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How Can We Be So Slow? Winning the Hardware Lottery by Accelerating Sparse Networks

11/16/2021
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ai, brain, central processing unit, computing, deep learning, graphics processing unit, internet of things, machine learning, machine learning tools, mentorship, ml, research, science, twitter, artificial neural network, convolutional neural network, density, efficient energy use, embedded system, mathematical optimization, matrix (mathematics), matrix multiplication, program optimization, sparse matrix, theory, vector space, watt, sparse networks, kernel (linear algebra), machine learning platform, numenta
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Graphons and Machine Learning: Modeling and Estimation of Sparse Networks at Scale

05/04/2020
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collaborative filtering, data science, differential privacy, machine learning, math, adjacency matrix, continued fraction, distance, expected value, infinity, likelihood function, logarithm, matrix (mathematics), maximum likelihood estimation, norm (mathematics), parameter, sequence, universe, university of california, berkeley, vertex (graph theory), mathematical statistics, applied and computational geometry, applied mathematics, simulation and modeling, sparse networks, maximum cut, mathematical analysis, homomorphism density, knot (mathematics), large deviations theory
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