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The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models


Dec 12, 2020
Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Michael Carbin, Zhangyang Wang


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DiffTune: Optimizing CPU Simulator Parameters with Learned Differentiable Surrogates


Oct 08, 2020
Alex Renda, Yishen Chen, Charith Mendis, Michael Carbin

* MICRO 2020 

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Pruning Neural Networks at Initialization: Why are We Missing the Mark?


Sep 18, 2020
Jonathan Frankle, Gintare Karolina Dziugaite, Daniel M. Roy, Michael Carbin


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The Lottery Ticket Hypothesis for Pre-trained BERT Networks


Jul 23, 2020
Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Zhangyang Wang, Michael Carbin


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On the Predictability of Pruning Across Scales


Jun 19, 2020
Jonathan S. Rosenfeld, Jonathan Frankle, Michael Carbin, Nir Shavit


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TIRAMISU: A Polyhedral Compiler for Dense and Sparse Deep Learning


May 07, 2020
Riyadh Baghdadi, Abdelkader Nadir Debbagh, Kamel Abdous, Fatima Zohra Benhamida, Alex Renda, Jonathan Elliott Frankle, Michael Carbin, Saman Amarasinghe


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Comparing Rewinding and Fine-tuning in Neural Network Pruning


Mar 05, 2020
Alex Renda, Jonathan Frankle, Michael Carbin

* ICLR 2020 

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Linear Mode Connectivity and the Lottery Ticket Hypothesis


Dec 11, 2019
Jonathan Frankle, Gintare Karolina Dziugaite, Daniel M. Roy, Michael Carbin

* This submission subsumes 1903.01611 ("Stabilizing the Lottery Ticket Hypothesis" and "The Lottery Ticket Hypothesis at Scale") 

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The Lottery Ticket Hypothesis at Scale


Mar 05, 2019
Jonathan Frankle, Gintare Karolina Dziugaite, Daniel M. Roy, Michael Carbin


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Ithemal: Accurate, Portable and Fast Basic Block Throughput Estimation using Deep Neural Networks


Aug 21, 2018
Charith Mendis, Saman Amarasinghe, Michael Carbin


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The Lottery Ticket Hypothesis: Finding Small, Trainable Neural Networks


May 20, 2018
Jonathan Frankle, Michael Carbin

* NIPS Submission 

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The Three Pillars of Machine Programming


May 08, 2018
Justin Gottschlich, Armando Solar-Lezama, Nesime Tatbul, Michael Carbin, Martin Rinard, Regina Barzilay, Saman Amarasinghe, Joshua B Tenenbaum, Tim Mattson


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