Deep Learning
New computational algorithms make it possible to build neural networks with many input nodes and many layers, and distinguish "deep learning" of these networks from previous work on artificial neural nets.
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NeuroGF: A Neural Representation for Fast Geodesic Distance and Path Queries
Neural Information Processing Systems
Geodesics play a critical role in many geometry processing applications.
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ProvablyRobustMetricLearning
Neural Information Processing Systems
Experimental results showthattheproposed metriclearning algorithm improves both certified robust errors and empirical robust errors (errors under adversarial attacks).
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