Hyper-parameters in Deep Learning Systems |
| 59 | -- | 67 | Kexin Pei, Shiqi Wang, Yuchi Tian, Justin Whitehouse, Carl Vondrick, Yinzhi Cao, Baishakhi Ray, Suman Jana, Junfeng Yang. Bringing Engineering Rigor to Deep Learning |
| 68 | -- | 74 | Chieh-Jan Mike Liang, Hui Xue, Mao Yang, Lidong Zhou. The Case for Learning-and-System Co-design |
| 75 | -- | 84 | Mathias Lècuyer, Riley Spahn, Kiran Vodrahalli, Roxana Geambasu, Daniel Hsu 0001. Privacy Accounting and Quality Control in the Sage Differentially Private ML Platform |
| 85 | -- | 90 | Yifan Du, Valérie Issarny, Françoise Sailhan. When the Power of the Crowd Meets the Intelligence of the Middleware: The Mobile Phone Sensing Case |