Compiling KB-Sized Machine Learning Models to Tiny IoT Devices
Sridhar Gopinath, Nikhil Ghanathe, Vivek Seshadri, Rahul Sharma
PLDI | June 2019
Publications
Publications par année
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FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network
Aditya Kusupati, Manish Singh, Kush Bhatia, Ashish Kumar, Prateek Jain, Manik Varma
NIPS 2018 | December 2018
GesturePod: Gesture-based Interaction Cane for People with Visual Impairments
Shishir Patil, Don Kurian Dennis, Chirag Pabbaraju, Nadeem Shaheer, Harsha Simhadri, Vivek Seshadri, Manik Varma, Prateek Jain
MSR-TR-2018-14 | May 2018
Publié par Microsoft
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Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things
Ashish Kumar, Saurabh Goyal, Manik Varma
International Conference on Machine Learning | May 2017
Thresholding Based Efficient Outlier Robust PCA
Yeshwanth Cherapanamjeri, Prateek Jain, Praneeth Netrapalli
COLT-2017 | February 2017
ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices
Ankit Gupta, Chirag GuptaArun Sai Suggala, Ankit Gupta, Harsha Simhadri, Bhargavi Paranjape, Ashish Kumar, Saurabh Goyal, Raghavendra Udupa, Manik Varma, Prateek Jain
International Conference on Machine Learning, Sydney | February 2017
Filtre par zone de recherche
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Compiling KB-Sized Machine Learning Models to Tiny IoT Devices
Sridhar Gopinath, Nikhil Ghanathe, Vivek Seshadri, Rahul Sharma
PLDI | June 2019
FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network
Aditya Kusupati, Manish Singh, Kush Bhatia, Ashish Kumar, Prateek Jain, Manik Varma
NIPS 2018 | December 2018
GesturePod: Gesture-based Interaction Cane for People with Visual Impairments
Shishir Patil, Don Kurian Dennis, Chirag Pabbaraju, Nadeem Shaheer, Harsha Simhadri, Vivek Seshadri, Manik Varma, Prateek Jain
MSR-TR-2018-14 | May 2018
Publié par Microsoft
Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things
Ashish Kumar, Saurabh Goyal, Manik Varma
International Conference on Machine Learning | May 2017
Thresholding Based Efficient Outlier Robust PCA
Yeshwanth Cherapanamjeri, Prateek Jain, Praneeth Netrapalli
COLT-2017 | February 2017
ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices
Ankit Gupta, Chirag GuptaArun Sai Suggala, Ankit Gupta, Harsha Simhadri, Bhargavi Paranjape, Ashish Kumar, Saurabh Goyal, Raghavendra Udupa, Manik Varma, Prateek Jain
International Conference on Machine Learning, Sydney | February 2017
-
Compiling KB-Sized Machine Learning Models to Tiny IoT Devices
Sridhar Gopinath, Nikhil Ghanathe, Vivek Seshadri, Rahul Sharma
PLDI | June 2019
-
Compiling KB-Sized Machine Learning Models to Tiny IoT Devices
Sridhar Gopinath, Nikhil Ghanathe, Vivek Seshadri, Rahul Sharma
PLDI | June 2019
-
GesturePod: Gesture-based Interaction Cane for People with Visual Impairments
Shishir Patil, Don Kurian Dennis, Chirag Pabbaraju, Nadeem Shaheer, Harsha Simhadri, Vivek Seshadri, Manik Varma, Prateek Jain
MSR-TR-2018-14 | May 2018
Publié par Microsoft
Publication Type
-
Compiling KB-Sized Machine Learning Models to Tiny IoT Devices
Sridhar Gopinath, Nikhil Ghanathe, Vivek Seshadri, Rahul Sharma
PLDI | June 2019
FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network
Aditya Kusupati, Manish Singh, Kush Bhatia, Ashish Kumar, Prateek Jain, Manik Varma
NIPS 2018 | December 2018
Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things
Ashish Kumar, Saurabh Goyal, Manik Varma
International Conference on Machine Learning | May 2017
Thresholding Based Efficient Outlier Robust PCA
Yeshwanth Cherapanamjeri, Prateek Jain, Praneeth Netrapalli
COLT-2017 | February 2017
ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices
Ankit Gupta, Chirag GuptaArun Sai Suggala, Ankit Gupta, Harsha Simhadri, Bhargavi Paranjape, Ashish Kumar, Saurabh Goyal, Raghavendra Udupa, Manik Varma, Prateek Jain
International Conference on Machine Learning, Sydney | February 2017
-
GesturePod: Gesture-based Interaction Cane for People with Visual Impairments
Shishir Patil, Don Kurian Dennis, Chirag Pabbaraju, Nadeem Shaheer, Harsha Simhadri, Vivek Seshadri, Manik Varma, Prateek Jain
MSR-TR-2018-14 | May 2018
Publié par Microsoft