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• Knowledge-Base Degrees of Inconsistency: Complexity and Counting

  Johannes K. Fichte, Markus Hecher, Arne Meier

  6349-6357

  2021-05-18

• GENSYNTH: Synthesizing Datalog Programs without Language Bias

  Jonathan Mendelson, Aaditya Naik, Mukund Raghothaman, Mayur Naik

  6444-6453

  2021-05-18

• Parameterized Complexity of Small Decision Tree Learning

  Sebastian Ordyniak, Stefan Szeider

  6454-6462

  2021-05-18

• On the Tractability of SHAP Explanations

  Guy Van den Broeck, Anton Lykov, Maximilian Schleich, Dan Suciu

  6505-6513

  2021-05-18

• ExGAN: Adversarial Generation of Extreme Samples

  Siddharth Bhatia, Arjit Jain, Bryan Hooi

  6750-6758

  2021-05-18

• A Blind Block Term Decomposition of High Order Tensors

  Yunfeng Cai, Ping Li

  6868-6876

  2021-05-18

• Provably Secure Federated Learning against Malicious Clients

  Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong

  6885-6893

  2021-05-18

• SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations

  Hao-Zhe Feng, Kezhi Kong, Minghao Chen, Tianye Zhang, Minfeng Zhu, Wei Chen

  7413-7421

  2021-05-18

• DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning

  Mohammadhosein Hasanbeig, Natasha Yogananda Jeppu, Alessandro Abate, Tom Melham, Daniel Kroening

  7647-7656

  2021-05-18

• Scaling-Up Robust Gradient Descent Techniques

  Matthew J. Holland

  7694-7701

  2021-05-18

• Adversarial Defence by Diversified Simultaneous Training of Deep Ensembles

  Bo Huang, Zhiwei Ke, Yi Wang, Wei Wang, Linlin Shen, Feng Liu

  7823-7831

  2021-05-18

• Query Training: Learning a Worse Model to Infer Better Marginals in Undirected Graphical Models with Hidden Variables

  Miguel Lázaro-Gredilla, Wolfgang Lehrach, Nishad Gothoskar, Guangyao Zhou, Antoine Dedieu, Dileep George

  8252-8260

  2021-05-18

• Self-Paced Two-dimensional PCA

  Jiangxin Li, Zhao Kang, Chong Peng, Wenyu Chen

  8392-8400

  2021-05-18

• TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning

  Bingyan Liu, Yifeng Cai, Yao Guo, Xiangqun Chen

  8627-8634

  2021-05-18

• Dynamically Grown Generative Adversarial Networks

  Lanlan Liu, Yuting Zhang, Jia Deng, Stefano Soatto

  8680-8687

  2021-05-18

• Revisiting Co-Occurring Directions: Sharper Analysis and Efficient Algorithm for Sparse Matrices

  Luo Luo, Cheng Chen, Guangzeng Xie, Haishan Ye

  8793-8800

  2021-05-18

• Adaptive Knowledge Driven Regularization for Deep Neural Networks

  Zhaojing Luo, Shaofeng Cai, Can Cui, Beng Chin Ooi, Yang Yang

  8810-8818

  2021-05-18

• Objective-Based Hierarchical Clustering of Deep Embedding Vectors

  Stanislav Naumov, Grigory Yaroslavtsev, Dmitrii Avdiukhin

  9055-9063

  2021-05-18

• Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning

  A. Tuan Nguyen, Hyewon Jeong, Eunho Yang, Sung Ju Hwang

  9081-9091

  2021-05-18

• Differentially Private k-Means via Exponential Mechanism and Max Cover

  Huy L. Nguyen, Anamay Chaturvedi, Eric Z Xu

  9101-9108

  2021-05-18

• An Information-Theoretic Framework for Unifying Active Learning Problems

  Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet

  9126-9134

  2021-05-18

• Learning of Structurally Unambiguous Probabilistic Grammars

  Dolav Nitay, Dana Fisman, Michal Ziv-Ukelson

  9170-9178

  2021-05-18

• Learning Deep Generative Models for Queuing Systems

  Cesar Ojeda, Kostadin Cvejoski, Bodgan Georgiev, Christian Bauckhage, Jannis Schuecker, Ramses J. Sanchez

  9214-9222

  2021-05-18

• Augmented Experiment in Material Engineering Using Machine Learning

  Aomar Osmani, Massinissa Hamidi, Salah Bouhouche

  9251-9258

  2021-05-18

• Robustness Guarantees for Mode Estimation with an Application to Bandits

  Aldo Pacchiano, Heinrich Jiang, Michael I. Jordan

  9277-9284

  2021-05-18