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• Learning Weighted Model Integration Distributions

  Paolo Morettin, Samuel Kolb, Stefano Teso, Andrea Passerini

  5224-5231

  2020-04-03

• Bayesian Optimization for Categorical and Category-Specific Continuous Inputs

  Dang Nguyen, Sunil Gupta, Santu Rana, Alistair Shilton, Svetha Venkatesh

  5256-5263

  2020-04-03

• On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models

  Erik Nijkamp, Mitch Hill, Tian Han, Song-Chun Zhu, Ying Nian Wu

  5272-5280

  2020-04-03

• Brain-Mediated Transfer Learning of Convolutional Neural Networks

  Satoshi Nishida, Yusuke Nakano, Antoine Blanc, Naoya Maeda, Masataka Kado, Shinji Nishimoto

  5281-5288

  2020-04-03

• Maximum Likelihood Embedding of Logistic Random Dot Product Graphs

  Luke J. O'Connor, Muriel Medard, Soheil Feizi

  5289-5297

  2020-04-03

• Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data

  Kyoung-Woon On, Eun-Sol Kim, Yu-Jung Heo, Byoung-Tak Zhang

  5315-5322

  2020-04-03

• Unsupervised Attributed Multiplex Network Embedding

  Chanyoung Park, Donghyun Kim, Jiawei Han, Hwanjo Yu

  5371-5378

  2020-04-03

• Abstract Interpretation of Decision Tree Ensemble Classifiers

  Francesco Ranzato, Marco Zanella

  5478-5486

  2020-04-03

• On the Role of Weight Sharing During Deep Option Learning

  Matthew Riemer, Ignacio Cases, Clemens Rosenbaum, Miao Liu, Gerald Tesauro

  5519-5526

  2020-04-03

• Weakly Supervised Sequence Tagging from Noisy Rules

  Esteban Safranchik, Shiying Luo, Stephen Bach

  5570-5578

  2020-04-03

• Learning Counterfactual Representations for Estimating Individual Dose-Response Curves

  Patrick Schwab, Lorenz Linhardt, Stefan Bauer, Joachim M. Buhmann, Walter Karlen

  5612-5619

  2020-04-03

• AUC Optimization with a Reject Option

  Song-Qing Shen, Bin-Bin Yang, Wei Gao

  5684-5691

  2020-04-03

• Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference

  Jianghao Shen, Yue Wang, Pengfei Xu, Yonggan Fu, Zhangyang Wang, Yingyan Lin

  5700-5708

  2020-04-03

• Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization

  Wanli Shi, Bin Gu, Xiang Li, Heng Huang

  5734-5741

  2020-04-03

• Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents

  Felipe Leno Da Silva, Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor

  5792-5799

  2020-04-03

• Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip

  Yuxuan Song, Minkai Xu, Lantao Yu, Hao Zhou, Shuo Shao, Yong Yu

  5834-5841

  2020-04-03

• Lifelong Spectral Clustering

  Gan Sun, Yang Cong, Qianqian Wang, Jun Li, Yun Fu

  5867-5874

  2020-04-03

• New Interpretations of Normalization Methods in Deep Learning

  Jiacheng Sun, Xiangyong Cao, Hanwen Liang, Weiran Huang, Zewei Chen, Zhenguo Li

  5875-5882

  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

• Learning General Latent-Variable Graphical Models with Predictive Belief Propagation

  Borui Wang, Geoffrey Gordon

  6118-6126

  2020-04-03

• Learning from Weak-Label Data: A Deep Forest Expedition

  Qian-Wei Wang, Liang Yang, Yu-Feng Li

  6251-6258

  2020-04-03

• SK-Net: Deep Learning on Point Cloud via End-to-End Discovery of Spatial Keypoints

  Weikun Wu, Yan Zhang, David Wang, Yunqi Lei

  6422-6429

  2020-04-03

• Dual Adversarial Co-Learning for Multi-Domain Text Classification

  Yuan Wu, Yuhong Guo

  6438-6445

  2020-04-03

• Partial Multi-Label Learning with Noisy Label Identification

  Ming-Kun Xie, Sheng-Jun Huang

  6454-6461

  2020-04-03

• Deep Embedded Complementary and Interactive Information for Multi-View Classification

  Jinglin Xu, Wenbin Li, Xinwang Liu, Dingwen Zhang, Ji Liu, Junwei Han

  6494-6501

  2020-04-03