Papers
-Search for Incremental Parsing
Yijia Liu, Wanxiang Che, Bing Qin et al.
Search Improves Label for Active Learning
Alina Beygelzimer, Daniel J. Hsu, John Langford et al.
Search Space Pruning: A Simple Solution for Better Coreference Resolvers
Nafise Sadat Moosavi, Michael Strube
SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques
Elad Richardson, Rom Herskovitz, Boris Ginsburg et al.
Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization
Toshiyuki Takada, Hiroyuki Hanada, Yoshiji Yamada et al.
Seeing Behind the Camera: Identifying the Authorship of a Photograph
Christopher Thomas, Adriana Kovashka
Seeing Glassware: from Edge Detection to Pose Estimation and Shape Recovery
Cody J. Phillips, Matthieu Lecce, Kostas Daniilidis
Seeing Through the Human Reporting Bias: Visual Classifiers From Noisy Human-Centric Labels
Ishan Misra, C. Lawrence Zitnick, Margaret Mitchell et al.
Segmental Recurrent Neural Networks for End-to-End Speech Recognition
Liang Lu, Lingpeng Kong, Chris Dyer et al.
Segmented Dynamic Time Warping for Spoken Query-by-Example Search
Jorge Proença, Fernando Perdigão
Segment-Level Sequence Modeling using Gated Recursive Semi-Markov Conditional Random Fields
Jingwei Zhuo, Yong Cao, Jun Zhu et al.
Select-and-Sample for Spike-and-Slab Sparse Coding
Abdul-Saboor Sheikh, Jörg Lücke
Selecting Sentences versus Selecting Tree Constituents for Automatic Question Ranking
Alberto Barrón-Cedeño, Giovanni Da San Martino, Salvatore Romeo et al.
Selecting Syntactic, Non-redundant Segments in Active Learning for Machine Translation
Akiva Miura, Graham Neubig, Michael Paul et al.
Selection of Multi-Genre Broadcast Data for the Training of Automatic Speech Recognition Systems
P. Lanchantin, Mark J.F. Gales, Penny Karanasou et al.
Selective Co-occurrences for Word-Emotion Association
Ameeta Agrawal, Aijun An
Selective inference for group-sparse linear models
Fan Yang, Rina Foygel Barber, Prateek Jain et al.
Selective Norm Monitoring
Natalia Criado, Jose M. Such
Self-Adapted Multi-Task Clustering
Xianchao Zhang, Xiaotong Zhang, Han Liu
Self-Adaptive DNN for Improving Spoken Language Proficiency Assessment
Yao Qian, Xinhao Wang, Keelan Evanini et al.
Self-Adaptive Matrix Completion for Heart Rate Estimation From Face Videos Under Realistic Conditions
Sergey Tulyakov, Xavier Alameda-Pineda, Elisa Ricci et al.
Self Monitoring, Goal Driven Autonomy Agents
Dustin Dannenhauer
Self-Paced Boost Learning for Classification
Te Pi, Xi Li, Zhongfei Zhang et al.
Semantic 3D Reconstruction With Continuous Regularization and Ray Potentials Using a Visibility Consistency Constraint
Nikolay Savinov, Christian Hane, Lubor Ladicky et al.
Semantically Motivated Hebrew Verb-Noun Multi-Word Expressions Identification
Chaya Liebeskind, Yaakov HaCohen-Kerner