Papers
Domain Separation Networks
Konstantinos Bousmalis, George Trigeorgis, Nathan Silberman et al.
Don’t Get Caught in the Cold, Warm-up Your JVM: Understand and Eliminate JVM Warm-up Overhead in Data-Parallel Systems
David Lion, Adrian Chiu, Hailong Sun et al.
Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing
Nihar B. Shah, Dengyong Zhou
Double Thompson Sampling for Dueling Bandits
Huasen Wu, Xin Liu
Doubly Convolutional Neural Networks
Shuangfei Zhai, Yu Cheng, Zhongfei (Mark) Zhang et al.
Doubly Decomposing Nonparametric Tensor Regression
Masaaki Imaizumi, Kohei Hayashi
Doubly Robust Off-policy Value Evaluation for Reinforcement Learning
Nan Jiang, Lihong Li
DQBarge: Improving Data-Quality Tradeoffs in Large-Scale Internet Services
Michael Chow, Kaushik Veeraraghavan, Michael Cafarella et al.
DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution Regression
Jovana Mitrovic, Dino Sejdinovic, Yee-Whye Teh
Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation
Søren Hauberg, Oren Freifeld, Anders Boesen Lindbo Larsen et al.
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Yarin Gal, Zoubin Ghahramani
Dropout distillation
Samuel Rota Bulò, Lorenzo Porzi, Peter Kontschieder
Dropping Convexity for Faster Semi-definite Optimization
Srinadh Bhojanapalli, Anastasios Kyrillidis, Sujay Sanghavi
DSA: Decentralized Double Stochastic Averaging Gradient Algorithm
Aryan Mokhtari, Alejandro Ribeiro
Dual Control for Approximate Bayesian Reinforcement Learning
Edgar D. Klenske, Philipp Hennig
Dual Decomposed Learning with Factorwise Oracle for Structural SVM of Large Output Domain
Ian En-Hsu Yen, Xiangru Huang, Kai Zhong et al.
Dual Learning for Machine Translation
Di He, Yingce Xia, Tao Qin et al.
DUAL-LOCO: Distributing Statistical Estimation Using Random Projections
Christina Heinze, Brian McWilliams, Nicolai Meinshausen
Dual Space Gradient Descent for Online Learning
Trung Le, Tu Nguyen, Vu Nguyen et al.
Dueling Bandits: Beyond Condorcet Winners to General Tournament Solutions
Siddartha Y. Ramamohan, Arun Rajkumar, Shivani Agarwal et al.
Dueling Network Architectures for Deep Reinforcement Learning
Ziyu Wang, Tom Schaul, Matteo Hessel et al.
d-VMP: Distributed Variational Message Passing
Andrés R. Masegosa, Ana M. Martı́nez, Helge Langseth et al.
Dynamic Capacity Networks
Amjad Almahairi, Nicolas Ballas, Tim Cooijmans et al.
Dynamic Filter Networks
Xu Jia, Bert De Brabandere, Tinne Tuytelaars et al.
Dynamic Generative model for Diachronic Sense Emergence Detection
Martin Emms, Arun Kumar Jayapal