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• Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently

  Dan Liu, Dawei Du, Libo Zhang, Tiejian Luo, Yanjun Wu, Feiyue Huang, Siwei Lyu

  4344-4351

  2019-07-17

• Trust Region Evolution Strategies

  Guoqing Liu, Li Zhao, Feidiao Yang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu

  4352-4359

  2019-07-17

• Learning Multi-Task Communication with Message Passing for Sequence Learning

  Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu, Jackie Chi Kit Cheung

  4360-4367

  2019-07-17

• A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI

  Risheng Liu, Yuxi Zhang, Shichao Cheng, Xin Fan, Zhongxuan Luo

  4368-4375

  2019-07-17

• A Bandit Approach to Maximum Inner Product Search

  Rui Liu, Tianyi Wu, Barzan Mozafari

  4376-4383

  2019-07-17

• The Utility of Sparse Representations for Control in Reinforcement Learning

  Vincent Liu, Raksha Kumaraswamy, Lei Le, Martha White

  4384-4391

  2019-07-17

• Efficient and Effective Incomplete Multi-View Clustering

  Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Chang Tang, En Zhu, Jianping Yin, Wen Gao

  4392-4399

  2019-07-17

• Ranking-Based Deep Cross-Modal Hashing

  Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo

  4400-4407

  2019-07-17

• Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection

  Yanbin Liu, Yan Yan, Ling Chen, Yahong Han, Yi Yang

  4408-4415

  2019-07-17

• Active Sampling for Open-Set Classification without Initial Annotation

  Zhao-Yang Liu, Sheng-Jun Huang

  4416-4423

  2019-07-17

• GeniePath: Graph Neural Networks with Adaptive Receptive Paths

  Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song, Yuan Qi

  4424-4431

  2019-07-17

• Guiding the One-to-One Mapping in CycleGAN via Optimal Transport

  Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu

  4432-4439

  2019-07-17

• Super Sparse Convolutional Neural Networks

  Yao Lu, Guangming Lu, Bob Zhang, Yuanrong Xu, Jinxing Li

  4440-4447

  2019-07-17

• Block Belief Propagation for Parameter Learning in Markov Random Fields

  You Lu, Zhiyuan Liu, Bert Huang

  4448-4455

  2019-07-17

• Relation Structure-Aware Heterogeneous Information Network Embedding

  Yuanfu Lu, Chuan Shi, Linmei Hu, Zhiyuan Liu

  4456-4463

  2019-07-17

• Scaling-Up Split-Merge MCMC with Locality Sensitive Sampling (LSS)

  Chen Luo, Anshumali Shrivastava

  4464-4471

  2019-07-17

• Orthogonality-Promoting Dictionary Learning via Bayesian Inference

  Lei Luo, Jie Xu, Cheng Deng, Heng Huang

  4472-4479

  2019-07-17

• Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees

  Lei Luo, Jie Xu, Cheng Deng, Heng Huang

  4480-4487

  2019-07-17

• Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions

  Simon Luo, Mahito Sugiyama

  4488-4495

  2019-07-17

• Distributed PageRank Computation: An Improved Theoretical Study

  Siqiang Luo

  4496-4503

  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

• State-Augmentation Transformations for Risk-Sensitive Reinforcement Learning

  Shuai Ma, Jia Yuan Yu

  4512-4519

  2019-07-17

• LabelForest: Non-Parametric Semi-Supervised Learning for Activity Recognition

  Yuchao Ma, Hassan Ghasemzadeh

  4520-4527

  2019-07-17

• Complex Unitary Recurrent Neural Networks Using Scaled Cayley Transform

  Kehelwala D. G. Maduranga, Kyle E. Helfrich, Qiang Ye

  4528-4535

  2019-07-17

• The Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from Concentration of Measure

  Saeed Mahloujifar, Dimitrios I. Diochnos, Mohammad Mahmoody

  4536-4543

  2019-07-17