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Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections
Raanan Yehezkel Rohekar, Yaniv Gurwicz, Shami Nisimov, Gal Novik
Neural Information Processing Systems
Neural Information Processing Systems http://nips.cc/
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d61e9e58ae1058322bc169943b39f1d8-Paper.pdf
Neural Information Processing Systems
Setprediction tasksrequire thematching between predicted setandground truth set in order to propagate the gradient signal. Recent works have performed this matching in the original feature space thus requiring predefined distance functions.
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Uniform convergence may be unable to explain generalization in deep learning
Vaishnavh Nagarajan, J. Zico Kolter
Neural Information Processing Systems
Neural Information Processing Systems http://nips.cc/
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