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Found 4 papers, 1 papers with code
Improving Expert Specialization in Mixture of Experts
Mixture of experts (MoE), introduced over 20 years ago, is the simplest gated modular neural network architecture.
Active Learning of Convex Halfspaces on Graphs
We systematically study the query complexity of learning geodesically convex halfspaces on graphs.
3D Self-Supervised Methods for Medical Imaging
Self-supervised learning methods have witnessed a recent surge of interest after proving successful in multiple application fields.
Learning in Reproducing Kernel Kreı̆n Spaces
We formulate a novel regularized risk minimization problem for learning in reproducing kernel Kre{ı̆}n spaces and show that the strong representer theorem applies to it.
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