Papers
DECOrrelated feature space partitioning for distributed sparse regression
Xiangyu Wang, David B Dunson, Chenlei Leng
Deep ADMM-Net for Compressive Sensing MRI
yan yang, Jian Sun, Huibin Li et al.
Deep Alternative Neural Network: Exploring Contexts as Early as Possible for Action Recognition
Jinzhuo Wang, Wenmin Wang, xiongtao Chen et al.
Deep Exploration via Bootstrapped DQN
Ian Osband, Charles Blundell, Alexander Pritzel et al.
Deep Learning for Predicting Human Strategic Behavior
Jason S Hartford, James R Wright, Kevin Leyton-Brown
Deep Learning Games
Dale Schuurmans, Martin A Zinkevich
Deep Learning Models of the Retinal Response to Natural Scenes
Lane McIntosh, Niru Maheswaranathan, Aran Nayebi et al.
Deep Learning without Poor Local Minima
Kenji Kawaguchi
DeepMath - Deep Sequence Models for Premise Selection
Geoffrey Irving, Christian Szegedy, Alexander A Alemi et al.
Deep Neural Networks with Inexact Matching for Person Re-Identification
Arulkumar Subramaniam, Moitreya Chatterjee, Anurag Mittal
Deep Submodular Functions: Definitions and Learning
Brian W Dolhansky, Jeff A. Bilmes
Dense Associative Memory for Pattern Recognition
Dmitry Krotov, John J. Hopfield
Density Estimation via Discrepancy Based Adaptive Sequential Partition
Dangna Li, Kun Yang, Wing Hung Wong
Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions
Ayan Chakrabarti, Jingyu Shao, Greg Shakhnarovich
Designing smoothing functions for improved worst-case competitive ratio in online optimization
Reza Eghbali, Maryam Fazel
Dialog-based Language Learning
Jason E Weston
Differential Privacy without Sensitivity
Kentaro Minami, HItomi Arai, Issei Sato et al.
Diffusion-Convolutional Neural Networks
James Atwood, Don Towsley
Dimensionality Reduction of Massive Sparse Datasets Using Coresets
Dan Feldman, Mikhail Volkov, Daniela Rus
Dimension-Free Iteration Complexity of Finite Sum Optimization Problems
Yossi Arjevani, Ohad Shamir
DISCO Nets : DISsimilarity COefficients Networks
Diane Bouchacourt, Pawan K Mudigonda, Sebastian Nowozin
Discriminative Gaifman Models
Mathias Niepert
Disease Trajectory Maps
Peter Schulam, Raman Arora
Disentangling factors of variation in deep representation using adversarial training
Michael F Mathieu, Junbo Jake Zhao, Junbo Zhao et al.