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The Implicit Metropolis-Hastings Algorithm
Kirill Neklyudov, Evgenii Egorov, Dmitry P. Vetrov
Neural Information Processing Systems http://nips.cc/
- Europe > Russia > Central Federal District > Moscow Oblast > Moscow (0.05)
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- North America > United States > Connecticut > New Haven County > New Haven (0.04)
- North America > Canada (0.04)
Riemannian Laplace approximations for Bayesian neural networks
However, practical posteriors are often, even locally, highly non-Gaussian, and empirical performance deteriorates.
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- Europe > Denmark (0.04)
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- North America > United States > California (0.04)
- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.68)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Uncertainty > Bayesian Inference (0.67)
Learnable Tree Filter for Structure-preserving Feature Transform
Lin Song, Yanwei Li, Zeming Li, Gang Yu, Hongbin Sun, Jian Sun, Nanning Zheng
Neural Information Processing Systems http://nips.cc/
- North America > Canada (0.04)
- Asia > China > Shaanxi Province > Xi'an (0.04)
- Asia > China > Guangxi Province > Nanning (0.04)
Toddler-Inspired Visual Object Learning
Sven Bambach, David Crandall, Linda Smith, Chen Yu
You Only Look Once: ime Object Detection.
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- Research Report > Experimental Study (1.00)
- Research Report > New Finding (0.66)
ef0c0a23a1a8219c4fc381614664df3e-Paper-Conference.pdf
Thefamily of f-divergences includes Kullback-Leibler divergence [23] and Total Variation distance.
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data
Maurice Weiler, Mario Geiger, Max Welling, Wouter Boomsma, Taco S. Cohen
Neural Information Processing Systems http://nips.cc/
- Europe > Netherlands > North Holland > Amsterdam (0.04)
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- Europe > Denmark > Capital Region > Copenhagen (0.04)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.69)
- Information Technology > Artificial Intelligence > Vision (0.69)
- Information Technology > Sensing and Signal Processing > Image Processing (0.68)
- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (0.46)
Full-Gradient Representation for Neural Network Visualization
Suraj Srinivas, François Fleuret
Neural Information Processing Systems http://nips.cc/
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- North America > United States > Minnesota > Hennepin County > Minneapolis (0.14)
- Asia > China > Hong Kong (0.04)
- Asia > Middle East > UAE > Abu Dhabi Emirate > Abu Dhabi (0.04)
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- Health & Medicine > Therapeutic Area > Immunology (0.93)
- Health & Medicine > Therapeutic Area > Infections and Infectious Diseases (0.92)
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Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection
Xiaoyi Gu, Leman Akoglu, Alessandro Rinaldo
In this paper we are concerned with investigating theperformance ofNN-based methods foranomaly detection. We firstshowthrough extensivesimulations thatNNmethods compare favorably to some of the other state-of-the-art algorithms for anomaly detection based on a setofbenchmark syntheticdatasets.
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