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• Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes

  Ke Sun, Zhouchen Lin, Zhanxing Zhu

  5892-5899

  2020-04-03

• Attentive Experience Replay

  Peiquan Sun, Wengang Zhou, Houqiang Li

  5900-5907

  2020-04-03

• Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection

  Yuan Sun, Wei Wang, Michael Kirley, Xiaodong Li, Jeffrey Chan

  5908-5915

  2020-04-03

• Adversarial Transformations for Semi-Supervised Learning

  Teppei Suzuki, Ikuro Sato

  5916-5923

  2020-04-03

• CGD: Multi-View Clustering via Cross-View Graph Diffusion

  Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Zhigang Luo, Lizhe Wang, Wen Gao

  5924-5931

  2020-04-03

• Label Enhancement with Sample Correlations via Low-Rank Representation

  Haoyu Tang, Jihua Zhu, Qinghai Zheng, Jun Wang, Shanmin Pang, Zhongyu Li

  5932-5939

  2020-04-03

• Discriminative Adversarial Domain Adaptation

  Hui Tang, Kui Jia

  5940-5947

  2020-04-03

• Parameterized Indexed Value Function for Efficient Exploration in Reinforcement Learning

  Tian Tan, Zhihan Xiong, Vikranth R. Dwaracherla

  5948-5955

  2020-04-03

• Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values

  Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Charu Aggarwal, Prasenjit Mitra, Suhang Wang

  5956-5963

  2020-04-03

• Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks

  Yehui Tang, Yunhe Wang, Yixing Xu, Boxin Shi, Chao Xu, Chunjing Xu, Chang Xu

  5964-5971

  2020-04-03

• Reborn Filters: Pruning Convolutional Neural Networks with Limited Data

  Yehui Tang, Shan You, Chang Xu, Jin Han, Chen Qian, Boxin Shi, Chao Xu, Changshui Zhang

  5972-5980

  2020-04-03

• Discretizing Continuous Action Space for On-Policy Optimization

  Yunhao Tang, Shipra Agrawal

  5981-5988

  2020-04-03

• Bi-Objective Continual Learning: Learning ‘New’ While Consolidating ‘Known’

  Xiaoyu Tao, Xiaopeng Hong, Xinyuan Chang, Yihong Gong

  5989-5996

  2020-04-03

• Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression

  Tong Teng, Jie Chen, Yehong Zhang, Bryan Kian Hsiang Low

  5997-6004

  2020-04-03

• Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors

  Jayaraman J. Thiagarajan, Bindya Venkatesh, Prasanna Sattigeri, Peer-Timo Bremer

  6005-6012

  2020-04-03

• Network as Regularization for Training Deep Neural Networks: Framework, Model and Performance

  Kai Tian, Yi Xu, Jihong Guan, Shuigeng Zhou

  6013-6020

  2020-04-03

• Sanity Checks for Saliency Metrics

  Richard Tomsett, Dan Harborne, Supriyo Chakraborty, Prudhvi Gurram, Alun Preece

  6021-6029

  2020-04-03

• Differential Equation Units: Learning Functional Forms of Activation Functions from Data

  MohamadAli Torkamani, Shiv Shankar, Amirmohammad Rooshenas, Phillip Wallis

  6030-6037

  2020-04-03

• Order-Free Learning Alleviating Exposure Bias in Multi-Label Classification

  Che-Ping Tsai, Hung-Yi Lee

  6038-6045

  2020-04-03

• Learning to Crawl

  Utkarsh Upadhyay, Robert Busa-Fekete, Wojciech Kotlowski, David Pal, Balazs Szorenyi

  6046-6053

  2020-04-03

• Transfer Learning for Anomaly Detection through Localized and Unsupervised Instance Selection

  Vercruyssen Vincent, Meert Wannes, Davis Jesse

  6054-6061

  2020-04-03

• Meta-Learning for Generalized Zero-Shot Learning

  Vinay Kumar Verma, Dhanajit Brahma, Piyush Rai

  6062-6069

  2020-04-03

• Deep Conservative Policy Iteration

  Nino Vieillard, Olivier Pietquin, Matthieu Geist

  6070-6077

  2020-04-03

• Justification-Based Reliability in Machine Learning

  Nurali Virani, Naresh Iyer, Zhaoyuan Yang

  6078-6085

  2020-04-03

• Fast and Efficient Boolean Matrix Factorization by Geometric Segmentation

  Changlin Wan, Wennan Chang, Tong Zhao, Mengya Li, Sha Cao, Chi Zhang

  6086-6093

  2020-04-03