Papers
Noise and Metadata Sensitive Bottleneck Features for Improving Speaker Recognition with Non-Native Speech Input
Yao Qian, Jidong Tao, David Suendermann-Oeft et al.
Noise Aware and Combined Noise Models for Speech Denoising in Unknown Noise Conditions
Pavlos Papadopoulos, Colin Vaz, Shrikanth S. Narayanan
Noise-Robust Hidden Markov Models for Limited Training Data for Within-Species Bird Phrase Classification
Kantapon Kaewtip, Charles Taylor, Abeer Alwan
Noise-Tolerant Life-Long Matrix Completion via Adaptive Sampling
Maria-Florina F Balcan, Hongyang Zhang
Noisy Activation Functions
Caglar Gulcehre, Marcin Moczulski, Misha Denil et al.
Noisy Label Recovery for Shadow Detection in Unfamiliar Domains
Tomas F. Yago Vicente, Minh Hoai, Dimitris Samaras
Noisy Sparse Subspace Clustering
Yu-Xiang Wang, Huan Xu
Noisy Tensor Completion via the Sum-of-Squares Hierarchy
Boaz Barak, Ankur Moitra
Non-Gaussian Component Analysis with Log-Density Gradient Estimation
Hiroaki Sasaki, Gang Niu, Masashi Sugiyama
Non-Intrusive Performance Profiling for Entire Software Stacks Based on the Flow Reconstruction Principle
Xu Zhao, Kirk Rodrigues, Yu Luo et al.
Non-Iterative Parameter Estimation for Total Variability Model Using Randomized Singular Value Decomposition
Ruchir Travadi, Shrikanth S. Narayanan
Non-linear Causal Inference using Gaussianity Measures
Daniel Hernández-Lobato, Pablo Morales-Mombiela, David Lopez-Paz et al.
Non-Linear Smoothed Transductive Network Embedding with Text Information
Weizheng Chen, Xia Zhang, Jinpeng Wang et al.
Nonlinear Statistical Learning with Truncated Gaussian Graphical Models
Qinliang Su, Xuejun Liao, Changyou Chen et al.
Non-Local Image Dehazing
Dana Berman, Tali treibitz, Shai Avidan
Non-negative Matrix Factorization for Discrete Data with Hierarchical Side-Information
Changwei Hu, Piyush Rai, Lawrence Carin
Non-negative Matrix Factorization under Heavy Noise
Chiranjib Bhattacharya, Navin Goyal, Ravindran Kannan et al.
Nonparametric Budgeted Stochastic Gradient Descent
Trung Le, Vu Nguyen, Tu Dinh Nguyen et al.
Nonparametric Canonical Correlation Analysis
Tomer Michaeli, Weiran Wang, Karen Livescu
Nonparametric Network Models for Link Prediction
Sinead A. Williamson
Non-sentential Question Resolution using Sequence to Sequence Learning
Vineet Kumar, Sachindra Joshi
Non-Stationary Gaussian Process Regression with Hamiltonian Monte Carlo
Markus Heinonen, Henrik Mannerström, Juho Rousu et al.
Non-stochastic Best Arm Identification and Hyperparameter Optimization
Kevin Jamieson, Ameet Talwalkar
Non-Uniform Boosted MCE Training of Deep Neural Networks for Keyword Spotting
Zhong Meng, Biing-Hwang Juang
No Oops, You Won’t Do It Again: Mechanisms for Self-correction in Crowdsourcing
Nihar Shah, Dengyong Zhou