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Found 3 papers, 2 papers with code
Image Captioning
This paper discusses and demonstrates the outcomes from our experimentation on Image Captioning.
Online Bandit Linear Optimization: A Study
This article introduces the concepts around Online Bandit Linear Optimization and explores an efficient setup called SCRiBLe (Self-Concordant Regularization in Bandit Learning) created by Abernethy et.
Bayesian Neural Networks
Thus BNNs are a unique combination of neural network and stochastic models with the stochastic model forming the core of this integration.
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