Papers
Addressee and Response Selection for Multi-Party Conversation
Hiroki Ouchi, Yuta Tsuboi
Addressing Environment Non-Stationarity by Repeating Q-learning Updates
Sherief Abdallah, Michael Kaisers
Addressing Limited Data for Textual Entailment Across Domains
Chaitanya Shivade, Preethi Raghavan, Siddharth Patwardhan
A Decision Procedure for a Fragment of Linear Time Mu-Calculus
Yao Liu, Zhenhua Duan, Cong Tian
A Decision Procedure for (Co)datatypes in SMT Solvers
Andrew Reynolds, Jasmin Christian Blanchette
A Decomposable Attention Model for Natural Language Inference
Ankur Parikh, Oscar Täckström, Dipanjan Das et al.
A Deeper Look at Saliency: Feature Contrast, Semantics, and Beyond
Neil D. B. Bruce, Christopher Catton, Sasa Janjic
A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks
Soujanya Poria, Erik Cambria, Devamanyu Hazarika et al.
A Deep Fusion Model for Domain Adaptation in Phrase-based MT
Nadir Durrani, Hassan Sajjad, Shafiq Joty et al.
A Deep Generative Deconvolutional Image Model
Yunchen Pu, Win Yuan, Andrew Stevens et al.
A Deep Learning Approach to Modeling Empathy in Addiction Counseling
James Gibson, Doğan Can, Bo Xiao et al.
A Deep Learning Approach to Unsupervised Ensemble Learning
Uri Shaham, Xiuyuan Cheng, Omer Dror et al.
A Demonstration of Interactive Task Learning
James Kirk, Aaron Mininger, John Laird
A Differential Approach to Causality in Staged Trees
Christiane Görgen, Jim Q. Smith
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights
Weijie Su, Stephen Boyd, Emmanuel J. Candès
ADIOS: Architectures Deep In Output Space
Moustapha Cisse, Maruan Al-Shedivat, Samy Bengio
A Direct Least-Squares Solution to the PnP Problem With Unknown Focal Length
Yinqiang Zheng, Laurent Kneip
A Discriminative Approach to Grounded Spoken Language Understanding in Interactive Robotics
Emanuele Bastianelli, Danilo Croce, Andrea Vanzo et al.
A Discriminative Topic Model using Document Network Structure
Weiwei Yang, Jordan Boyd-Graber, Philip Resnik
A Distributed and Scalable Machine Learning Approach for Big Data
Hongliang Guo, Jie Zhang
A Distributed Variational Inference Framework for Unifying Parallel Sparse Gaussian Process Regression Models
Trong Nghia Hoang, Quang Minh Hoang, Bryan Kian Hsiang Low
A Distribution-based Model to Learn Bilingual Word Embeddings
Hailong Cao, Tiejun Zhao, Shu Zhang et al.
A Diversity-Promoting Objective Function for Neural Conversation Models
Jiwei Li, Michel Galley, Chris Brockett et al.
A Divide-and-Conquer Approach for Language Identification Based on Recurrent Neural Networks
G. Gelly, Jean-Luc Gauvain, V.B. Le et al.
Adjusting for Chance Clustering Comparison Measures
Simone Romano, Nguyen Xuan Vinh, James Bailey et al.