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• Adversarial Dynamic Shapelet Networks

  Qianli Ma, Wanqing Zhuang, Sen Li, Desen Huang, Garrison Cottrell

  5069-5076

  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

• The HSIC Bottleneck: Deep Learning without Back-Propagation

  Wan-Duo Kurt Ma, J. P. Lewis, W. Bastiaan Kleijn

  5085-5092

  2020-04-03

• Projective Quadratic Regression for Online Learning

  Wenye Ma

  5093-5100

  2020-04-03

• Particle Filter Recurrent Neural Networks

  Xiao Ma, Peter Karkus, David Hsu, Wee Sun Lee

  5101-5108

  2020-04-03

• Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance

  Mingxuan Jing, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Chao Yang, Bin Fang, Huaping Liu

  5109-5116

  2020-04-03

• PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices

  Xiaolong Ma, Fu-Ming Guo, Wei Niu, Xue Lin, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang

  5117-5124

  2020-04-03

• Count-Based Exploration with the Successor Representation

  Marlos C. Machado, Marc G. Bellemare, Michael Bowling

  5125-5133

  2020-04-03

• Graph-Hist: Graph Classification from Latent Feature Histograms with Application to Bot Detection

  Thomas Magelinski, David Beskow, Kathleen M. Carley

  5134-5141

  2020-04-03

• Learning Agent Communication under Limited Bandwidth by Message Pruning

  Hangyu Mao, Zhengchao Zhang, Zhen Xiao, Zhibo Gong, Yan Ni

  5142-5149

  2020-04-03

• Multi-Zone Unit for Recurrent Neural Networks

  Fandong Meng, Jinchao Zhang, Yang Liu, Jie Zhou

  5150-5157

  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

• Regularized Wasserstein Means for Aligning Distributional Data

  Liang Mi, Wen Zhang, Yalin Wang

  5166-5173

  2020-04-03

• Deep Embedded Non-Redundant Clustering

  Lukas Miklautz, Dominik Mautz, Muzaffer Can Altinigneli, Christian Böhm, Claudia Plant

  5174-5181

  2020-04-03

• Differentiable Reasoning on Large Knowledge Bases and Natural Language

  Pasquale Minervini, Matko Bošnjak, Tim Rocktäschel, Sebastian Riedel, Edward Grefenstette

  5182-5190

  2020-04-03

• Improved Knowledge Distillation via Teacher Assistant

  Seyed Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, Nir Levine, Akihiro Matsukawa, Hassan Ghasemzadeh

  5191-5198

  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

• Self-Supervised Learning for Generalizable Out-of-Distribution Detection

  Sina Mohseni, Mandar Pitale, JBS Yadawa, Zhangyang Wang

  5216-5223

  2020-04-03

• Learning Weighted Model Integration Distributions

  Paolo Morettin, Samuel Kolb, Stefano Teso, Andrea Passerini

  5224-5231

  2020-04-03

• An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies

  Mirco Mutti, Marcello Restelli

  5232-5239

  2020-04-03

• Efficiently Enumerating Substrings with Statistically Significant Frequencies of Locally Optimal Occurrences in Gigantic String

  Atsuyoshi Nakamura, Ichigaku Takigawa, Hiroshi Mamitsuka

  5240-5247

  2020-04-03

• Pairwise Fairness for Ranking and Regression

  Harikrishna Narasimhan, Andrew Cotter, Maya Gupta, Serena Wang

  5248-5255

  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

• Reliable Multilabel Classification: Prediction with Partial Abstention

  Vu-Linh Nguyen, Eyke Hullermeier

  5264-5271

  2020-04-03