Papers
Revisiting Word Embedding for Contrasting Meaning
Zhigang Chen, Wei Lin, Qian Chen et al.
SensEmbed: Learning Sense Embeddings for Word and Relational Similarity
Ignacio Iacobacci, Mohammad Taher Pilehvar, Roberto Navigli
Semantically Smooth Knowledge Graph Embedding
Shu Guo, Quan Wang, Bin Wang et al.
Weakly Supervised Models of Aspect-Sentiment for Online Course Discussion Forums
Arti Ramesh, Shachi H. Kumar, James Foulds et al.
MultiGranCNN: An Architecture for General Matching of Text Chunks on Multiple Levels of Granularity
Wenpeng Yin, Hinrich Schütze
Text to 3D Scene Generation with Rich Lexical Grounding
Angel Chang, Will Monroe, Manolis Savva et al.
Describing Images using Inferred Visual Dependency Representations
Desmond Elliott, Arjen de Vries
Statistical Machine Translation Features with Multitask Tensor Networks
Hendra Setiawan, Zhongqiang Huang, Jacob Devlin et al.
Encoding Source Language with Convolutional Neural Network for Machine Translation
Fandong Meng, Zhengdong Lu, Mingxuan Wang et al.
Addressing the Rare Word Problem in Neural Machine Translation
Thang Luong, Ilya Sutskever, Quoc Le et al.
On Using Very Large Target Vocabulary for Neural Machine Translation
Sébastien Jean, Kyunghyun Cho, Roland Memisevic et al.
Recognizing retinal ganglion cells in the dark
Emile Richard, Georges A Goetz, E. J. Chichilnisky
Local Causal Discovery of Direct Causes and Effects
Tian Gao, Qiang Ji
Learning Large-Scale Poisson DAG Models based on OverDispersion Scoring
Gunwoong Park, Garvesh Raskutti
Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions
Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada et al.
Fast Second Order Stochastic Backpropagation for Variational Inference
Kai Fan, Ziteng Wang, Jeff Beck et al.
On the Pseudo-Dimension of Nearly Optimal Auctions
Jamie H Morgenstern, Tim Roughgarden
Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question
Haoyuan Gao, Junhua Mao, Jie Zhou et al.
The Brain Uses Reliability of Stimulus Information when Making Perceptual Decisions
Sebastian Bitzer, Stefan Kiebel
Decomposition Bounds for Marginal MAP
Wei Ping, Qiang Liu, Alex Ihler
Convolutional Networks on Graphs for Learning Molecular Fingerprints
David K. Duvenaud, Dougal Maclaurin, Jorge Iparraguirre et al.
A Dual Augmented Block Minimization Framework for Learning with Limited Memory
Ian En-Hsu Yen, Shan-Wei Lin, Shou-De Lin
Spherical Random Features for Polynomial Kernels
Jeffrey Pennington, Felix Xinnan X Yu, Sanjiv Kumar
Monotone k-Submodular Function Maximization with Size Constraints
Naoto Ohsaka, Yuichi Yoshida