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• Generating Music Medleys via Playing Music Puzzle Games

  Yu-Siang Huang, Szu-Yu Chou, Yi-Hsuan Yang

  2018-04-26

• DeepHit: A Deep Learning Approach to Survival Analysis With Competing Risks

  Changhee Lee, William Zame, Jinsung Yoon, Mihaela van der Schaar

  2018-04-26

• Deep-Treat: Learning Optimal Personalized Treatments From Observational Data Using Neural Networks

  Onur Atan, James Jordon, Mihaela van der Schaar

  2018-04-26

• Hybrid Attentive Answer Selection in CQA With Deep Users Modelling

  Jiahui Wen, Jingwei Ma, Yiliu Feng, Mingyang Zhong

  2018-04-26

• Compatibility Family Learning for Item Recommendation and Generation

  Yong-Siang Shih, Kai-Yueh Chang, Hsuan-Tien Lin, Min Sun

  2018-04-26

• Data Poisoning Attacks on Multi-Task Relationship Learning

  Mengchen Zhao, Bo An, Yaodong Yu, Sulin Liu, Sinno Pan

  2018-04-26

• Sequence-to-Sequence Learning via Shared Latent Representation

  Xu Shen, Xinmei Tian, Jun Xing, Yong Rui, Dacheng Tao

  2018-04-26

• Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction

  Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li

  2018-04-26

• Collaborative Filtering With Social Exposure: A Modular Approach to Social Recommendation

  Menghan Wang, Xiaolin Zheng, Yang Yang, Kun Zhang

  2018-04-26

• Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching

  Jianwen Xie, Yang Lu, Ruiqi Gao, Ying Nian Wu

  2018-04-29

• Examining CNN Representations With Respect to Dataset Bias

  Quanshi Zhang, Wenguan Wang, Song-Chun Zhu

  2018-04-29

• Gated-Attention Architectures for Task-Oriented Language Grounding

  Devendra Singh Chaplot, Kanthashree Mysore Sathyendra, Rama Kumar Pasumarthi, Dheeraj Rajagopal, Ruslan Salakhutdinov

  2018-04-29

• When Waiting Is Not an Option: Learning Options With a Deliberation Cost

  Jean Harb, Pierre-Luc Bacon, Martin Klissarov, Doina Precup

  2018-04-29

• Bayesian Functional Optimization

  Ngo Anh Vien, Heiko Zimmermann, Marc Toussaint

  2018-04-29

• Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models

  Aditya Grover, Manik Dhar, Stefano Ermon

  2018-04-29

• Detecting Adversarial Examples Through Image Transformation

  Shixin Tian, Guolei Yang, Ying Cai

  2018-04-29

• Boosted Generative Models

  Aditya Grover, Stefano Ermon

  2018-04-29

• Latent Discriminant Subspace Representations for Multi-View Outlier Detection

  Kai Li, Sheng Li, Zhengming Ding, Weidong Zhang, Yun Fu

  2018-04-29

• Algorithms for Generalized Topic Modeling

  Avrim Blum, Nika Haghtalab

  2018-04-29

• Learning Transferable Subspace for Human Motion Segmentation

  Lichen Wang, Zhengming Ding, Yun Fu

  2018-04-29

• Hypergraph p-Laplacian: A Differential Geometry View

  Shota Saito, Danilo Mandic, Hideyuki Suzuki

  2018-04-29

• Deterministic Policy Optimization by Combining Pathwise and Score Function Estimators for Discrete Action Spaces

  Daniel Levy, Stefano Ermon

  2018-04-29

• From Monte Carlo to Las Vegas: Improving Restricted Boltzmann Machine Training Through Stopping Sets

  Pedro Savarese, Mayank Kakodkar, Bruno Ribeiro

  2018-04-29

• A Framework for Multistream Regression With Direct Density Ratio Estimation

  Ahsanul Haque, Hemeng Tao, Swarup Chandra, Jie Liu, Latifur Khan

  2018-04-29

• Interpreting CNN Knowledge via an Explanatory Graph

  Quanshi Zhang, Ruiming Cao, Feng Shi, Ying Nian Wu, Song-Chun Zhu

  2018-04-29