NIPS 2014 5496 convex deep learning via normalized kernels pdf | 96E2DAD913038AADAE4BE8023F0115DE30A5595F

NIPS
2014 5496 convex deep learning via normalized kernels pdf

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Total Size	1.4 GB
Total Files	1237
Hash	96E2DAD913038AADAE4BE8023F0115DE30A5595F

/2014/5496-convex-deep-learning-via-normalized-kernels.pdf	416.7 KB
/2014/5237-learning-with-fredholm-kernels.pdf	781.0 KB
/2013/4986-convex-relaxations-for-permutation-problems.pdf	2.3 MB
/2013/5073-learning-with-noisy-labels.pdf	1.6 MB
/2013/4870-structured-learning-via-logistic-regression.pdf	715.6 KB
/2014/5337-feedforward-learning-of-mixture-models.pdf	566.4 KB
/2013/4966-learning-stochastic-inverses.pdf	472.2 KB
/2011/4446-efficient-online-learning-via-randomized-rounding.pdf	331.3 KB
/2014/5420-do-convnets-learn-correspondence.pdf	4.3 MB
/2013/4910-adaptive-market-making-via-online-learning.pdf	1.6 MB
/2014/5568-self-paced-learning-with-diversity.pdf	754.5 KB
/2013/5007-contrastive-learning-using-spectral-methods.pdf	359.9 KB
/2014/5487-learning-with-pseudo-ensembles.pdf	349.3 KB
/2013/5137-one-shot-learning-and-big-data-with-n2.pdf	281.0 KB
/2014/5412-quantized-kernel-learning-for-feature-matching.pdf	1.5 MB
Showing first 15 files of 1237 total files