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Simple Weak Coresets for Non-Decomposable Classification Measures
While coresets have been growing in terms of their application, barring few exceptions, they have mostly been limited to unsupervised settings.
OSSuM: A Gradient-Free Approach For Pruning Neural Networks At Initialization
Recent works attempt to prune neural networks at initialization to design sparse networks that can be trained efficiently.
Survey on Modeling Intensity Function of Hawkes Process Using Neural Models
Traditionally, the Hawkes process uses a critical component for modeling data as an intensity function with a parameterized kernel function.
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