Papers
Doubly Decomposing Nonparametric Tensor Regression
Masaaki Imaizumi, Kohei Hayashi
Doubly Robust Off-policy Value Evaluation for Reinforcement Learning
Nan Jiang, Lihong Li
Do We Really Need All Those Rich Linguistic Features? A Neural Network-Based Approach to Implicit Sense Labeling
Niko Schenk, Christian Chiarcos, Kathrin Donandt et al.
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.
Driver Frustration Detection from Audio and Video in the Wild
Irman Abdić, Lex Fridman, Daniel McDuff et al.
DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks
Jie Fu, Hongyin Luo, Jiashi Feng et al.
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Yarin Gal, Zoubin Ghahramani
Drop-out Conditional Random Fields for Twitter with Huge Mined Gazetteer
Eunsuk Yang, Young-Bum Kim, Ruhi Sarikaya et al.
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
DSIC-ELIRF at SemEval-2016 Task 4: Message Polarity Classification in Twitter using a Support Vector Machine Approach
Víctor Martinez Morant, LLuís-F. Hurtado, Ferran Pla
DTSim at SemEval-2016 Task 1: Semantic Similarity Model Including Multi-Level Alignment and Vector-Based Compositional Semantics
Rajendra Banjade, Nabin Maharjan, Dipesh Gautam et al.
DTSim at SemEval-2016 Task 2: Interpreting Similarity of Texts Based on Automated Chunking, Chunk Alignment and Semantic Relation Prediction
Rajendra Banjade, Nabin Maharjan, Nobal Bikram Niraula et al.
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-Memory Deep Learning Architectures for Lifelong Learning of Everyday Human Behaviors
Sang-Woo Lee, Chung-Yeon Lee, Dong Hyun Kwak et al.
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.