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Wasserstein Variational Inference
Luca Ambrogioni, Umut Güçlü, Yağmur Güçlütürk, Max Hinne, Marcel A. J. van Gerven, Eric Maris
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Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs
Denis Mazur, Vage Egiazarian, Stanislav Morozov, Artem Babenko
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In this paper, we aim to eliminate the inductive bias imposed by the embedding space geometry.
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SInGE: SparsityviaIntegratedGradientsEstimationofNeuronRelevance
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However it often comes at a computational price which may hinder their deployment.
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Scalable Robust Matrix Factorization with Nonconvex Loss
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e589022774244df75b97eae18bb3628d-Supplemental-Conference.pdf
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But despite its wide applicability (see 2.2) and elegance, convergence theory for CCCP is quite limited.
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