Pushing the limits of RNN Compression

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Pushing the limits of RNN Compression

4 October 2019

Ganesh S. Dasika

Matthew Mattina

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Papers citing "Pushing the limits of RNN Compression"

8 / 8 papers shown

Title
KronA: Parameter Efficient Tuning with Kronecker Adapter Ali Edalati Marzieh S. Tahaei I. Kobyzev V. Nia J. Clark Mehdi Rezagholizadeh 216 134 0 20 Dec 2022
Doping: A technique for efficient compression of LSTM models using sparse structured additive matricesConference on Machine Learning and Systems (MLSys), 2021 Urmish Thakker P. Whatmough Zhi-Gang Liu Matthew Mattina Jesse G. Beu 105 7 0 14 Feb 2021
Rank and run-time aware compression of NLP Applications Urmish Thakker Jesse G. Beu Dibakar Gope Ganesh S. Dasika Matthew Mattina 106 11 0 06 Oct 2020
High Throughput Matrix-Matrix Multiplication between Asymmetric Bit-Width Operands Dibakar Gope Jesse G. Beu Matthew Mattina 165 6 0 03 Aug 2020
Compressing Language Models using Doped Kronecker Products Urmish Thakker Paul Whatamough Zhi-Gang Liu Matthew Mattina Jesse G. Beu 199 10 0 24 Jan 2020
Ternary MobileNets via Per-Layer Hybrid Filter Banks Dibakar Gope Jesse G. Beu Urmish Thakker Matthew Mattina MQ 145 15 0 04 Nov 2019
Run-Time Efficient RNN Compression for Inference on Edge Devices Urmish Thakker Jesse G. Beu Dibakar Gope Ganesh S. Dasika Matthew Mattina 240 20 0 12 Jun 2019
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained MicrocontrollersNeural Information Processing Systems (NeurIPS), 2019 Igor Fedorov Ryan P. Adams Matthew Mattina P. Whatmough 224 173 0 28 May 2019