no code implementations • ICLR 2018 • Josh Fromm, Shwetak Patel, Matthai Philipose
Recent work has shown that fast, compact low-bitwidth neural networks can be surprisingly accurate.
no code implementations • 10 Jan 2018 • Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodik, Paramvir Bahl, Matthai Philipose, Phillip B. Gibbons, Onur Mutlu
Focus handles the lower accuracy of the cheap CNNs by judiciously leveraging expensive CNNs at query-time.
no code implementations • CVPR 2017 • Haichen Shen, Seungyeop Han, Matthai Philipose, Arvind Krishnamurthy
Recent advances have enabled "oracle" classifiers that can classify across many classes and input distributions with high accuracy without retraining.
no code implementations • 19 Nov 2015 • Krzysztof J. Geras, Abdel-rahman Mohamed, Rich Caruana, Gregor Urban, Shengjie Wang, Ozlem Aslan, Matthai Philipose, Matthew Richardson, Charles Sutton
We consider whether deep convolutional networks (CNNs) can represent decision functions with similar accuracy as recurrent networks such as LSTMs.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3