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• AUC Optimization with a Reject Option

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

  5684-5691

  2020-04-03

• Stable Learning via Sample Reweighting

  Zheyan Shen, Peng Cui, Tong Zhang, Kun Kunag

  5692-5699

  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

• Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning

  Kekai Sheng, Weiming Dong, Menglei Chai, Guohui Wang, Peng Zhou, Feiyue Huang, Bao-Gang Hu, Rongrong Ji, Chongyang Ma

  5709-5716

  2020-04-03

• Gamma-Nets: Generalizing Value Estimation over Timescale

  Craig Sherstan, Shibhansh Dohare, James MacGlashan, Johannes Günther, Patrick M. Pilarski

  5717-5725

  2020-04-03

• Deep Time-Stream Framework for Click-through Rate Prediction by Tracking Interest Evolution

  Shu-Ting Shi, Wenhao Zheng, Jun Tang, Qing-Guo Chen, Yao Hu, Jianke Zhu, Ming Li

  5726-5733

  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

• Loss-Based Attention for Deep Multiple Instance Learning

  Xiaoshuang Shi, Fuyong Xing, Yuanpu Xie, Zizhao Zhang, Lei Cui, Lin Yang

  5742-5749

  2020-04-03

• Deep Message Passing on Sets

  Yifeng Shi, Junier Oliva, Marc Niethammer

  5750-5757

  2020-04-03

• Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting

  Qiquan Shi, Jiaming Yin, Jiajun Cai, Andrzej Cichocki, Tatsuya Yokota, Lei Chen, Mingxuan Yuan, Jia Zeng

  5758-5766

  2020-04-03

• Morphism-Based Learning for Structured Data

  Kilho Shin, Dave Shepard

  5767-5775

  2020-04-03

• Hierarchically Clustered Representation Learning

  Su-Jin Shin, Kyungwoo Song, Il-Chul Moon

  5776-5783

  2020-04-03

• HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface

  Sungho Shin, Jinhwan Park, Yoonho Boo, Wonyong Sung

  5784-5791

  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

• Efficient Facial Feature Learning with Wide Ensemble-Based Convolutional Neural Networks

  Henrique Siqueira, Sven Magg, Stefan Wermter

  5800-5809

  2020-04-03

• Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers

  Masoumeh Soflaei, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao, Richong Zhang

  5810-5817

  2020-04-03

• Bivariate Beta-LSTM

  Kyungwoo Song, JoonHo Jang, Seung jae Shin, Il-Chul Moon

  5818-5825

  2020-04-03

• Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards

  Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Shangtong Zhang, Andrzej Wojcicki, Mai Xu

  5826-5833

  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

• Benign Examples: Imperceptible Changes Can Enhance Image Translation Performance

  Vignesh Srinivasan, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima

  5842-5850

  2020-04-03

• Scalable Probabilistic Matrix Factorization with Graph-Based Priors

  Jonathan Strahl, Jaakko Peltonen, Hirsohi Mamitsuka, Samuel Kaski

  5851-5858

  2020-04-03

• Learning Efficient Representations for Fake Speech Detection

  Nishant Subramani, Delip Rao

  5859-5866

  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

• Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning

  Jianwen Sun, Tianwei Zhang, Xiaofei Xie, Lei Ma, Yan Zheng, Kangjie Chen, Yang Liu

  5883-5891

  2020-04-03