Papers
Non-Uniform Spectral Smoothing for Robust Children's Speech Recognition
Ishwar Chandra Yadav, Avinash Kumar, Syed Shahnawazuddin et al.
Noria: dynamic, partially-stateful data-flow for high-performance web applications
Jon Gjengset, Malte Schwarzkopf, Jonathan Behrens et al.
Normal Bandits of Unknown Means and Variances
Wesley Cowan, Junya Honda, Michael N. Katehakis
Normalization of Transliterated Words in Code-Mixed Data Using Seq2Seq Model & Levenshtein Distance
Soumil Mandal, Karthick Nanmaran
Normalized Blind Deconvolution
Meiguang Jin, Stefan Roth, Paolo Favaro
Normalized Cut Loss for Weakly-Supervised CNN Segmentation
Meng Tang, Abdelaziz Djelouah, Federico Perazzi et al.
Normalizing Early English Letters to Present-day English Spelling
Mika Hämäläinen, Tanja Säily, Jack Rueter et al.
Norm matters: efficient and accurate normalization schemes in deep networks
Elad Hoffer, Ron Banner, Itay Golan et al.
Norm-Ranging LSH for Maximum Inner Product Search
Xiao Yan, Jinfeng Li, Xinyan Dai et al.
Not All Samples Are Created Equal: Deep Learning with Importance Sampling
Angelos Katharopoulos, Francois Fleuret
Not Just Depressed: Bipolar Disorder Prediction on Reddit
Ivan Sekulic, Matej Gjurković, Jan Šnajder
Not-So-Random Features
Brian Bullins, Cyril Zhang, Yi Zhang
Not that much power: Linguistic alignment is influenced more by low-level linguistic features rather than social power
Yang Xu, Jeremy Cole, David Reitter
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care
Patrick Schwab, Emanuela Keller, Carl Muroi et al.
Novel Algorithms for Abstract Dialectical Frameworks based on Complexity Analysis of Subclasses and SAT Solving
Thomas Linsbichler, Marco Maratea, Andreas Niskanen et al.
Novel Empirical Mode Decomposition Cepstral Features for Replay Spoof Detection
Prasad Tapkir, Hemant Patil
Novel Linear Frequency Residual Cepstral Features for Replay Attack Detection
Hemlata Tak, Hemant Patil
NovelPerspective: Identifying Point of View Characters
Lyndon White, Roberto Togneri, Wei Liu et al.
Novel Structural Parameters for Acyclic Planning Using Tree Embeddings
Christer Bäckström, Peter Jonsson, Sebastian Ordyniak
Novelty Goes Deep. A Deep Neural Solution To Document Level Novelty Detection
Tirthankar Ghosal, Vignesh Edithal, Asif Ekbal et al.
Now You Shake Me: Towards Automatic 4D Cinema
Yuhao Zhou, Makarand Tapaswi, Sanja Fidler
NPE: Neural Personalized Embedding for Collaborative Filtering
ThaiBinh Nguyen, Atsuhiro Takasu
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval
Canjia Li, Yingfei Sun, Ben He et al.