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Statistical inference / Ensemble learning / Resampling / Bootstrapping / Semi-supervised learning / Supervised learning / Bootstrap aggregating / Cross-validation / Neural network / Statistics / Machine learning / Computational statistics


Under review as a conference paper at ICLRT RAINING DEEP NEURAL NETWORKS ON NOISY LABELS WITH BOOTSTRAPPING Scott E. Reed & Honglak Lee Dept. of Electrical Engineering and Computer Science, University of Michigan
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Document Date: 2015-02-07 17:31:33


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Neural Information Processing Systems / Neural Networks / Andrew / Generative Stochastic Networks / CNN / Erhan & Andrew Rabinovich Google Inc. / /

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University of Michigan Ann Arbor / /

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supervised networks / deep feed-forward network / energy function / predominant systems / object detection systems / post-classifier network / learning systems / classifier network / region proposal network / yarowsky algorithm / information processing systems / deep supervised networks / web data / stochastic networks / /

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University of Michigan Ann Arbor / PL PD / /

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model for weakly-supervised deep learning / /

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