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03/31/2022
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition
In many machine learning tasks, input features with varying degrees of p...
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04/04/2021
SimCD: Simultaneous Clustering and Differential expression analysis for single-cell transcriptomic data
Single-Cell RNA sequencing (scRNA-seq) measurements have facilitated gen...
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06/11/2020
NADS: Neural Architecture Distribution Search for Uncertainty Awareness
Machine learning (ML) systems often encounter Out-of-Distribution (OoD) ...
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06/07/2020
Bayesian Graph Neural Networks with Adaptive Connection Sampling
We propose a unified framework for adaptive connection sampling in graph...
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05/21/2020
Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator
Semantic hashing has become a crucial component of fast similarity searc...
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02/12/2020
Learnable Bernoulli Dropout for Bayesian Deep Learning
In this work, we propose learnable Bernoulli dropout (LBD), a new model-...
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11/01/2019
ARSM Gradient Estimator for Supervised Learning to Rank
We propose a new model for supervised learning to rank. In our model, th...
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02/26/2019
Optimal Clustering with Missing Values
Missing values frequently arise in modern biomedical studies due to vari...
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05/03/2018