Papers
DEL: Deep Embedding Learning for Efficient Image Segmentation
Yun Liu, Peng-Tao Jiang, Vahan Petrosyan et al.
DELF: A Dual-Embedding based Deep Latent Factor Model for Recommendation
Weiyu Cheng, Yanyan Shen, Yanmin Zhu et al.
Democratic Fair Allocation of Indivisible Goods
Erel Segal-Halevi, Warut Suksompong
Densely Cascaded Shadow Detection Network via Deeply Supervised Parallel Fusion
Yupei Wang, Xin Zhao, Yin Li et al.
Densely Connected CNN with Multi-scale Feature Attention for Text Classification
Shiyao Wang, Minlie Huang, Zhidong Deng
Deontic Sensors
Julian Padget, Marina De Vos, Charlie Ann Page
Descriptive Clustering: ILP and CP Formulations with Applications
Thi-Bich-Hanh Dao, Chia-Tung Kuo, S. S. Ravi et al.
Designing the Game to Play: Optimizing Payoff Structure in Security Games
Zheyuan Ryan Shi, Ziye Tang, Long Tran-Thanh et al.
Deterministic Binary Filters for Convolutional Neural Networks
Vincent W.-S. Tseng, Sourav Bhattacharya, Javier Fernández Marqués et al.
Differentiable Submodular Maximization
Sebastian Tschiatschek, Aytunc Sahin, Andreas Krause
Differential Equations for Modeling Asynchronous Algorithms
Li He, Qi Meng, Wei Chen et al.
Differentiated Attentive Representation Learning for Sentence Classification
Qianrong Zhou, Xiaojie Wang, Xuan Dong
Digitalized Cognitive Assessment mediated by a Virtual Caregiver
Matteo Luperto, Marta Romeo, Francesca Lunardini et al.
Dilated Convolutional Network with Iterative Optimization for Continuous Sign Language Recognition
Junfu Pu, Wengang Zhou, Houqiang Li
Discrete Factorization Machines for Fast Feature-based Recommendation
Han Liu, Xiangnan He, Fuli Feng et al.
Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management
Amrita Gupta, Mehrdad Farajtabar, Bistra Dilkina et al.
Discrete Network Embedding
Xiaobo Shen, Shirui Pan, Weiwei Liu et al.
Distance Metric Facilitated Transportation between Heterogeneous Domains
Han-Jia Ye, Xiang-Rong Sheng, De-Chuan Zhan et al.
Distortion-aware CNNs for Spherical Images
Qiang Zhao, Chen Zhu, Feng Dai et al.
Distributed Pareto Optimization for Subset Selection
Chao Qian, Guiying Li, Chao Feng et al.
Distributed Primal-Dual Optimization for Non-uniformly Distributed Data
Minhao Cheng, Cho-Jui Hsieh
Distributed Self-Paced Learning in Alternating Direction Method of Multipliers
Xuchao Zhang, Liang Zhao, Zhiqian Chen et al.
Distributing Frank-Wolfe via Map-Reduce
Armin Moharrer, Stratis Ioannidis
Distributional Correspondence Indexing for Cross-Lingual and Cross-Domain Sentiment Classification (Extended Abstract)
Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani
Divide and Conquer: Towards Faster Pseudo-Boolean Solving
Jan Elffers, Jakob Nordström