Papers
Dependency-Guided LSTM-CRF for Named Entity Recognition
Zhanming Jie, Wei Lu
Dependency-Guided LSTM-CRF for Named Entity Recognition
Zhanming Jie, Wei Lu
Dependency or Span, End-to-End Uniform Semantic Role Labeling
Zuchao Li, Shexia He, Hai Zhao et al.
Dependency Parsing for Spoken Dialog Systems
Sam Davidson, Dian Yu, Zhou Yu
Dependency Parsing for Spoken Dialog Systems
Sam Davidson, Dian Yu, Zhou Yu
Dependency Parsing with your Eyes: Dependency Structure Predicts Eye Regressions During Reading
Alessandro Lopopolo, Stefan L. Frank, Antal van den Bosch et al.
Dependency Tree Annotation with Mechanical Turk
Stephen Tratz
Dependent relevance determination for smooth and structured sparse regression
Anqi Wu, Oluwasanmi Koyejo, Jonathan Pillow
Depression State Assessment: Application for Detection of Depression by Speech
Gábor Kiss, Dávid Sztahó, Klára Vicsi
Depth-Attentional Features for Single-Image Rain Removal
Xiaowei Hu, Chi-Wing Fu, Lei Zhu et al.
Depth-Aware Video Frame Interpolation
Wenbo Bao, Wei-Sheng Lai, Chao Ma et al.
Depth Coefficients for Depth Completion
Saif Imran, Yunfei Long, Xiaoming Liu et al.
Depth Completion From Sparse LiDAR Data With Depth-Normal Constraints
Yan Xu, Xinge Zhu, Jianping Shi et al.
Depth-First Memory-Limited AND/OR Search and Unsolvability in Cyclic Search Spaces
Akihiro Kishimoto, Adi Botea, Radu Marinescu
Depth-First Proof-Number Search with Heuristic Edge Cost and Application to Chemical Synthesis Planning
Akihiro Kishimoto, Beat Buesser, Bei Chen et al.
Depth From a Polarisation + RGB Stereo Pair
Dizhong Zhu, William A. P. Smith
Depth From Videos in the Wild: Unsupervised Monocular Depth Learning From Unknown Cameras
Ariel Gordon, Hanhan Li, Rico Jonschkowski et al.
Depth Growing for Neural Machine Translation
Lijun Wu, Yiren Wang, Yingce Xia et al.
Depth-Induced Multi-Scale Recurrent Attention Network for Saliency Detection
Yongri Piao, Wei Ji, Jingjing Li et al.
Depth Prediction without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos
Vincent Casser, Soeren Pirk, Reza Mahjourian et al.
Depth Separations in Neural Networks: What is Actually Being Separated?
Itay Safran, Ronen Eldan, Ohad Shamir
Depthwise Convolution Is All You Need for Learning Multiple Visual Domains
Yunhui Guo, Yandong Li, Liqiang Wang et al.
Derivational Morphological Relations in Word Embeddings
Tomáš Musil, Jonáš Vidra, David Mareček
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems
Dhruv Malik, Ashwin Pananjady, Kush Bhatia et al.