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• Gaussian-Induced Convolution for Graphs

  Jiatao Jiang, Zhen Cui, Chunyan Xu, Jian Yang

  4007-4014

  2019-07-17

• Dimension-Free Error Bounds from Random Projections

  Ata Kabán

  4049-4056

  2019-07-17

• Similarity Learning via Kernel Preserving Embedding

  Zhao Kang, Yiwei Lu, Yuanzhang Su, Changsheng Li, Zenglin Xu

  4057-4064

  2019-07-17

• Active Generative Adversarial Network for Image Classification

  Quan Kong, Bin Tong, Martin Klinkigt, Yuki Watanabe, Naoto Akira, Tomokazu Murakami

  4090-4097

  2019-07-17

• Unsupervised Domain Adaptation by Matching Distributions Based on the Maximum Mean Discrepancy via Unilateral Transformations

  Atsutoshi Kumagai, Tomoharu Iwata

  4106-4113

  2019-07-17

• Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification

  Zheng Li, Ying Wei, Yu Zhang, Xiang Zhang, Xin Li

  4253-4260

  2019-07-17

• Block Belief Propagation for Parameter Learning in Markov Random Fields

  You Lu, Zhiyuan Liu, Bert Huang

  4448-4455

  2019-07-17

• A Comparative Analysis of Expected and Distributional Reinforcement Learning

  Clare Lyle, Marc G. Bellemare, Pablo Samuel Castro

  4504-4511

  2019-07-17

• Towards Better Interpretability in Deep Q-Networks

  Raghuram Mandyam Annasamy, Katia Sycara

  4561-4569

  2019-07-17

• Cost-Sensitive Learning to Rank

  Ryan McBride, Ke Wang, Zhouyang Ren, Wenyuan Li

  4570-4577

  2019-07-17

• Interpretable Preference Learning: A Game Theoretic Framework for Large Margin On-Line Feature and Rule Learning

  Mirko Polato, Fabio Aiolli

  4723-4730

  2019-07-17

• Robust Optimization over Multiple Domains

  Qi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li

  4739-4746

  2019-07-17

• On Fair Cost Sharing Games in Machine Learning

  Ievgen Redko, Charlotte Laclau

  4790-4797

  2019-07-17

• An Integral Tag Recommendation Model for Textual Content

  Shijie Tang, Yuan Yao, Suwei Zhang, Feng Xu, Tianxiao Gu, Hanghang Tong, Xiaohui Yan, Jian Lu

  5109-5116

  2019-07-17

• Theoretical Analysis of Label Distribution Learning

  Jing Wang, Xin Geng

  5256-5263

  2019-07-17

• SVM-Based Deep Stacking Networks

  Jingyuan Wang, Kai Feng, Junjie Wu

  5273-5280

  2019-07-17

• Bayesian Deep Collaborative Matrix Factorization

  Teng Xiao, Shangsong Liang, Weizhou Shen, Zaiqiao Meng

  5474-5481

  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

• Learning Uniform Semantic Features for Natural Language and Programming Language Globally, Locally and Sequentially

  Yudong Zhang, Wenhao Zheng, Ming Li

  5845-5852

  2019-07-17

• Self-Adversarially Learned Bayesian Sampling

  Yang Zhao, Jianyi Zhang, Changyou Chen

  5893-5900

  2019-07-17

• Biomedical Image Segmentation via Representative Annotation

  Hao Zheng, Lin Yang, Jianxu Chen, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen

  5901-5908

  2019-07-17

• Residual Invertible Spatio-Temporal Network for Video Super-Resolution

  Xiaobin Zhu, Zhuangzi Li, Xiao-Yu Zhang, Changsheng Li, Yaqi Liu, Ziyu Xue

  5981-5988

  2019-07-17

• Automatic Bayesian Density Analysis

  Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting, Isabel Valera

  5207-5215

  2019-07-17

• Relaxing and Restraining Queries for OBDA

  Medina Andreşel, Yazmín Ibáñez-García, Magdalena Ortiz, Mantas Šimkus

  2654-2661

  2019-07-17

• Argumentation for Explainable Scheduling

  Kristijonas Čyras, Dimitrios Letsios, Ruth Misener, Francesca Toni

  2752-2759

  2019-07-17