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Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models


Nov 30, 2021
Beidi Chen, Tri Dao, Kaizhao Liang, Jiaming Yang, Zhao Song, Atri Rudra, Christopher Re


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Scatterbrain: Unifying Sparse and Low-rank Attention Approximation


Oct 28, 2021
Beidi Chen, Tri Dao, Eric Winsor, Zhao Song, Atri Rudra, Christopher Ré

* NeurIPS 2021 

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A Constant-time Adaptive Negative Sampling


Dec 31, 2020
Shabnam Daghaghi, Tharun Medini, Beidi Chen, Mengnan Zhao, Anshumali Shrivastava


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SOLAR: Sparse Orthogonal Learned and Random Embeddings


Aug 30, 2020
Tharun Medini, Beidi Chen, Anshumali Shrivastava

* Under review at NeurIPS 2020 

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Climbing the WOL: Training for Cheaper Inference


Jul 03, 2020
Zichang Liu, Zhaozhuo Xu, Alan Ji, Jonathan Li, Beidi Chen, Anshumali Shrivastava


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Angular Visual Hardness


Jan 04, 2020
Beidi Chen, Weiyang Liu, Animesh Garg, Zhiding Yu, Anshumali Shrivastava, Jan Kautz, Anima Anandkumar

* Tech Report (24 pages) 

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Lsh-sampling Breaks the Computation Chicken-and-egg Loop in Adaptive Stochastic Gradient Estimation


Oct 30, 2019
Beidi Chen, Yingchen Xu, Anshumali Shrivastava


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SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems


Mar 07, 2019
Beidi Chen, Tharun Medini, Anshumali Shrivastava


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Revisiting Winner Take All (WTA) Hashing for Sparse Datasets


Dec 07, 2016
Beidi Chen, Anshumali Shrivastava


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