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MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers

Oct 25, 2020
Colby Banbury, Chuteng Zhou, Igor Fedorov, Ramon Matas Navarro, Urmish Thakker, Dibakar Gope, Vijay Janapa Reddi, Matthew Mattina, Paul N. Whatmough

* 10 pages, 8 figures, 3 tables, appendix 

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Rank and run-time aware compression of NLP Applications

Oct 06, 2020
Urmish Thakker, Jesse Beu, Dibakar Gope, Ganesh Dasika, Matthew Mattina

* Published at [email protected] 2020. arXiv admin note: text overlap with arXiv:1906.04886 

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High Throughput Matrix-Matrix Multiplication between Asymmetric Bit-Width Operands

Aug 03, 2020
Dibakar Gope, Jesse Beu, Matthew Mattina


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Ternary MobileNets via Per-Layer Hybrid Filter Banks

Nov 04, 2019
Dibakar Gope, Jesse Beu, Urmish Thakker, Matthew Mattina


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Pushing the limits of RNN Compression

Oct 09, 2019
Urmish Thakker, Igor Fedorov, Jesse Beu, Dibakar Gope, Chu Zhou, Ganesh Dasika, Matthew Mattina

* 5th edition of Workshop on Energy Efficient Machine Learning and Cognitive Computing at NeurIPS 2019 
* 6 pages. arXiv admin note: substantial text overlap with arXiv:1906.02876 

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Compressing RNNs for IoT devices by 15-38x using Kronecker Products

Jun 18, 2019
Urmish Thakker, Jesse Beu, Dibakar Gope, Chu Zhou, Igor Fedorov, Ganesh Dasika, Matthew Mattina


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Run-Time Efficient RNN Compression for Inference on Edge Devices

Jun 18, 2019
Urmish Thakker, Jesse Beu, Dibakar Gope, Ganesh Dasika, Matthew Mattina

* Published at 4th edition of Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications at International Symposium of Computer Architecture 2019, Phoenix, Arizona (https://www.emc2-workshop.com/isca-19) colocated with ISCA 2019 

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Ternary Hybrid Neural-Tree Networks for Highly Constrained IoT Applications

Mar 04, 2019
Dibakar Gope, Ganesh Dasika, Matthew Mattina

* 2nd Conference on Systems and Machine Learning (SysML), 2019 

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