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Found 8 papers, 1 papers with code
Distilled ChatGPT Topic & Sentiment Modeling with Applications in Finance
In this study, ChatGPT is utilized to create streamlined models that generate easily interpretable features.
Qini-based Uplift Regression
We introduce a Qini-based uplift regression model to analyze a large insurance company's retention marketing campaign.
How Does Batch Normalization Help Binary Training?
Binary Neural Networks (BNNs) are difficult to train, and suffer from drop of accuracy.
BNN+: Improved Binary Network Training
Binary neural networks (BNN) help to alleviate the prohibitive resource requirements of DNN, where both activations and weights are limited to 1-bit.
Active Learning for High-Dimensional Binary Features
Erbium-doped fiber amplifier (EDFA) is an optical amplifier/repeater device used to boost the intensity of optical signals being carried through a fiber optic communication system.
Foothill: A Quasiconvex Regularization for Edge Computing of Deep Neural Networks
Using a quasiconvex base function in order to construct a binary quantizer helps training binary neural networks (BNNs) and adding noise to the input data or using a concrete regularization function helps to improve generalization error.
Regularized Binary Network Training
We propose to improve the binary training method, by introducing a new regularization function that encourages training weights around binary values.
