Papers
Deep Short Text Classification with Knowledge Powered Attention
Jindong Chen, Yizhou Hu, Jingping Liu et al.
Deep Single-View 3D Object Reconstruction with Visual Hull Embedding
Hanqing Wang, Jiaolong Yang, Wei Liang et al.
DeepSTN+: Context-Aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis
Ziqian Lin, Jie Feng, Ziyang Lu et al.
DeepTileBars: Visualizing Term Distribution for Neural Information Retrieval
Zhiwen Tang, Grace Hui Yang
Deep Transformation Method for Discriminant Analysis of Multi-Channel Resting State fMRI
Abhay M S Aradhya, Aditya Joglekar, Sundaram Suresh et al.
Deep Video Frame Interpolation Using Cyclic Frame Generation
Yu-Lun Liu, Yi-Tung Liao, Yen-Yu Lin et al.
Defending Elections against Malicious Spread of Misinformation
Bryan Wilder, Yevgeniy Vorobeychik
DEFSI: Deep Learning Based Epidemic Forecasting with Synthetic Information
Lijing Wang, Jiangzhuo Chen, Madhav Marathe
Deictic Image Mapping: An Abstraction for Learning Pose Invariant Manipulation Policies
Robert Platt, Colin Kohler, Marcus Gualtieri
Deliberate Attention Networks for Image Captioning
Lianli Gao, Kaixuan Fan, Jingkuan Song et al.
Demo: Learning to Perceive Long-Range Obstacles Using Self-Supervision from Short-Range Sensors
Mirko Nava, Jérôme Guzzi, R. Omar Chavez-Garcia et al.
Densely Supervised Grasp Detector (DSGD)
Umar Asif, Jianbin Tang, Stefan Harrer
Dependency Grammar Induction with a Neural Variational Transition-Based Parser
Bowen Li, Jianpeng Cheng, Yang Liu et al.
Dependency or Span, End-to-End Uniform Semantic Role Labeling
Zuchao Li, Shexia He, Hai Zhao et al.
Depth Prediction without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos
Vincent Casser, Soeren Pirk, Reza Mahjourian et al.
Depthwise Convolution Is All You Need for Learning Multiple Visual Domains
Yunhui Guo, Yandong Li, Liqiang Wang et al.
Deriving Subgoals Autonomously to Accelerate Learning in Sparse Reward Domains
Michael Dann, Fabio Zambetta, John Thangarajah
DeRPN: Taking a Further Step toward More General Object Detection
Lele Xie, Yuliang Liu, Lianwen Jin et al.
Desiderata for Interpretability: Explaining Decision Tree Predictions with Counterfactuals
Kacper Sokol, Peter Flach
Detecting Incongruity between News Headline and Body Text via a Deep Hierarchical Encoder
Seunghyun Yoon, Kunwoo Park, Joongbo Shin et al.
Detect or Track: Towards Cost-Effective Video Object Detection/Tracking
Hao Luo, Wenxuan Xie, Xinggang Wang et al.
Determinantal Reinforcement Learning
Takayuki Osogami, Rudy Raymond
Determining Solvability in the Birds of a Feather Card Game
Shuto Araki, Juan Pablo Arenas Uribe, Zach Wilkerson et al.
Devil in the Details: Towards Accurate Single and Multiple Human Parsing
Tao Ruan, Ting Liu, Zilong Huang et al.