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• On the ERM Principle With Networked Data

  Yuanhong Wang, Yuyi Wang, Xingwu Liu, Juhua Pu

  2018-04-29

• Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure

  Aleksandar Bojchevski, Stephan Günnemann

  2018-04-29

• A General Formulation for Safely Exploiting Weakly Supervised Data

  Lan-Zhe Guo, Yu-Feng Li

  2018-04-29

• Characterization of the Convex Łukasiewicz Fragment for Learning From Constraints

  Francesco Giannini, Michelangelo Diligenti, Marco Gori, Marco Maggini

  2018-04-29

• Joint Learning of Set Cardinality and State Distribution

  S. Hamid Rezatofighi, Anton Milan, Qinfeng Shi, Anthony Dick, Ian Reid

  2018-04-29

• Decoupled Convolutions for CNNs

  Guotian Xie, Ting Zhang, Kuiyuan Yang, Jianhuang Lai, Jingdong Wang

  2018-04-29

• Approximate and Exact Enumeration of Rule Models

  Satoshi Hara, Masakazu Ishihata

  2018-04-29

• Learning With Single-Teacher Multi-Student

  Shan You, Chang Xu, Chao Xu, Dacheng Tao

  2018-04-29

• Attend and Diagnose: Clinical Time Series Analysis Using Attention Models

  Huan Song, Deepta Rajan, Jayaraman Thiagarajan, Andreas Spanias

  2018-04-29

• Adversarial Dropout for Supervised and Semi-Supervised Learning

  Sungrae Park, JunKeon Park, Su-Jin Shin, Il-Chul Moon

  2018-04-29

• Sparse Gaussian Conditional Random Fields on Top of Recurrent Neural Networks

  Xishun Wang, Minjie Zhang, Fenghui Ren

  2018-04-29

• Non-Parametric Outliers Detection in Multiple Time Series A Case Study: Power Grid Data Analysis

  Yuxun Zhou, Han Zou, Reza Arghandeh, Weixi Gu, Costas Spanos

  2018-04-29

• Multi-Step Reinforcement Learning: A Unifying Algorithm

  Kristopher De Asis, J. Hernandez-Garcia, G. Holland, Richard Sutton

  2018-04-29

• Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-Offs by Selective Execution

  Lanlan Liu, Jia Deng

  2018-04-29

• Budget-Constrained Multi-Armed Bandits With Multiple Plays

  Datong Zhou, Claire Tomlin

  2018-04-29

• Unsupervised Personalized Feature Selection

  Jundong Li, Liang Wu, Harsh Dani, Huan Liu

  2018-04-29

• Sample-Efficient Learning of Mixtures

  Hassan Ashtiani, Shai Ben-David, Abbas Mehrabian

  2018-04-29

• Predictive Coding Machine for Compressed Sensing and Image Denoising

  Jun Li, Hongfu Liu, Yun Fu

  2018-04-29

• Weighted Multi-View Spectral Clustering Based on Spectral Perturbation

  Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu

  2018-04-29

• Training CNNs With Normalized Kernels

  Mete Ozay, Takayuki Okatani

  2018-04-29

• Adaptive Quantization for Deep Neural Network

  Yiren Zhou, Seyed-Mohsen Moosavi-Dezfooli, Ngai-Man Cheung, Pascal Frossard

  2018-04-29

• Nonlinear Pairwise Layer and Its Training for Kernel Learning

  Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li

  2018-04-29

• Reliable Multi-View Clustering

  Hong Tao, Chenping Hou, Xinwang Liu, Tongliang Liu, Dongyun Yi, Jubo Zhu

  2018-04-29

• Efficient Multi-Dimensional Tensor Sparse Coding Using t-Linear Combination

  Fei Jiang, Xiao-Yang Liu, Hongtao Lu, Ruimin Shen

  2018-04-29

• HodgeRank With Information Maximization for Crowdsourced Pairwise Ranking Aggregation

  Qianqian Xu, Jiechao Xiong, Xi Chen, Qingming Huang, Yuan Yao

  2018-04-29