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Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation
A key problem in computational sustainability is to understand the distr...
10/30/2020 ∙ by Shufeng Kong, et al. ∙
43
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Representation Learning for Sequence Data with Deep Autoencoding Predictive Components
We propose Deep Autoencoding Predictive Components (DAPC) – a self-super...
10/07/2020 ∙ by Junwen Bai, et al. ∙
0
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Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model
Multi-label classification is the challenging task of predicting the pre...
07/12/2020 ∙ by Junwen Bai, et al. ∙
0
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SWALP : Stochastic Weight Averaging in Low-Precision Training
Low precision operations can provide scalability, memory savings, portab...
04/26/2019 ∙ by Guandao Yang, et al. ∙
10
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Imitation Refinement
Many real-world tasks involve identifying patterns from data satisfying ...
05/07/2018 ∙ by Junwen Bai, et al. ∙
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Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery
High-Throughput materials discovery involves the rapid synthesis, measur...
10/03/2016 ∙ by Yexiang Xue, et al. ∙
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