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• How Does Knowledge of the AUC Constrain the Set of Possible Ground-Truth Labelings?

  Jacob Whitehill

  5425-5432

  2019-07-17

• Uncovering Specific-Shape Graph Anomalies in Attributed Graphs

  Nannan Wu, Wenjun Wang, Feng Chen, Jianxin Li, Bo Li, Jinpeng Huai

  5433-5440

  2019-07-17

• Point Cloud Processing via Recurrent Set Encoding

  Pengxiang Wu, Chao Chen, Jingru Yi, Dimitris Metaxas

  5441-5449

  2019-07-17

• Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks

  Si Wu, Jian Zhong, Wenming Cao, Rui Li, Zhiwen Yu, Hau-San Wong

  5450-5457

  2019-07-17

• Modelling of Bi-Directional Spatio-Temporal Dependence and Users’ Dynamic Preferences for Missing POI Check-In Identification

  Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He

  5458-5465

  2019-07-17

• Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder

  Yingce Xia, Tianyu He, Xu Tan, Fei Tian, Di He, Tao Qin

  5466-5473

  2019-07-17

• Bayesian Deep Collaborative Matrix Factorization

  Teng Xiao, Shangsong Liang, Weizhou Shen, Zaiqiao Meng

  5474-5481

  2019-07-17

• RS3CIS: Robust Single-Step Spectral Clustering with Intrinsic Subspace

  Yun Xiao, Pengzhen Ren, Zhihui Li, Xiaojiang Chen, Xin Wang, Dingyi Fang

  5482-5489

  2019-07-17

• Understanding Persuasion Cascades in Online Product Rating Systems

  Hong Xie, Yongkun Li, John C.S. Lui

  5490-5497

  2019-07-17

• Multi-View Multi-Instance Multi-Label Learning Based on Collaborative Matrix Factorization

  Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang, Maozu Guo

  5508-5515

  2019-07-17

• SpHMC: Spectral Hamiltonian Monte Carlo

  Haoyi Xiong, Kafeng Wang, Jiang Bian, Zhanxing Zhu, Cheng-Zhong Xu, Zhishan Guo, Jun Huan

  5516-5524

  2019-07-17

• Modeling Local Dependence in Natural Language with Multi-Channel Recurrent Neural Networks

  Chang Xu, Weiran Huang, Hongwei Wang, Gang Wang, Tie-Yan Liu

  5525-5532

  2019-07-17

• Hierarchical Classification Based on Label Distribution Learning

  Changdong Xu, Xin Geng

  5533-5540

  2019-07-17

• Embedding-Based Complex Feature Value Coupling Learning for Detecting Outliers in Non-IID Categorical Data

  Hongzuo Xu, Yongjun Wang, Zhiyue Wu, Yijie Wang

  5541-5548

  2019-07-17

• Dueling Bandits with Qualitative Feedback

  Liyuan Xu, Junya Honda, Masashi Sugiyama

  5549-5556

  2019-07-17

• Partial Label Learning via Label Enhancement

  Ning Xu, Jiaqi Lv, Xin Geng

  5557-5564

  2019-07-17

• Data-Distortion Guided Self-Distillation for Deep Neural Networks

  Ting-Bing Xu, Cheng-Lin Liu

  5565-5572

  2019-07-17

• Task-Driven Common Representation Learning via Bridge Neural Network

  Yao Xu, Xueshuang Xiang, Meiyu Huang

  5573-5580

  2019-07-17

• Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation

  Yonghao Xu, Bo Du, Lefei Zhang, Qian Zhang, Guoli Wang, Liangpei Zhang

  5581-5588

  2019-07-17

• Active Learning of Multi-Class Classification Models from Ordered Class Sets

  Yanbing Xue, Milos Hauskrecht

  5589-5596

  2019-07-17

• Frame and Feature-Context Video Super-Resolution

  Bo Yan, Chuming Lin, Weimin Tan

  5597-5604

  2019-07-17

• Oversampling for Imbalanced Data via Optimal Transport

  Yuguang Yan, Mingkui Tan, Yanwu Xu, Jiezhang Cao, Michael Ng, Huaqing Min, Qingyao Wu

  5605-5612

  2019-07-17

• Cross-Domain Visual Representations via Unsupervised Graph Alignment

  Baoyao Yang, Pong C. Yuen

  5613-5620

  2019-07-17

• Weighted Oblique Decision Trees

  Bin-Bin Yang, Song-Qing Shen, Wei Gao

  5621-5627

  2019-07-17

• Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better Students

  Chenglin Yang, Lingxi Xie, Siyuan Qiao, Alan L. Yuille

  5628-5635

  2019-07-17