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Publication DateArticle TitleAuthor(s)
16-Mar-2017ZNNi: Maximizing the Inference Throughput of 3D Convolutional Networks on CPUs and GPUsZlateski, A; Lee, K; Seung, H. Sebastian
Jun-2018Extractor-based time-space lower bounds for learningGarg, Sumegha; Raz, Ran; Tal, Avishay
2019Human uncertainty makes classification more robustPeterson, Joshua; Battleday, Ruairidh; Griffiths, Thomas; Russakovsky, Olga
Mar-2018The More You Look, the More You See: Towards General Object Understanding Through Recursive RefinementWang, Jingyan; Russakovsky, Olga; Ramanan, Deva
2017A Time-Space Lower Bound for a Large Class of Learning ProblemsRaz, Ran
Sep-2015ParkMaster: Leveraging Edge Computing in Visual AnalyticsGrassi, Giulio; Sammarco, Matteo; Bahl, Paramvir; Jamieson, Kyle; Pau, Giovanni
2014PanoContext: A Whole-Room 3D Context Model for Panoramic Scene UnderstandingZhang, Yinda; Song, Shuran; Tan, Ping; Xiao, Jianxiong
Nov-2011A survey of the practice of computational sciencePrabhu, Prakash; Jablin, Thomas B; Raman, Arun; Zhang, Yun; Huang, Jialu, et al
2017Exploring the walled garden theory: An empirical framework to assess pricing effects on mobile data usageChen, A; Feamster, Nick; Calandro, E
2020C floating-point proofs layered with VST and FlocqAppel, Andrew W; Bertot, Yves