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08/17/2021
Memory-Efficient Factorization Machines via Binarizing both Data and Model Coefficients
Factorization Machines (FM), a general predictor that can efficiently mo...
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11/24/2020
Effective and Sparse Count-Sketch via k-means clustering
Count-sketch is a popular matrix sketching algorithm that can produce a ...
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10/06/2020
Compressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters
Deep Convolutional Neural Networks (CNN) have been successfully applied ...
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10/06/2020
Memory and Computation-Efficient Kernel SVM via Binary Embedding and Ternary Model Coefficients
Kernel approximation is widely used to scale up kernel SVM training and ...
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02/05/2020