PAISE 2020
Workshop Program
As one of the panelists last year excellently noted, the goal of the workshop
is to foster a discussion around somewhat open problems; not presentations on
definitive and narrow improvements over existing solutions. After considering
all options, unfortunately, we do not see a good way to accomplish this vibrant
discussion virtually, across time-zones. PAISE 2020 is hence non-interactive.
However, here are the papers selected for this year's workshop, along with the
presentation files and videos.
Accepted Papers
Paper 1: Analyzing Deep Learning Model Inferences for Image Classification using OpenVINO. (Slides) (Presentation) Zheming Jin, and Hal Finkel.
Paper 2: Multiperspective Automotive Labeling.(Slides) (Presentation) Luke Jacobs, Akhil Kodumuri, Jim James, Seongha Park and Yongho Kim.
Paper 3: Integrating DOTS With Blockchain Can Secure Massive IoT Sensors.(Slides) (Presentation) Syed Badruddoja, Ram Dantu, Logan Widick, Zachary Zaccagni and Kritagya Upadhyay.
Paper 4: Indirect Deconvolution Algorithm.(Slides) (Presentation) Marat Dukhan.
Paper 5: Energy-Efficient Machine Learning on the Edges.(Slides) (Presentation) Mohit Kumar, Xingzhou Zhang, Liangkai Liu, Yifan Wang and Weisong Shi.
Workshop Organizers