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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USB: AUnifiedSemi-supervisedLearningBenchmark forClassification
Neural Information Processing Systems
Semi-supervised learning (SSL) improves model generalization by leveraging massiveunlabeled datatoaugment limited labeled samples.
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Network-to-NetworkTranslationwith ConditionalInvertibleNeuralNetworks
Neural Information Processing Systems
Our domain transfer network can translate between fixed representations without having to learn or finetune them.
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0b2b199fdd52089b31d3a0120e400b2a-Paper-Conference.pdf
Neural Information Processing Systems
They derived a parallel form of Newton's method to solve the fixed-point problem and achieved significant speedups over sequential evaluation.
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DepartmentofElectricalandComputerEngineering,Rice University
Neural Information Processing Systems
Addernet: Do we really need multiplications in deep learning?
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