Papers
Dynamics Are Important for the Recognition of Equine Pain in Video
Sofia Broome, Karina Bech Gleerup, Pia Haubro Andersen et al.
Dynamic Scene Deblurring With Parameter Selective Sharing and Nested Skip Connections
Hongyun Gao, Xin Tao, Xiaoyong Shen et al.
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation
Kuan Fang, Yuke Zhu, Animesh Garg et al.
Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup
Sebastian Goldt, Madhu Advani, Andrew M Saxe et al.
Dynamic Sparse Graph for Efficient Deep Learning
Liu Liu, Lei Deng, Xing Hu et al.
Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting
Zulong Diao, Xin Wang, Dafang Zhang et al.
Dynamic Trip-Vehicle Dispatch with Scheduled and On-Demand Requests
Taoan Huang, Bohui Fang, Xiaohui Bei et al.
Dynamic Vehicle Traffic Control Using Deep Reinforcement Learning in Automated Material Handling System
Younkook Kang, Sungwon Lyu, Jeeyung Kim et al.
Dynamic Weights in Multi-Objective Deep Reinforcement Learning
Axel Abels, Diederik Roijers, Tom Lenaerts et al.
DynamoNet: Dynamic Action and Motion Network
Ali Diba, Vivek Sharma, Luc Van Gool et al.
DynTypo: Example-Based Dynamic Text Effects Transfer
Yifang Men, Zhouhui Lian, Yingmin Tang et al.
Dyr Bul Shchyl. Proxying Sound Symbolism With Word Embeddings
Ivan P. Yamshchikov, Viascheslav Shibaev, Alexey Tikhonov
DyRep: Learning Representations over Dynamic Graphs
Rakshit Trivedi, Mehrdad Farajtabar, Prasenjeet Biswal et al.
DyS: A Framework for Mixture Models in Quantification
André Maletzke, Denis dos Reis, Everton Cherman et al.
E²GAN: End-to-End Generative Adversarial Network for Multivariate Time Series Imputation
Yonghong Luo, Ying Zhang, Xiangrui Cai et al.
E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings
Yue Wang, Ziyu Jiang, Xiaohan Chen et al.
E3: Entailment-driven Extracting and Editing for Conversational Machine Reading
Victor Zhong, Luke Zettlemoyer
EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks
Sheng-Wei Chen, Chun-Nan Chou, Edward Y. Chang
Earlier Attention? Aspect-Aware LSTM for Aspect-Based Sentiment Analysis
Bowen Xing, Lejian Liao, Dandan Song et al.
Earlier Isn’t Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization
Taehee Jung, Dongyeop Kang, Lucas Mentch et al.
Earlier Isn’t Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization
Taehee Jung, Dongyeop Kang, Lucas Mentch et al.
Earliest-Completion Scheduling of Contract Algorithms with End Guarantees
Spyros Angelopoulos, Shendan Jin
Early Detection of Vacant Parking Spaces Using Dashcam Videos
Ming-Che Wu, Mei-Chen Yeh
Early Discovery of Emerging Entities in Microblogs
Satoshi Akasaki, Naoki Yoshinaga, Masashi Toyoda