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• Incidental Supervision: Moving beyond Supervised Learning

  Dan Roth

  2017-02-12

• Neuron Learning Machine for Representation Learning

  Jia Liu, Maoguo Gong, Qiguang Miao

  2017-02-12

• Causal Effect Identification by Adjustment under Confounding and Selection Biases

  Juan Correa, Elias Bareinboim

  2017-02-12

• Misspecified Linear Bandits

  Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan

  2017-02-12

• I See What You See: Inferring Sensor and Policy Models of Human Real-World Motor Behavior

  Felix Schmitt, Hans-Joachim Bieg, Michael Herman, Constantin Rothkopf

  2017-02-12

• A Diversified Generative Latent Variable Model for WiFi-SLAM

  Hao Xiong, Dacheng Tao

  2017-02-12

• Recurrent Neural Networks with Auxiliary Labels for Cross-Domain Opinion Target Extraction

  Ying Ding, Jianfei Yu, Jing Jiang

  2017-02-12

• Unsupervised Learning of Evolving Relationships Between Literary Characters

  Snigdha Chaturvedi, Mohit Iyyer, Hal Daume III

  2017-02-12

• Label-Free Supervision of Neural Networks with Physics and Domain Knowledge

  Russell Stewart, Stefano Ermon

  2017-02-13

• Importance Sampling with Unequal Support

  Philip Thomas, Emma Brunskill

  2017-02-13

• Heavy-Tailed Analogues of the Covariance Matrix for ICA

  Joseph Anderson, Navin Goyal, Anupama Nandi, Luis Rademacher

  2017-02-13

• Active Search for Sparse Signals with Region Sensing

  Yifei Ma, Roman Garnett, Jeff Schneider

  2017-02-13

• Deep Learning for Fixed Model Reuse

  Yang Yang, De-Chuan Zhan, Ying Fan, Yuan Jiang, Zhi-Hua Zhou

  2017-02-13

• Compressed K-Means for Large-Scale Clustering

  Xiaobo Shen, Weiwei Liu, Ivor Tsang, Fumin Shen, Quan-Sen Sun

  2017-02-13

• Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson Distributions

  Alejandro Molina, Sriraam Natarajan, Kristian Kersting

  2017-02-13

• Discover Multiple Novel Labels in Multi-Instance Multi-Label Learning

  Yue Zhu, Kai Ming Ting, Zhi-Hua Zhou

  2017-02-13

• Nonlinear Dynamic Boltzmann Machines for Time-Series Prediction

  Sakyasingha Dasgupta, Takayuki Osogami

  2017-02-13

• Sparse Deep Transfer Learning for Convolutional Neural Network

  Jiaming Liu, Yali Wang, Yu Qiao

  2017-02-13

• Learning Invariant Deep Representation for NIR-VIS Face Recognition

  Ran He, Xiang Wu, Zhenan Sun, Tieniu Tan

  2017-02-13

• Sparse Subspace Clustering by Learning Approximation ℓ0 Codes

  Jun Li, Yu Kong, Yun Fu

  2017-02-13

• Unbiased Multivariate Correlation Analysis

  Yisen Wang, Simone Romano, Vinh Nguyen, James Bailey, Xingjun Ma, Shu-Tao Xia

  2017-02-13

• Multidimensional Scaling on Multiple Input Distance Matrices

  Song Bai, Xiang Bai, Longin Jan Latecki, Qi Tian

  2017-02-12

• Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction

  Bo Jin, Haoyu Yang, Cao Xiao, Ping Zhang, Xiaopeng Wei, Fei Wang

  2017-02-12

• Learning with Feature Network and Label Network Simultaneously

  Yingming Li, Ming Yang, Zenglin Xu, Zhongfei (Mark) Zhang

  2017-02-12

• Robust Manifold Matrix Factorization for Joint Clustering and Feature Extraction

  Lefei Zhang, Qian Zhang, Bo Du, Dacheng Tao, Jane You

  2017-02-12