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Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence., , , , , и . Neural Comput., (2018)Foreword: special issue for the journal track of the 10th Asian Conference on Machine Learning (ACML 2018)., и . Mach. Learn., 108 (5): 717-719 (2019)Efficient neural network compression via transfer learning for machine vision inspection., , и . Neurocomputing, (2020)Evaluating Out-of-Distribution Detectors Through Adversarial Generation of Outliers., , , , и . CoRR, (2022)k-Nearest Neighbor Classification Algorithm for Multiple Choice Sequential Sampling., , и . CogSci, cognitivesciencesociety.org, (2013)Direct Density-Derivative Estimation and Its Application in KL-Divergence Approximation., , и . AISTATS, том 38 из JMLR Workshop and Conference Proceedings, JMLR.org, (2015)Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach., , , и . CoRR, (2023)Motion planning with movement primitives for cooperative aerial transportation in obstacle environment., , , , и . ICRA, стр. 2328-2334. IEEE, (2017)A Reparametrization-Invariant Sharpness Measure Based on Information Geometry., , , и . NeurIPS, (2022)Feature selection for brain-computer interface using nearest neighbor information., и . BCI, стр. 1-3. IEEE, (2014)