Papers
Discriminative Dictionary Learning With Ranking Metric Embedded for Person Re-Identification
De Cheng, Xiaojun Chang, Li Liu et al.
Discriminative Information Retrieval for Question Answering Sentence Selection
Tongfei Chen, Benjamin Van Durme
Discriminative Optimization: Theory and Applications to Point Cloud Registration
Jayakorn Vongkulbhisal, Fernando De la Torre, Joao P. Costeira
Discriminative State Space Models
Vitaly Kuznetsov, Mehryar Mohri
Disentangled Representation Learning GAN for Pose-Invariant Face Recognition
Luan Tran, Xi Yin, Xiaoming Liu
Disfluency Detection using a Noisy Channel Model and a Deep Neural Language Model
Paria Jamshid Lou, Mark Johnson
Disguise Adversarial Networks for Click-through Rate Prediction
Yue Deng, Yilin Shen, Hongxia Jin
Dissipativity Theory for Nesterov’s Accelerated Method
Bin Hu, Laurent Lessard
Distance Covariance Analysis
Benjamin Cowley, Joao Semedo, Amin Zandvakili et al.
Distant Supervision for Relation Extraction beyond the Sentence Boundary
Chris Quirk, Hoifung Poon
Distilling Knowledge from an Ensemble of Models for Punctuation Prediction
Jiangyan Yi, Jianhua Tao, Zhengqi Wen et al.
Distinguishing Antonyms and Synonyms in a Pattern-based Neural Network
Kim Anh Nguyen, Sabine Schulte im Walde, Ngoc Thang Vu
Distinguishing Japanese Non-standard Usages from Standard Ones
Tatsuya Aoki, Ryohei Sasano, Hiroya Takamura et al.
Distinguishing the Indistinguishable: Exploring Structural Ambiguities via Geodesic Context
Qingan Yan, Long Yang, Ling Zhang et al.
Distral: Robust multitask reinforcement learning
Yee Teh, Victor Bapst, Wojciech M. Czarnecki et al.
Distributed Accelerated Proximal Coordinate Gradient Methods
Yong Ren, Jun Zhu
Distributed Adaptive Sampling for Kernel Matrix Approximation
Daniele Calandriello, Alessandro Lazaric, Michal Valko
Distributed and Provably Good Seedings for k-Means in Constant Rounds
Olivier Bachem, Mario Lucic, Andreas Krause
Distributed Batch Gaussian Process Optimization
Erik A. Daxberger, Bryan Kian Hsiang Low
Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server
Leonard Hasenclever, Stefan Webb, Thibaut Lienart et al.
Distributed Document and Phrase Co-embeddings for Descriptive Clustering
Motoki Sato, Austin J. Brockmeier, Georgios Kontonatsios et al.
Distributed Learning with Regularized Least Squares
Shao-Bo Lin, Xin Guo, Ding-Xuan Zhou
Distributed Mean Estimation with Limited Communication
Ananda Theertha Suresh, Felix X. Yu, Sanjiv Kumar et al.
Distributed Semi-supervised Learning with Kernel Ridge Regression
Xiangyu Chang, Shao-Bo Lin, Ding-Xuan Zhou
Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks
Adam S. Charles, Dong Yin, Christopher J. Rozell