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06/25/2022
TEVR: Improving Speech Recognition by Token Entropy Variance Reduction
This paper presents TEVR, a speech recognition model designed to minimiz...
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01/06/2022
Bio-inspired Min-Nets Improve the Performance and Robustness of Deep Networks
Min-Nets are inspired by end-stopped cortical cells with units that outp...
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11/09/2020
Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning
This paper explores how well deep learning models trained on chest CT im...
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08/18/2020
Feature Products Yield Efficient Networks
We introduce Feature-Product networks (FP-nets) as a novel deep-network ...
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10/06/2017
Deep Convolutional Neural Networks as Generic Feature Extractors
Recognizing objects in natural images is an intricate problem involving ...
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02/08/2017
A Hybrid Convolutional Variational Autoencoder for Text Generation
In this paper we explore the effect of architectural choices on learning...
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06/02/2016
Recursive Autoconvolution for Unsupervised Learning of Convolutional Neural Networks
In visual recognition tasks, such as image classification, unsupervised ...
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03/16/2016
Recurrent Dropout without Memory Loss
This paper presents a novel approach to recurrent neural network (RNN) r...
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06/23/2014