Papers
Sanskrit Word Segmentation Using Character-level Recurrent and Convolutional Neural Networks
Oliver Hellwig, Sebastian Nehrdich
SANTO: A Web-based Annotation Tool for Ontology-driven Slot Filling
Matthias Hartung, Hendrik ter Horst, Frank Grimm et al.
Saturating Splines and Feature Selection
Nicholas Boyd, Trevor Hastie, Stephen Boyd et al.
Saying no but meaning yes: negation and sentiment analysis in Basque
Jon Alkorta, Koldo Gojenola, Mikel Iruskieta
SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation
Bo Dai, Albert Shaw, Lihong Li et al.
SB@GU at the Complex Word Identification 2018 Shared Task
David Alfter, Ildikó Pilán
SBNet: Sparse Blocks Network for Fast Inference
Mengye Ren, Andrei Pokrovsky, Bin Yang et al.
Scalable and Effective Deep CCA via Soft Decorrelation
Xiaobin Chang, Tao Xiang, Timothy M. Hospedales
Scalable approximate Bayesian inference for particle tracking data
Ruoxi Sun, Liam Paninski
Scalable Bayes via Barycenter in Wasserstein Space
Sanvesh Srivastava, Cheng Li, David B. Dunson
Scalable Bilinear Pi Learning Using State and Action Features
Yichen Chen, Lihong Li, Mengdi Wang
Scalable Construction and Reasoning of Massive Knowledge Bases
Xiang Ren, Nanyun Peng, William Yang Wang
Scalable Coordinated Exploration in Concurrent Reinforcement Learning
Maria Dimakopoulou, Ian Osband, Benjamin Van Roy
Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
Dmitry Kalashnikov, Alex Irpan, Peter Pastor et al.
Scalable Deletion-Robust Submodular Maximization: Data Summarization with Privacy and Fairness Constraints
Ehsan Kazemi, Morteza Zadimoghaddam, Amin Karbasi
Scalable Dense Non-Rigid Structure-From-Motion: A Grassmannian Perspective
Suryansh Kumar, Anoop Cherian, Yuchao Dai et al.
Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation
Matthew O'Kelly, Aman Sinha, Hongseok Namkoong et al.
Scalable Factorized Hierarchical Variational Autoencoder Training
Wei-Ning Hsu, James Glass
Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition
Pavel Izmailov, Alexander Novikov, Dmitry Kropotov
Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF)
Trefor Evans, Prasanth Nair
Scalable Generalized Dynamic Topic Models
Patrick Jähnichen, Florian Wenzel, Marius Kloft et al.
Scalable Hash-Based Estimation of Divergence Measures
Morteza Noshad, Alfred Hero
Scalable Hyperparameter Transfer Learning
Valerio Perrone, Rodolphe Jenatton, Matthias W Seeger et al.
Scalable Initial State Interdiction for Factored MDPs
Swetasudha Panda, Yevgeniy Vorobeychik
Scalable Laplacian K-modes
Imtiaz Ziko, Eric Granger, Ismail Ben Ayed