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06/07/2023
Interpretable Deep Clustering
Clustering is a fundamental learning task widely used as a first step in...
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10/28/2022
SG-VAD: Stochastic Gates Based Speech Activity Detection
We propose a novel voice activity detection (VAD) model in a low-resourc...
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10/12/2021
Single Independent Component Recovery and Applications
Latent variable discovery is a central problem in data analysis with a b...
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10/11/2021
Deep Unsupervised Feature Selection by Discarding Nuisance and Correlated Features
Modern datasets often contain large subsets of correlated features and n...
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11/15/2020
Deep Ordinal Regression using Optimal Transport Loss and Unimodal Output Probabilities
We propose a framework for deep ordinal regression, based on unimodal ou...
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07/09/2020