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• Class Prior Estimation with Biased Positives and Unlabeled Examples

  Shantanu Jain, Justin Delano, Himanshu Sharma, Predrag Radivojac

  4255-4263

  2020-04-03

• Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles

  Siddhartha Jain, Ge Liu, Jonas Mueller, David Gifford

  4264-4271

  2020-04-03

• Invariant Representations through Adversarial Forgetting

  Ayush Jaiswal, Daniel Moyer, Greg Ver Steeg, Wael AbdAlmageed, Premkumar Natarajan

  4272-4279

  2020-04-03

• Bounding Regret in Empirical Games

  Steven Jecmen, Arunesh Sinha, Zun Li, Long Tran-Thanh

  4280-4287

  2020-04-03

• An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks

  Giyoung Jeon, Haedong Jeong, Jaesik Choi

  4288-4295

  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

• Sequential Recommendation with Relation-Aware Kernelized Self-Attention

  Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, Il-Chul Moon

  4304-4311

  2020-04-03

• Maximum Margin Multi-Dimensional Classification

  Bin-Bin Jia, Min-Ling Zhang

  4312-4319

  2020-04-03

• Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data

  Songlei Jian, Liang Hu, Longbing Cao, Kai Lu

  4320-4327

  2020-04-03

• Algorithmic Improvements for Deep Reinforcement Learning Applied to Interactive Fiction

  Vishal Jain, William Fedus, Hugo Larochelle, Doina Precup, Marc G. Bellemare

  4328-4336

  2020-04-03

• Generative Exploration and Exploitation

  Jiechuan Jiang, Zongqing Lu

  4337-4344

  2020-04-03

• Long Short-Term Sample Distillation

  Liang Jiang, Zujie Wen, Zhongping Liang, Yafang Wang, Gerard de Melo, Zhe Li, Liangzhuang Ma, Jiaxing Zhang, Xiaolong Li, Yuan Qi

  4345-4352

  2020-04-03

• Rank Aggregation via Heterogeneous Thurstone Preference Models

  Tao Jin, Pan Xu, Quanquan Gu, Farzad Farnoud

  4353-4360

  2020-04-03

• GraLSP: Graph Neural Networks with Local Structural Patterns

  Yilun Jin, Guojie Song, Chuan Shi

  4361-4368

  2020-04-03

• Dynamic Instance Normalization for Arbitrary Style Transfer

  Yongcheng Jing, Xiao Liu, Yukang Ding, Xinchao Wang, Errui Ding, Mingli Song, Shilei Wen

  4369-4376

  2020-04-03

• InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models

  Ameya Joshi, Minsu Cho, Viraj Shah, Balaji Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde

  4377-4384

  2020-04-03

• More Accurate Learning of k-DNF Reference Classes

  Brendan Juba, Hengxuan Li

  4385-4393

  2020-04-03

• Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks

  Sekitoshi Kanai, Yasutoshi Ida, Yasuhiro Fujiwara, Masanori Yamada, Shuichi Adachi

  4394-4403

  2020-04-03

• Towards Oracle Knowledge Distillation with Neural Architecture Search

  Minsoo Kang, Jonghwan Mun, Bohyung Han

  4404-4411

  2020-04-03

• Large-Scale Multi-View Subspace Clustering in Linear Time

  Zhao Kang, Wangtao Zhou, Zhitong Zhao, Junming Shao, Meng Han, Zenglin Xu

  4412-4419

  2020-04-03

• Nonlinear System Identification via Tensor Completion

  Nikos Kargas, Nicholas D. Sidiropoulos

  4420-4427

  2020-04-03

• Gradient Boosts the Approximate Vanishing Ideal

  Hiroshi Kera, Yoshihiko Hasegawa

  4428-4435

  2020-04-03

• Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy

  Ramtin Keramati, Christoph Dann, Alex Tamkin, Emma Brunskill

  4436-4443

  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