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Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning


Aug 24, 2022
Elias Frantar, Dan Alistarh


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CrAM: A Compression-Aware Minimizer


Jul 28, 2022
Alexandra Peste, Adrian Vladu, Dan Alistarh, Christoph H. Lampert


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QuAFL: Federated Averaging Can Be Both Asynchronous and Communication-Efficient


Jun 22, 2022
Hossein Zakerinia, Shayan Talaei, Giorgi Nadiradze, Dan Alistarh


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The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models


Mar 14, 2022
Eldar Kurtic, Daniel Campos, Tuan Nguyen, Elias Frantar, Mark Kurtz, Benjamin Fineran, Michael Goin, Dan Alistarh


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Scaling the Wild: Decentralizing Hogwild!-style Shared-memory SGD


Mar 13, 2022
Bapi Chatterjee, Vyacheslav Kungurtsev, Dan Alistarh


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SPDY: Accurate Pruning with Speedup Guarantees


Jan 31, 2022
Elias Frantar, Dan Alistarh


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How Well Do Sparse Imagenet Models Transfer?


Dec 23, 2021
Eugenia Iofinova, Alexandra Peste, Mark Kurtz, Dan Alistarh

* 19 pages, 8 figures. Latest update is a correction to Fig. 2 

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Project CGX: Scalable Deep Learning on Commodity GPUs


Nov 17, 2021
Ilia Markov, Hamidreza Ramezanikebrya, Dan Alistarh


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