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02/18/2022
Interactive Visual Pattern Search on Graph Data via Graph Representation Learning
Graphs are a ubiquitous data structure to model processes and relations ...
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01/03/2020
Improve Unsupervised Domain Adaptation with Mixup Training
Unsupervised domain adaptation studies the problem of utilizing a releva...
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04/08/2019
Audio Source Separation via Multi-Scale Learning with Dilated Dense U-Nets
Modern audio source separation techniques rely on optimizing sequence mo...
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11/01/2018
Designing an Effective Metric Learning Pipeline for Speaker Diarization
State-of-the-art speaker diarization systems utilize knowledge from exte...
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10/02/2018
Attention Models with Random Features for Multi-layered Graph Embeddings
Modern data analysis pipelines are becoming increasingly complex due to ...
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08/04/2018
Triplet Network with Attention for Speaker Diarization
In automatic speech processing systems, speaker diarization is a crucial...
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11/15/2017
Optimizing Kernel Machines using Deep Learning
Building highly non-linear and non-parametric models is central to sever...
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11/10/2017
Attend and Diagnose: Clinical Time Series Analysis using Attention Models
With widespread adoption of electronic health records, there is an incre...
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12/28/2016