From the 1 of 1.6k papers with an AI index.
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5 papers · 2 filters
Parameter estimation in spherical symmetry groups
Yu-Hui Chen, Dennis Wei, Gregory Newstadt +3
This paper considers statistical estimation problems where the probability distribution of the observed random variable is invariant with respect to actions of a finite topological…
The supervised hierarchical Dirichlet process
Andrew M. Dai, Amos J. Storkey
We propose the supervised hierarchical Dirichlet process (sHDP), a nonparametric generative model for the joint distribution of a group of observations and a response variable dire…
Explaining and Harnessing Adversarial Examples
Ian J. Goodfellow, Jonathon Shlens, Christian Szegedy
Several machine learning models, including neural networks, consistently misclassify adversarial examples---inputs formed by applying small but intentionally worst-case perturbatio…
Self-informed neural network structure learning
David Warde-Farley, Andrew Rabinovich, Dragomir Anguelov
We study the problem of large scale, multi-label visual recognition with a large number of possible classes. We propose a method for augmenting a trained neural network classifier…
Circulant Binary Embedding
Felix X. Yu, Sanjiv Kumar, Yunchao Gong +1
Binary embedding of high-dimensional data requires long codes to preserve the discriminative power of the input space. Traditional binary coding methods often suffer from very high…