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Hypothesis-Driven Deep Learning for Out of Distribution Detection
Given a trained DNN and some input, we first feed the input through the DNN and compute an ensemble of OoD metrics, which we term latent responses.
Modeling Updates of Scholarly Webpages Using Archived Data
The vastness of the web imposes a prohibitive cost on building large-scale search engines with limited resources.
Gaze-Net: Appearance-Based Gaze Estimation using Capsule Networks
In this paper, we propose Gaze-Net: A capsule network capable of decoding, representing, and estimating gaze information from ocular region images.
Electroencephalogram (EEG) for Delineating Objective Measure of Autism Spectrum Disorder (ASD) (Extended Version)
There is a need for efficient objective measures that can help in diagnosing this disease early as possible with less effort.
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