Papers
An Adaptive Computational Model for Personalized Persuasion
Yilin Kang, Ah-Hwee Tan, Chunyan Miao
An Adaptive Data Representation for Robust Point-Set Registration and Merging
Dylan Campbell, Lars Petersson
An Algebra of Granular Temporal Relations for Qualitative Reasoning
Quentin Cohen-Solal, Maroua Bouzid, Alexandre Niveau
An Aligned Subtree Kernel for Weighted Graphs
Lu Bai, Luca Rossi, Zhihong Zhang et al.
An Almost Optimal PAC Algorithm
Hans U. Simon
Analysis of Robust PCA via Local Incoherence
Huishuai Zhang, Yi Zhou, Yingbin Liang
Analysis of Sampling Algorithms for Twitter
Deepan Subrahmanian Palguna, Vikas Joshi, Venkatesan Chakaravarthy et al.
Analyzing and Visualizing Coreference Resolution Errors
Sebastian Martschat, Thierry Göckel, Michael Strube
Analyzing Newspaper Crime Reports for Identification of Safe Transit Paths
Vasu Sharma, Rajat Kulshreshtha, Puneet Singh et al.
Analyzing Optimization for Statistical Machine Translation: MERT Learns Verbosity, PRO Learns Length
Francisco Guzmán, Preslav Nakov, Stephan Vogel
Analyzing Protocol Implementations for Interoperability
Luis Pedrosa, Ari Fogel, Nupur Kothari et al.
2015
NSDI
An AMR parser for English, French, German, Spanish and Japanese and a new AMR-annotated corpus
Lucy Vanderwende, Arul Menezes, Chris Quirk
An Analysis of Domestic Abuse Discourse on Reddit
Nicolas Schrading, Cecilia Ovesdotter Alm, Ray Ptucha et al.
An analysis of the user occupational class through Twitter content
Daniel Preoţiuc-Pietro, Vasileios Lampos, Nikolaos Aletras
An analysis of the user occupational class through Twitter content
Daniel Preoţiuc-Pietro, Vasileios Lampos, Nikolaos Aletras
An Approximate Shading Model for Object Relighting
Zicheng Liao, Kevin Karsch, David Forsyth
An Asynchronous Distributed Proximal Gradient Method for Composite Convex Optimization
Necdet Aybat, Zi Wang, Garud Iyengar
An Asynchronous Parallel Stochastic Coordinate Descent Algorithm
Ji Liu, Stephen J. Wright, Christopher Ré et al.
A Nearly-Linear Time Framework for Graph-Structured Sparsity
Chinmay Hegde, Piotr Indyk, Ludwig Schmidt
An Effective Neural Network Model for Graph-based Dependency Parsing
Wenzhe Pei, Tao Ge, Baobao Chang
An Effective Neural Network Model for Graph-based Dependency Parsing
Wenzhe Pei, Tao Ge, Baobao Chang
An Efficient Classifier Based on Hierarchical Mixing Linear Support Vector Machines
Di Wang, Xiaoqin Zhang, Mingyu Fan et al.
An Efficient Dynamic Oracle for Unrestricted Non-Projective Parsing
Carlos Gómez-Rodríguez, Daniel Fernández-González
An Efficient Dynamic Oracle for Unrestricted Non-Projective Parsing
Carlos Gómez-Rodríguez, Daniel Fernández-González
An Efficient Minimal Solution for Multi-Camera Motion
Jonathan Ventura, Clemens Arth, Vincent Lepetit