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• Exact and Efficient Inference for Collective Flow Diffusion Model via Minimum Convex Cost Flow Algorithm

  Yasunori Akagi, Takuya Nishimura, Yusuke Tanaka, Takeshi Kurashima, Hiroyuki Toda

  3163-3170

  2020-04-03

• Efficient Inference of Optimal Decision Trees

  Florent Avellaneda

  3195-3202

  2020-04-03

• Proximal Distilled Evolutionary Reinforcement Learning

  Cristian Bodnar, Ben Day, Pietro Lió

  3283-3290

  2020-04-03

• Fatigue-Aware Bandits for Dependent Click Models

  Junyu Cao, Wei Sun, Zuo-Jun (Max) Shen, Markus Ettl

  3341-3348

  2020-04-03

• Reinforcement Learning When All Actions Are Not Always Available

  Yash Chandak, Georgios Theocharous, Blossom Metevier, Philip Thomas

  3381-3388

  2020-04-03

• A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks

  Jinghui Chen, Dongruo Zhou, Jinfeng Yi, Quanquan Gu

  3486-3494

  2020-04-03

• Diachronic Embedding for Temporal Knowledge Graph Completion

  Rishab Goel, Seyed Mehran Kazemi, Marcus Brubaker, Pascal Poupart

  3988-3995

  2020-04-03

• IWE-Net: Instance Weight Network for Locating Negative Comments and its application to improve Traffic User Experience

  Lan-Zhe Guo, Feng Kuang, Zhang-Xun Liu, Yu-Feng Li, Nan Ma, Xiao-Hu Qie

  4052-4059

  2020-04-03

• Eigenvalue Normalized Recurrent Neural Networks for Short Term Memory

  Kyle Helfrich, Qiang Ye

  4115-4122

  2020-04-03

• DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets

  Yonghyun Jeong, Hyunjin Choi, Byoungjip Kim, Youngjune Gwon

  4296-4303

  2020-04-03

• Gradient Boosts the Approximate Vanishing Ideal

  Hiroshi Kera, Yoshihiko Hasegawa

  4428-4435

  2020-04-03

• Options of Interest: Temporal Abstraction with Interest Functions

  Khimya Khetarpal, Martin Klissarov, Maxime Chevalier-Boisvert, Pierre-Luc Bacon, Doina Precup

  4444-4451

  2020-04-03

• Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks

  Jaedeok Kim, Chiyoun Park, Hyun-Joo Jung, Yoonsuck Choe

  4452-4459

  2020-04-03

• Improved Subsampled Randomized Hadamard Transform for Linear SVM

  Zijian Lei, Liang Lan

  4519-4526

  2020-04-03

• 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