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• Feature Variance Regularization: A Simple Way to Improve the Generalizability of Neural Networks

  Ranran Huang, Hanbo Sun, Ji Liu, Lu Tian, Li Wang, Yi Shan, Yu Wang

  4190-4197

  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

• 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

• Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation

  Mohit Kumar, Samuel Kolb, Stefano Teso, Luc De Raedt

  4493-4500

  2020-04-03

• Correcting Predictions for Approximate Bayesian Inference

  Tomasz Kuśmierczyk, Joseph Sakaya, Arto Klami

  4511-4518

  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

• Pairwise Fairness for Ranking and Regression

  Harikrishna Narasimhan, Andrew Cotter, Maya Gupta, Serena Wang

  5248-5255

  2020-04-03

• Adversarial Localized Energy Network for Structured Prediction

  Pingbo Pan, Ping Liu, Yan Yan, Tianbao Yang, Yi Yang

  5347-5354

  2020-04-03

• Abstract Interpretation of Decision Tree Ensemble Classifiers

  Francesco Ranzato, Marco Zanella

  5478-5486

  2020-04-03

• Actionable Ethics through Neural Learning

  Daniele Rossini, Danilo Croce, Sara Mancini, Massimo Pellegrino, Roberto Basili

  5537-5544

  2020-04-03

• Universal Adversarial Training

  Ali Shafahi, Mahyar Najibi, Zheng Xu, John Dickerson, Larry S. Davis, Tom Goldstein

  5636-5643

  2020-04-03

• Deep Message Passing on Sets

  Yifeng Shi, Junier Oliva, Marc Niethammer

  5750-5757

  2020-04-03

• Bivariate Beta-LSTM

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

  5818-5825

  2020-04-03

• Estimating Stochastic Linear Combination of Non-Linear Regressions

  Di Wang, Xiangyu Guo, Chaowen Guan, Shi Li, Jinhui Xu

  6137-6144

  2020-04-03

• Federated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework

  Yansheng Wang, Yongxin Tong, Dingyuan Shi

  6283-6290

  2020-04-03

• Transparent Classification with Multilayer Logical Perceptrons and Random Binarization

  Zhuo Wang, Wei Zhang, Ning LIU, Jianyong Wang

  6331-6339

  2020-04-03

• Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics

  Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou

  6372-6379

  2020-04-03

• Meta-Amortized Variational Inference and Learning

  Mike Wu, Kristy Choi, Noah Goodman, Stefano Ermon

  6404-6412

  2020-04-03

• Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data

  Xuchao Zhang, Xian Wu, Fanglan Chen, Liang Zhao, Chang-Tien Lu

  6853-6860

  2020-04-03

• Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization

  Qi Zhou, HouQiang Li, Jie Wang

  6941-6948

  2020-04-03

• CoCoX: Generating Conceptual and Counterfactual Explanations via Fault-Lines

  Arjun Akula, Shuai Wang, Song-Chun Zhu

  2594-2601

  2020-04-03

• Resilient Logic Programs: Answer Set Programs Challenged by Ontologies

  Sanja Lukumbuzya, Magdalena Ortiz, Mantas Šimkus

  2917-2924

  2020-04-03

• Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational Reasoning

  Wenhe Zhang, Chi Zhang, Yixin Zhu, Song-Chun Zhu

  1332-1340

  2020-04-03

• Using Approximation within Constraint Programming to Solve the Parallel Machine Scheduling Problem with Additional Unit Resources

  Arthur Godet, Xavier Lorca, Emmanuel Hebrard, Gilles Simonin

  1512-1519

  2020-04-03

• A Character-Centric Neural Model for Automated Story Generation

  Danyang Liu, Juntao Li, Meng-Hsuan Yu, Ziming Huang, Gongshen Liu, Dongyan Zhao, Rui Yan

  1725-1732

  2020-04-03