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• Combining Deep Learning and Qualitative Spatial Reasoning to Learn Complex Structures from Sparse Examples with Noise

  Nikhil Krishnaswamy, Scott Friedman, James Pustejovsky

  2911-2918

  2019-07-17

• Implanting Rational Knowledge into Distributed Representation at Morpheme Level

  Zi Lin, Yang Liu

  2954-2961

  2019-07-17

• State Abstraction as Compression in Apprenticeship Learning

  David Abel, Dilip Arumugam, Kavosh Asadi, Yuu Jinnai, Michael L. Littman, Lawson L.S. Wong

  3134-3142

  2019-07-17

• Enhanced Random Forest Algorithms for Partially Monotone Ordinal Classification

  Christopher Bartley, Wei Liu, Mark Reynolds

  3224-3231

  2019-07-17

• Learning Segmentation Masks with the Independence Prior

  Songmin Dai, Xiaoqiang Li, Lu Wang, Pin Wu, Weiqin Tong, Yimin Chen

  3429-3436

  2019-07-17

• Balanced Linear Contextual Bandits

  Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens

  3445-3453

  2019-07-17

• Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation

  Lijie Fan, Wenbing Huang, Chuang Gan, Junzhou Huang, Boqing Gong

  3510-3517

  2019-07-17

• Bayesian Posterior Approximation via Greedy Particle Optimization

  Futoshi Futami, Zhenghang Cui, Issei Sato, Masashi Sugiyama

  3606-3613

  2019-07-17

• Explainable Recommendation through Attentive Multi-View Learning

  Jingyue Gao, Xiting Wang, Yasha Wang, Xing Xie

  3622-3629

  2019-07-17

• Eliminating Latent Discrimination: Train Then Mask

  Soheil Ghili, Ehsan Kazemi, Amin Karbasi

  3672-3680

  2019-07-17

• Smooth Deep Image Generator from Noises

  Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao

  3731-3738

  2019-07-17

• Distributional Semantics Meets Multi-Label Learning

  Vivek Gupta, Rahul Wadbude, Nagarajan Natarajan, Harish Karnick, Prateek Jain, Piyush Rai

  3747-3754

  2019-07-17

• Efficient and Scalable Multi-Task Regression on Massive Number of Tasks

  Xiao He, Francesco Alesiani, Ammar Shaker

  3763-3770

  2019-07-17

• Interaction-Aware Factorization Machines for Recommender Systems

  Fuxing Hong, Dongbo Huang, Ge Chen

  3804-3811

  2019-07-17

• Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing

  Hanzhang Hu, Debadeepta Dey, Martial Hebert, J. Andrew Bagnell

  3812-3821

  2019-07-17

• Large-Scale Heterogeneous Feature Embedding

  Xiao Huang, Qingquan Song, Fan Yang, Xia Hu

  3878-3885

  2019-07-17

• Manifold-Valued Image Generation with Wasserstein Generative Adversarial Nets

  Zhiwu Huang, Jiqing Wu, Luc Van Gool

  3886-3893

  2019-07-17

• Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction

  Akira Imakura, Momo Matsuda, Xiucai Ye, Tetsuya Sakurai

  3910-3918

  2019-07-17

• Evaluating Recommender System Stability with Influence-Guided Fuzzing

  David Shriver, Sebastian Elbaum, Matthew B. Dwyer, David S. Rosenblum

  4934-4942

  2019-07-17

• Transferable Attention for Domain Adaptation

  Ximei Wang, Liang Li, Weirui Ye, Mingsheng Long, Jianmin Wang

  5345-5352

  2019-07-17

• 3D Face Synthesis Driven by Personality Impression

  Yining Lang, Wei Liang, Yujia Wang, Lap-Fai Yu

  1707-1714

  2019-07-17

• Learning to Write Stories with Thematic Consistency and Wording Novelty

  Juntao Li, Lidong Bing, Lisong Qiu, Dongmin Chen, Dongyan Zhao, Rui Yan

  1715-1722

  2019-07-17

• From Recommendation Systems to Facility Location Games

  Omer Ben-Porat, Gregory Goren, Itay Rosenberg, Moshe Tennenholtz

  1772-1779

  2019-07-17

• Solving Partially Observable Stochastic Games with Public Observations

  Karel Horák, Branislav Bošanský

  2029-2036

  2019-07-17

• CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions

  Sicheng Zhao, Chuang Lin, Pengfei Xu, Sendong Zhao, Yuchen Guo, Ravi Krishna, Guiguang Ding, Kurt Keutzer

  2620-2627

  2019-07-17