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• Multi-Winner Contests for Strategic Diffusion in Social Networks

  Wen Shen, Yang Feng, Cristina V. Lopes

  6154-6162

  2019-07-17

• Theory of Minds: Understanding Behavior in Groups through Inverse Planning

  Michael Shum, Max Kleiman-Weiner, Michael L. Littman, Joshua B. Tenenbaum

  6163-6170

  2019-07-17

• Multiagent Decision Making For Maritime Traffic Management

  Arambam James Singh, Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau

  6171-6178

  2019-07-17

• Probabilistic Alternating-Time µ-Calculus

  Fu Song, Yedi Zhang, Taolue Chen, Yu Tang, Zhiwu Xu

  6179-6186

  2019-07-17

• Model-Free IRL Using Maximum Likelihood Estimation

  Vinamra Jain, Prashant Doshi, Bikramjit Banerjee

  3951-3958

  2019-07-17

• Classification with Costly Features Using Deep Reinforcement Learning

  Jaromír Janisch, Tomáš Pevný, Viliam Lisý

  3959-3966

  2019-07-17

• Tile2Vec: Unsupervised Representation Learning for Spatially Distributed Data

  Neal Jean, Sherrie Wang, Anshul Samar, George Azzari, David Lobell, Stefano Ermon

  3967-3974

  2019-07-17

• Multi-Dimensional Classification via kNN Feature Augmentation

  Bin-Bin Jia, Min-Ling Zhang

  3975-3982

  2019-07-17

• Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach

  Bingbing Jiang, Xingyu Wu, Kui Yu, Huanhuan Chen

  3983-3990

  2019-07-17

• Fast Incremental SVDD Learning Algorithm with the Gaussian Kernel

  Hansi Jiang, Haoyu Wang, Wenhao Hu, Deovrat Kakde, Arin Chaudhuri

  3991-3998

  2019-07-17

• Non-Asymptotic Uniform Rates of Consistency for k-NN Regression

  Heinrich Jiang

  3999-4006

  2019-07-17

• Gaussian-Induced Convolution for Graphs

  Jiatao Jiang, Zhen Cui, Chunyan Xu, Jian Yang

  4007-4014

  2019-07-17

• SCFont: Structure-Guided Chinese Font Generation via Deep Stacked Networks

  Yue Jiang, Zhouhui Lian, Yingmin Tang, Jianguo Xiao

  4015-4022

  2019-07-17

• Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective

  Binbin Jin, Hongke Zhao, Enhong Chen, Qi Liu, Yong Ge

  4023-4030

  2019-07-17

• DoPAMINE: Double-Sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling

  Sunghwan Joo, Sungmin Cha, Taesup Moon

  4031-4038

  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

• Guided Dropout

  Rohit Keshari, Richa Singh, Mayank Vatsa

  4065-4072

  2019-07-17

• Mixture of Expert/Imitator Networks: Scalable Semi-Supervised Learning Framework

  Shun Kiyono, Jun Suzuki, Kentaro Inui

  4073-4081

  2019-07-17

• Exploiting Class Learnability in Noisy Data

  Matthew Klawonn, Eric Heim, James Hendler

  4082-4089

  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

• On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters

  Mark Kozdoba, Jakub Marecek, Tigran Tchrakian, Shie Mannor

  4098-4105

  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

• Multi-Source Neural Variational Inference

  Richard Kurle, Stephan Günnemann, Patrick van der Smagt

  4114-4121

  2019-07-17

• Unsupervised Domain Adaptation Based on Source-Guided Discrepancy

  Seiichi Kuroki, Nontawat Charoenphakdee, Han Bao, Junya Honda, Issei Sato, Masashi Sugiyama

  4122-4129

  2019-07-17