Papers
Discriminative and Robust Online Learning for Siamese Visual Tracking
Jinghao Zhou, Peng Wang, Haoyang Sun
Discriminative Sentence Modeling for Story Ending Prediction
Yiming Cui, Wanxiang Che, Wei-Nan Zhang et al.
Distance-Based Equilibria in Normal-Form Games
Erman Acar, Reshef Meir
Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression
Zhaohui Zheng, Ping Wang, Wei Liu et al.
Distill BERT to Traditional Models in Chinese Machine Reading Comprehension (Student Abstract)
Xingkai Ren, Ronghua Shi, Fangfang Li
Distilling Knowledge from Well-Informed Soft Labels for Neural Relation Extraction
Zhenyu Zhang, Xiaobo Shu, Bowen Yu et al.
Distilling Portable Generative Adversarial Networks for Image Translation
Hanting Chen, Yunhe Wang, Han Shu et al.
Distraction-Aware Feature Learning for Human Attribute Recognition via Coarse-to-Fine Attention Mechanism
Mingda Wu, Di Huang, Yuanfang Guo et al.
Distributed Machine Learning through Heterogeneous Edge Systems
Hanpeng Hu, Dan Wang, Chuan Wu
Distributed Primal-Dual Optimization for Online Multi-Task Learning
Peng Yang, Ping Li
Distributed Representations for Arithmetic Word Problems
Sowmya S Sundaram, Deepak P, Savitha Sam Abraham
Distributed Stochastic Gradient Descent with Event-Triggered Communication
Jemin George, Prudhvi Gurram
Distributionally Robust Counterfactual Risk Minimization
Louis Faury, Ugo Tanielian, Elvis Dohmatob et al.
Diversified Bayesian Nonnegative Matrix Factorization
Qiao Maoying, Yu Jun, Liu Tongliang et al.
Diversified Interactive Recommendation with Implicit Feedback
Yong Liu, Yingtai Xiao, Qiong Wu et al.
Diversity Transfer Network for Few-Shot Learning
Mengting Chen, Yuxin Fang, Xinggang Wang et al.
Divide-and-Conquer Learning with Nyström: Optimal Rate and Algorithm
Rong Yin, Yong Liu, Lijing Lu et al.
Divide and Conquer: Question-Guided Spatio-Temporal Contextual Attention for Video Question Answering
Jianwen Jiang, Ziqiang Chen, Haojie Lin et al.
DMRM: A Dual-Channel Multi-Hop Reasoning Model for Visual Dialog
Feilong Chen, Fandong Meng, Jiaming Xu et al.
DNNs as Layers of Cooperating Classifiers
Marelie Davel, Marthinus Theunissen, Arnold Pretorius et al.
Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment
Siddharth Biswal, Cao Xiao, Lucas M. Glass et al.
Document Summarization with VHTM: Variational Hierarchical Topic-Aware Mechanism
Xiyan Fu, Jun Wang, Jinghan Zhang et al.
Does Speech Enhancement of Publicly Available Data Help Build Robust Speech Recognition Systems? (Student Abstract)
Bhavya Ghai, Buvana Ramanan, Klaus Mueller
Domain Adaptive Attention Learning for Unsupervised Person Re-Identification
Yangru Huang, Peixi Peng, Yi Jin et al.
Domain Conditioned Adaptation Network
Shuang Li, Chi Liu, Qiuxia Lin et al.