Papers
SP-10K: A Large-scale Evaluation Set for Selectional Preference Acquisition
Hongming Zhang, Hantian Ding, Yangqiu Song
Space and Time Efficient Kernel Density Estimation in High Dimensions
Arturs Backurs, Piotr Indyk, Tal Wagner
Space lower bounds for linear prediction in the streaming model
Yuval Dagan, Gil Kur, Ohad Shamir
SpaceNet MVOI: A Multi-View Overhead Imagery Dataset
Nicholas Weir, David Lindenbaum, Alexei Bastidas et al.
SPAGAN: Shortest Path Graph Attention Network
Yiding Yang, Xinchao Wang, Mingli Song et al.
Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog
Panupong Pasupat, Sonal Gupta, Karishma Mandyam et al.
Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog
Panupong Pasupat, Sonal Gupta, Karishma Mandyam et al.
Span-Level Model for Relation Extraction
Kalpit Dixit, Yaser Al-Onaizan
SParC: Cross-Domain Semantic Parsing in Context
Tao Yu, Rui Zhang, Michihiro Yasunaga et al.
spark-crowd: A Spark Package for Learning from Crowdsourced Big Data
Enrique G. Rodrigo, Juan A. Aledo, José A. Gámez
Sparse Adversarial Perturbations for Videos
Xingxing Wei, Jun Zhu, Sha Yuan et al.
Sparse and Imperceivable Adversarial Attacks
Francesco Croce, Matthias Hein
Sparse Dictionary Learning by Dynamical Neural Networks
Tsung-Han Lin, Ping Tak Peter Tang
Sparse Extreme Multi-label Learning with Oracle Property
Weiwei Liu, Xiaobo Shen
Sparse Feature Selection in Kernel Discriminant Analysis via Optimal Scoring
Alexander F. Lapanowski, Irina Gaynanova
SparseFool: A Few Pixels Make a Big Difference
Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
Sparse High-Dimensional Isotonic Regression
David Gamarnik, Julia Gaudio
Sparse Kernel Regression with Coefficient-based $\ell_q-$regularization
Lei Shi, Xiaolin Huang, Yunlong Feng et al.
Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models
Shanshan Wu, Sujay Sanghavi, Alexandros G Dimakis
SparseMask: Differentiable Connectivity Learning for Dense Image Prediction
Huikai Wu, Junge Zhang, Kaiqi Huang
Sparse Multi-Channel Variational Autoencoder for the Joint Analysis of Heterogeneous Data
Luigi Antelmi, Nicholas Ayache, Philippe Robert et al.
Sparse Multivariate Bernoulli Processes in High Dimensions
Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash Amini et al.
Sparse Reject Option Classifier Using Successive Linear Programming
Kulin Shah, Naresh Manwani
SparseSense: Human Activity Recognition from Highly Sparse Sensor Data-streams Using Set-based Neural Networks
Alireza Abedin, S. Hamid Rezatofighi, Qinfeng Shi et al.
Sparse Sequence-to-Sequence Models
Ben Peters, Vlad Niculae, André F. T. Martins