Papers
Decision Jungles: Compact and Rich Models for Classification
Jamie Shotton, Toby Sharp, Pushmeet Kohli et al.
Deep content-based music recommendation
Aaron van den Oord, Sander Dieleman, Benjamin Schrauwen
Deep Fisher Networks for Large-Scale Image Classification
Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
Deep Neural Networks for Object Detection
Christian Szegedy, Alexander Toshev, Dumitru Erhan
Demixing odors - fast inference in olfaction
Agnieszka Grabska-Barwinska, Jeff Beck, Alexandre Pouget et al.
Density estimation from unweighted k-nearest neighbor graphs: a roadmap
Ulrike Von Luxburg, Morteza Alamgir
Designed Measurements for Vector Count Data
Liming Wang, David E Carlson, Miguel Rodrigues et al.
DESPOT: Online POMDP Planning with Regularization
Adhiraj Somani, Nan Ye, David Hsu et al.
DeViSE: A Deep Visual-Semantic Embedding Model
Andrea Frome, Greg S Corrado, Jon Shlens et al.
Dimension-Free Exponentiated Gradient
Francesco Orabona
Direct 0-1 Loss Minimization and Margin Maximization with Boosting
Shaodan Zhai, Tian Xia, Ming Tan et al.
Dirty Statistical Models
Eunho Yang, Pradeep K Ravikumar
Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests
Yacine Jernite, Yonatan Halpern, David Sontag
Discriminative Transfer Learning with Tree-based Priors
Nitish Srivastava, Ruslan Salakhutdinov
Distributed $k$-means and $k$-median Clustering on General Topologies
Maria-Florina F Balcan, Steven Ehrlich, Yingyu Liang
Distributed Exploration in Multi-Armed Bandits
Eshcar Hillel, Zohar S Karnin, Tomer Koren et al.
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen et al.
Distributed Submodular Maximization: Identifying Representative Elements in Massive Data
Baharan Mirzasoleiman, Amin Karbasi, Rik Sarkar et al.
Documents as multiple overlapping windows into grids of counts
Alessandro Perina, Nebojsa Jojic, Manuele Bicego et al.
Dropout Training as Adaptive Regularization
Stefan Wager, Sida Wang, Percy Liang
Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture
Trevor Campbell, Miao Liu, Brian Kulis et al.
EDML for Learning Parameters in Directed and Undirected Graphical Models
Khaled S Refaat, Arthur Choi, Adnan Darwiche
Efficient Algorithm for Privately Releasing Smooth Queries
Ziteng Wang, Kai Fan, Jiaqi Zhang et al.
Efficient Exploration and Value Function Generalization in Deterministic Systems
Zheng Wen, Benjamin Van Roy
Efficient Online Inference for Bayesian Nonparametric Relational Models
Dae Il Kim, Prem Gopalan, David Blei et al.