Papers
Discriminative Ferns Ensemble for Hand Pose Recognition
Eyal Krupka, Alon Vinnikov, Ben Klein et al.
Discriminative Hierarchical Modeling of Spatio-Temporally Composable Human Activities
Ivan Lillo, Alvaro Soto, Juan Carlos Niebles
Discriminative Language Models as a Tool for Machine Translation Error Analysis
Koichi Akabe, Graham Neubig, Sakriani Sakti et al.
Discriminative Metric Learning by Neighborhood Gerrymandering
Shubhendu Trivedi, David Mcallester, Greg Shakhnarovich
Discriminative Reranking of Discourse Parses Using Tree Kernels
Shafiq Joty, Alessandro Moschitti
Discriminative Sparse Inverse Covariance Matrix: Application in Brain Functional Network Classification
Luping Zhou, Lei Wang, Philip Ogunbona
Discriminative Unsupervised Feature Learning with Convolutional Neural Networks
Alexey Dosovitskiy, Jost Tobias Springenberg, Martin Riedmiller et al.
Distance-Based Network Recovery under Feature Correlation
David Adametz, Volker Roth
Distance Encoded Product Quantization
Jae-Pil Heo, Zhe Lin, Sung-Eui Yoon
Distant Supervision for Relation Extraction with Matrix Completion
Miao Fan, Deli Zhao, Qiang Zhou et al.
Distributed Balanced Clustering via Mapping Coresets
Mohammadhossein Bateni, Aditya Bhaskara, Silvio Lattanzi et al.
Distributed Bayesian Posterior Sampling via Moment Sharing
Minjie Xu, Balaji Lakshminarayanan, Yee Whye Teh et al.
Distributed Estimation, Information Loss and Exponential Families
Qiang Liu, Alex Ihler
Distributed optimization of deeply nested systems
Miguel Carreira-Perpinan, Weiran Wang
Distributed Parameter Estimation in Probabilistic Graphical Models
Yariv D Mizrahi, Misha Denil, Nando de Freitas
Distributed Power-law Graph Computing: Theoretical and Empirical Analysis
Cong Xie, Ling Yan, Wu-Jun Li et al.
Distributed Representations of Geographically Situated Language
David Bamman, Chris Dyer, Noah A. Smith
Distributed Representations of Sentences and Documents
Quoc Le, Tomas Mikolov
Distributed Stochastic Gradient MCMC
Sungjin Ahn, Babak Shahbaba, Max Welling
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models
Yarin Gal, Mark van der Wilk, Carl Edward Rasmussen
Distributed Word Representation Learning for Cross-Lingual Dependency Parsing
Min Xiao, Yuhong Guo
Distributional Lexical Entailment by Topic Coherence
Laura Rimell
Distribution-independent Reliable Learning
Varun Kanade, Justin Thaler
DIT: Summarisation and Semantic Expansion in Evaluating Semantic Similarity
Magdalena Kacmajor, John D. Kelleher