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11/25/2021
Going Grayscale: The Road to Understanding and Improving Unlearnable Examples
Recent work has shown that imperceptible perturbations can be applied to...
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11/01/2021
Swift sky localization of gravitational waves using deep learning seeded importance sampling
Fast, highly accurate, and reliable inference of the sky origin of gravi...
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11/08/2020
Skewed Laplace Spectral Mixture kernels for long-term forecasting in Gaussian process
Long-term forecasting involves predicting a horizon that is far ahead of...
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05/06/2019
Unsupervised Domain Adaptation using Graph Transduction Games
Unsupervised domain adaptation (UDA) amounts to assigning class labels t...
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04/12/2018
Generative models for local network community detection
Local network community detection aims to find a single community in a l...
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04/12/2018
Simple Domain Adaptation with Class Prediction Uncertainty Alignment
Unsupervised domain adaptation tries to adapt a classifier trained on a ...
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03/20/2018
Domain Adaptation with Randomized Expectation Maximization
Domain adaptation (DA) is the task of classifying an unlabeled dataset (...
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11/15/2017
Convolutional Neural Networks and Data Augmentation for Spectral-Spatial Classification of Hyperspectral Images
Spectral-spatial classification of remotely sensed hyperspectral images ...
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09/14/2017
Deep Learning for Automatic Stereotypical Motor Movement Detection using Wearable Sensors in Autism Spectrum Disorders
Autism Spectrum Disorders are associated with atypical movements, of whi...
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06/16/2017
L2 Regularization versus Batch and Weight Normalization
Batch Normalization is a commonly used trick to improve the training of ...
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06/16/2017
Biased Bagging for Unsupervised Domain Adaptation
Unsupervised domain adaptation (DA) is an active research area whose dev...
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01/21/2016
Local Network Community Detection with Continuous Optimization of Conductance and Weighted Kernel K-Means
Local network community detection is the task of finding a single commun...
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07/22/2014
Resolution-limit-free and local Non-negative Matrix Factorization quality functions for graph clustering
Many graph clustering quality functions suffer from a resolution limit, ...
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08/15/2013