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    Learning Compact Architectures for Deep Neural Networks 

    Srinivas, Suraj (2018-05-22)
    Deep neural networks with millions of parameters are at the heart of many state of the art computer vision models. However, recent works have shown that models with much smaller number of parameters can often perform just ...

    Epistasis Detection and Phenotype Prediction in GWAS Using Machine Learning Methods 

    Chaudhary, Diksha
    Genome-wide association studies (GWAS) are used to find the association between genetic variants, Single Nucleotide Polymorphisms (SNPs), and phenotypic traits or diseases in a population. The number of GWAS has increased ...

    Relating Representations in Deep Learning and the Brain 

    Jat, Sharmistha
    Deep Neural Networks (DNN) inspired by the human brain have redefined the state-of-the-art performance in AI during the past decade. Much of the research is still trying to understand and explain the function of these ...

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    AuthorChaudhary, Diksha (1)Jat, Sharmistha (1)Srinivas, Suraj (1)Subject
    Machine Learning (3)
    Deep Neural Networks (2)Architecture Learning (1)Bayesian Neural Networks (1)Binary Neural Nets (1)Computational and Data Sciences (1)Computational Neuroscience (1)Epistasis (1)Genome-wide association studies (1)GWAS (1)... View MoreDate Issued2018 (1)Has File(s)Yes (3)

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