Papers
Doubly Robust Joint Learning for Recommendation on Data Missing Not at Random
Xiaojie Wang, Rui Zhang, Yu Sun et al.
Doubly-Robust Lasso Bandit
Gi-Soo Kim, Myunghee Cho Paik
Doubly Semi-Implicit Variational Inference
Dmitry Molchanov, Valery Kharitonov, Artem Sobolev et al.
Douglas-Rachford Networks: Learning Both the Image Prior and Data Fidelity Terms for Blind Image Deconvolution
Raied Aljadaany, Dipan K. Pal, Marios Savvides
Do We Need Many-valued Logics for Incomplete Information?
Marco Console, Paolo Guagliardo, Leonid Libkin
Do We Really Need Fully Unsupervised Cross-Lingual Embeddings?
Ivan Vulić, Goran Glavaš, Roi Reichart et al.
Do We Really Need Fully Unsupervised Cross-Lingual Embeddings?
Ivan Vulić, Goran Glavaš, Roi Reichart et al.
Do You Know That Florence Is Packed with Visitors? Evaluating State-of-the-art Models of Speaker Commitment
Nanjiang Jiang, Marie-Catherine de Marneffe
Do You Need Infinite Time?
Alessandro Artale, Andrea Mazzullo, Ana Ozaki
DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures
Andrew Lawrence, Carl Henrik Ek, Neill Campbell
DPOD: 6D Pose Object Detector and Refiner
Sergey Zakharov, Ivan Shugurov, Slobodan Ilic
DppNet: Approximating Determinantal Point Processes with Deep Networks
Zelda E. Mariet, Yaniv Ovadia, Jasper Snoek
DPPy: DPP Sampling with Python
Guillaume Gautier, Guillermo Polito, Rémi Bardenet et al.
DPSNet: End-to-end Deep Plane Sweep Stereo
Sunghoon Im, Hae-Gon Jeon, Stephen Lin et al.
Dreaddit: A Reddit Dataset for Stress Analysis in Social Media
Elsbeth Turcan, Kathy McKeown
Drill-down: Interactive Retrieval of Complex Scenes using Natural Language Queries
Fuwen Tan, Paola Cascante-Bonilla, Xiaoxiao Guo et al.
Drive&Act: A Multi-Modal Dataset for Fine-Grained Driver Behavior Recognition in Autonomous Vehicles
Manuel Martin, Alina Roitberg, Monica Haurilet et al.
DrivingStereo: A Large-Scale Dataset for Stereo Matching in Autonomous Driving Scenarios
Guorun Yang, Xiao Song, Chaoqin Huang et al.
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolution
Yunpeng Chen, Haoqi Fan, Bing Xu et al.
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs
Dheeru Dua, Yizhong Wang, Pradeep Dasigi et al.
Dropout as a Structured Shrinkage Prior
Eric Nalisnick, Jose Miguel Hernandez-Lobato, Padhraic Smyth
Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation
Seungmin Lee, Dongwan Kim, Namil Kim et al.
Dr.Quad at MEDIQA 2019: Towards Textual Inference and Question Entailment using contextualized representations
Vinayshekhar Bannihatti Kumar, Ashwin Srinivasan, Aditi Chaudhary et al.
DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching
Kun Zhang, Guangyi Lv, Linyuan Wang et al.
DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs
Ali Sadeghian, Mohammadreza Armandpour, Patrick Ding et al.