Deep Learning
Root Mean Square Layer Normalization
Neural Information Processing Systems http://nips.cc/
Likelihood Ratios for Out-of-Distribution Detection
Jie Ren, Peter J. Liu, Emily Fertig, Jasper Snoek, Ryan Poplin, Mark Depristo, Joshua Dillon, Balaji Lakshminarayanan
CIFAR-10) and tested on another (e.g.
Neural networks grown and self-organized by noise
Guruprasad Raghavan, Matt Thomson
Neural Information Processing Systems http://nips.cc/
Cascaded Dilated Dense Network with Two-step Data Consistency for MRI Reconstruction
Hao Zheng, Faming Fang, Guixu Zhang
Compressed Sensing MRI (CS-MRI) aims at reconstrcuting de-aliased images fromsub-Nyquist samplingk-space datatoaccelerate MRImaging. Inspired by recent deep learning methods, we propose a Cascaded Dilated Dense Network (CDDN)forMRIreconstruction.
e57c6b956a6521b28495f2886ca0977a-Paper.pdf
Attention mechanism has shown great performance and efficiency in a lot of deep learning models, in which relative position encoding plays a crucial role. However, when introducing attention to manifolds, there is no canonical local coordinate system to parameterize neighborhoods.
