Papers
A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks
Qinliang Su, xuejun Liao, Lawrence Carin
A Probabilistic Generative Grammar for Semantic Parsing
Abulhair Saparov, Vijay Saraswat, Tom Mitchell
A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data
Qiaolin Xia, Lei Sha, Baobao Chang et al.
APUNet: Revitalizing GPU as Packet Processing Accelerator
Younghwan Go, Muhammad Asim Jamshed, YoungGyoun Moon et al.
A Quantitative Measure of the Impact of Coarticulation on Phone Discriminability
Thomas Schatz, Rory Turnbull, Francis Bach et al.
A Quantum-Inspired Ensemble Method and Quantum-Inspired Forest Regressors
Zeke Xie, Issei Sato
A Question Answering Approach for Emotion Cause Extraction
Lin Gui, Jiannan Hu, Yulan He et al.
Arbitrary Style Transfer in Real-Time With Adaptive Instance Normalization
Xun Huang, Serge Belongie
Arc-swift: A Novel Transition System for Dependency Parsing
Peng Qi, Christopher D. Manning
A Read-Write Memory Network for Movie Story Understanding
Seil Na, Sangho Lee, Jisung Kim et al.
Areal and Phylogenetic Features for Multilingual Speech Synthesis
Alexander Gutkin, Richard Sproat
Areas of Attention for Image Captioning
Marco Pedersoli, Thomas Lucas, Cordelia Schmid et al.
A Reasoning System for a First-Order Logic of Limited Belief
Christoph Schwering
A Recurrent Neural Model with Attention for the Recognition of Chinese Implicit Discourse Relations
Samuel Rönnqvist, Niko Schenk, Christian Chiarcos
A Recursive Shortcut for CEGAR: Application To The Modal Logic K Satisfiability Problem
Jean-Marie Lagniez, Daniel Le Berre, Tiago de Lima et al.
A Reduction based Method for Coloring Very Large Graphs
Jinkun Lin, Shaowei Cai, Chuan Luo et al.
Are Emojis Predictable?
Francesco Barbieri, Miguel Ballesteros, Horacio Saggion
A Regularized Framework for Sparse and Structured Neural Attention
Vlad Niculae, Mathieu Blondel
A Reinforcement Learning Approach to the View Planning Problem
Mustafa Devrim Kaba, Mustafa Gokhan Uzunbas, Ser Nam Lim
Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization?
Torsten Sattler, Akihiko Torii, Josef Sivic et al.
A Relevance Score Estimation for Spoken Term Detection Based on RNN-Generated Pronunciation Embeddings
Jan Švec, Josef V. Psutka, Luboš Šmídl et al.
Are Manually Prepared Affective Lexicons Really Useful for Sentiment Analysis
Minglei Li, Qin Lu, Yunfei Long
A Rescoring Approach for Keyword Search Using Lattice Context Information
Zhipeng Chen, Ji Wu
A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework
Weixin Luo, Wen Liu, Shenghua Gao