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Efficient Computation of Map-scale Continuous Mutual Information on Chip in Real Time


Oct 07, 2022
Keshav Gupta, Peter Zhi Xuan Li, Sertac Karaman, Vivienne Sze


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Gemino: Practical and Robust Neural Compression for Video Conferencing


Sep 22, 2022
Vibhaalakshmi Sivaraman, Pantea Karimi, Vedantha Venkatapathy, Mehrdad Khani, Sadjad Fouladi, Mohammad Alizadeh, Frédo Durand, Vivienne Sze

* 12 pages, 6 appendix 

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Developing a Series of AI Challenges for the United States Department of the Air Force


Jul 14, 2022
Vijay Gadepally, Gregory Angelides, Andrei Barbu, Andrew Bowne, Laura J. Brattain, Tamara Broderick, Armando Cabrera, Glenn Carl, Ronisha Carter, Miriam Cha, Emilie Cowen, Jesse Cummings, Bill Freeman, James Glass, Sam Goldberg, Mark Hamilton, Thomas Heldt, Kuan Wei Huang, Phillip Isola, Boris Katz, Jamie Koerner, Yen-Chen Lin, David Mayo, Kyle McAlpin, Taylor Perron, Jean Piou, Hrishikesh M. Rao, Hayley Reynolds, Kaira Samuel, Siddharth Samsi, Morgan Schmidt, Leslie Shing, Olga Simek, Brandon Swenson, Vivienne Sze, Jonathan Taylor, Paul Tylkin, Mark Veillette, Matthew L Weiss, Allan Wollaber, Sophia Yuditskaya, Jeremy Kepner


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Sparseloop: An Analytical Approach To Sparse Tensor Accelerator Modeling


May 12, 2022
Yannan Nellie Wu, Po-An Tsai, Angshuman Parashar, Vivienne Sze, Joel S. Emer


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Searching for Efficient Multi-Stage Vision Transformers


Sep 01, 2021
Yi-Lun Liao, Sertac Karaman, Vivienne Sze


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NetAdaptV2: Efficient Neural Architecture Search with Fast Super-Network Training and Architecture Optimization


Mar 31, 2021
Tien-Ju Yang, Yi-Lun Liao, Vivienne Sze

* Accepted by CVPR 2021 

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Depth Map Estimation of Dynamic Scenes Using Prior Depth Information


Feb 02, 2020
James Noraky, Vivienne Sze


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Design Considerations for Efficient Deep Neural Networks on Processing-in-Memory Accelerators


Dec 18, 2019
Tien-Ju Yang, Vivienne Sze

* Accepted by IEDM 2019 

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FSMI: Fast computation of Shannon Mutual Information for information-theoretic mapping


May 06, 2019
Zhengdong Zhang, Trevor Henderson, Sertac Karaman, Vivienne Sze


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SysML: The New Frontier of Machine Learning Systems


May 01, 2019
Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Jennifer Chayes, Eric Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim Hazelwood, Furong Huang, Martin Jaggi, Kevin Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konečný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Aparna Lakshmiratan, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Murray, Kunle Olukotun, Dimitris Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar


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