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• Symmetric Metric Learning with Adaptive Margin for Recommendation

  Mingming Li, Shuai Zhang, Fuqing Zhu, Wanhui Qian, Liangjun Zang, Jizhong Han, Songlin Hu

  4634-4641

  2020-04-03

• Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio

  Xiao Liu, Wenbin Li, Jing Huo, Lili Yao, Yang Gao

  4900-4907

  2020-04-03

• Weighted-Sampling Audio Adversarial Example Attack

  Xiaolei Liu, Kun Wan, Yufei Ding, Xiaosong Zhang, Qingxin Zhu

  4908-4915

  2020-04-03

• Memory Augmented Graph Neural Networks for Sequential Recommendation

  Chen Ma, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu, Mark Coates

  5045-5052

  2020-04-03

• Inefficiency of K-FAC for Large Batch Size Training

  Linjian Ma, Gabe Montague, Jiayu Ye, Zhewei Yao, Amir Gholami, Kurt Keutzer, Michael Mahoney

  5053-5060

  2020-04-03

• Online Planner Selection with Graph Neural Networks and Adaptive Scheduling

  Tengfei Ma, Patrick Ferber, Siyu Huo, Jie Chen, Michael Katz

  5077-5084

  2020-04-03

• Projective Quadratic Regression for Online Learning

  Wenye Ma

  5093-5100

  2020-04-03

• Neural Inheritance Relation Guided One-Shot Layer Assignment Search

  Rang Meng, Weijie Chen, Di Xie, Yuan Zhang, Shiliang Pu

  5158-5165

  2020-04-03

• On Adaptivity in Information-Constrained Online Learning

  Siddharth Mitra, Aditya Gopalan

  5199-5206

  2020-04-03

• Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations

  Aditya Modi, Debadeepta Dey, Alekh Agarwal, Adith Swaminathan, Besmira Nushi, Sean Andrist, Eric Horvitz

  5207-5215

  2020-04-03

• Linear Bandits with Feature Feedback

  Urvashi Oswal, Aniruddha Bhargava, Robert Nowak

  5331-5338

  2020-04-03

• Generalized Hidden Parameter MDPs:Transferable Model-Based RL in a Handful of Trials

  Christian Perez, Felipe Petroski Such, Theofanis Karaletsos

  5403-5411

  2020-04-03

• Temporal Network Embedding with High-Order Nonlinear Information

  Zhenyu Qiu, Wenbin Hu, Jia Wu, Weiwei Liu, Bo Du, Xiaohua Jia

  5436-5443

  2020-04-03

• Synthesizing Action Sequences for Modifying Model Decisions

  Goutham Ramakrishnan, Yun Chan Lee, Aws Albarghouthi

  5462-5469

  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

• Challenges in the Automatic Analysis of Students’ Diagnostic Reasoning

  Claudia Schulz, Christian M. Meyer, Iryna Gurevych

  6974-6981

  2019-07-17

• Meta-Learning for Generalized Zero-Shot Learning

  Vinay Kumar Verma, Dhanajit Brahma, Piyush Rai

  6062-6069

  2020-04-03

• Justification-Based Reliability in Machine Learning

  Nurali Virani, Naresh Iyer, Zhaoyuan Yang

  6078-6085

  2020-04-03

• Less Is Better: Unweighted Data Subsampling via Influence Function

  Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang

  6340-6347

  2020-04-03

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

  Yuan Wu, Yuhong Guo

  6438-6445

  2020-04-03

• Not All Attention Is Needed: Gated Attention Network for Sequence Data

  Lanqing Xue, Xiaopeng Li, Nevin L. Zhang

  6550-6557

  2020-04-03

• Active Learning with Query Generation for Cost-Effective Text Classification

  Yi-Fan Yan, Sheng-Jun Huang, Shaoyi Chen, Meng Liao, Jin Xu

  6583-6590

  2020-04-03

• Towards Accurate Low Bit-Width Quantization with Multiple Phase Adaptations

  Zhaoyi Yan, Yemin Shi, Yaowei Wang, Mingkui Tan, Zheyang Li, Wenming Tan, Yonghong Tian

  6591-6598

  2020-04-03

• Variational Inference for Sparse Gaussian Process Modulated Hawkes Process

  Rui Zhang, Christian Walder, Marian-Andrei Rizoiu

  6803-6810

  2020-04-03

• An Ordinal Data Clustering Algorithm with Automated Distance Learning

  Yiqun Zhang, Yiu-ming Cheung

  6869-6876

  2020-04-03