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Found 4 papers, 1 papers with code
Transformer Networks for Predictive Group Elevator Control
We propose a Predictive Group Elevator Scheduler by using predictive information of passengers arrivals from a Transformer based destination predictor and a linear regression model that predicts remaining time to destinations.
Diverse Gaussian Noise Consistency Regularization for Robustness and Uncertainty Calibration
In this paper, we propose a diverse Gaussian noise consistency regularization method for improving robustness of image classifiers under a variety of corruptions while still maintaining high clean accuracy.
Active query-driven visual search using probabilistic bisection and convolutional neural networks
We present a novel efficient object detection and localization framework based on the probabilistic bisection algorithm.
Distributed Probabilistic Bisection Search using Social Learning
We present a novel distributed probabilistic bisection algorithm using social learning with application to target localization.
