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cs.LG2022
Gaussian Process Classification Bandits
Tatsuya Hayashi, Naoki Ito, Koji Tabata +4
Classification bandits are multi-armed bandit problems whose task is to classify a given set of arms into either positive or negative class depending on whether the rate of the arm…
cs.LG2022
Simplification of Forest Classifiers and Regressors
Atsuyoshi Nakamura, Kento Sakurada
We study the problem of sharing as many branching conditions of a given forest classifier or regressor as possible while keeping classification performance. As a constraint for pre…
cs.CV2022
Slimmable Pruned Neural Networks
Hideaki Kuratsu, Atsuyoshi Nakamura
Slimmable Neural Networks (S-Net) is a novel network which enabled to select one of the predefined proportions of channels (sub-network) dynamically depending on the current comput…