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David Macêdo

Towards Robust Deep Learning using Entropic Losses

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Aug 06, 2022
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Distinction Maximization Loss: Efficiently Improving Classification Accuracy, Uncertainty Estimation, and Out-of-Distribution Detection Simply Replacing the Loss and Calibrating

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May 19, 2022
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Multi-Cue Adaptive Emotion Recognition Network

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Nov 03, 2021
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Improving Entropic Out-of-Distribution Detection using Isometric Distances and the Minimum Distance Score

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Jun 23, 2021
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Training Aware Sigmoidal Optimizer

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Feb 17, 2021
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KutralNet: A Portable Deep Learning Model for Fire Recognition

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Aug 16, 2020
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Neural Networks Out-of-Distribution Detection: Hyperparameter-Free Isotropic Maximization Loss, The Principle of Maximum Entropy, Cold Training, and Branched Inferences

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Jun 07, 2020
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Distantly-Supervised Neural Relation Extraction with Side Information using BERT

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May 10, 2020
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A Fast Fully Octave Convolutional Neural Network for Document Image Segmentation

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Apr 03, 2020
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AM-MobileNet1D: A Portable Model for Speaker Recognition

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Mar 31, 2020
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