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• 5* Knowledge Graph Embeddings with Projective Transformations

  Mojtaba Nayyeri, Sahar Vahdati, Can Aykul, Jens Lehmann

  9064-9072

  2021-05-18

• Advice-Guided Reinforcement Learning in a non-Markovian Environment

  Daniel Neider, Jean-Raphael Gaglione, Ivan Gavran, Ufuk Topcu, Bo Wu, Zhe Xu

  9073-9080

  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

• Modular Graph Transformer Networks for Multi-Label Image Classification

  Hoang D. Nguyen, Xuan-Son Vu, Duc-Trong Le

  9092-9100

  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

• Minimum Robust Multi-Submodular Cover for Fairness

  Lan N. Nguyen, My T. Thai

  9109-9116

  2021-05-28

• Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting

  Nam Nguyen, Brian Quanz

  9117-9125

  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

• Top-k Ranking Bayesian Optimization

  Quoc Phong Nguyen, Sebastian Tay, Bryan Kian Hsiang Low, Patrick Jaillet

  9135-9143

  2021-05-18

• Distributional Reinforcement Learning via Moment Matching

  Thanh Nguyen-Tang, Sunil Gupta, Svetha Venkatesh

  9144-9152

  2021-05-18

• Precision-based Boosting

  Mohammad Hossein Nikravan, Marjan Movahedan, Sandra Zilles

  9153-9160

  2021-05-18

• Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries

  Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang

  9161-9169

  2021-05-18

• Learning of Structurally Unambiguous Probabilistic Grammars

  Dolav Nitay, Dana Fisman, Michal Ziv-Ukelson

  9170-9178

  2021-05-18

• RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices

  Wei Niu, Mengshu Sun, Zhengang Li, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Sijia Liu, Xue Lin, Bin Ren

  9179-9187

  2021-05-18

• Warm Starting CMA-ES for Hyperparameter Optimization

  Masahiro Nomura, Shuhei Watanabe, Youhei Akimoto, Yoshihiko Ozaki, Masaki Onishi

  9188-9196

  2021-05-18

• Inverse Reinforcement Learning From Like-Minded Teachers

  Ritesh Noothigattu, Tom Yan, Ariel D. Procaccia

  9197-9204

  2021-05-18

• Multinomial Logit Contextual Bandits: Provable Optimality and Practicality

  Min-hwan Oh, Garud Iyengar

  9205-9213

  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

• OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport

  Derek Onken, Samy Wu Fung, Xingjian Li, Lars Ruthotto

  9223-9232

  2021-05-18

• FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting

  Boris N. Oreshkin, Arezou Amini, Lucy Coyle, Mark Coates

  9233-9241

  2021-05-18

• Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting

  Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio

  9242-9250

  2021-05-18

• Augmented Experiment in Material Engineering Using Machine Learning

  Aomar Osmani, Massinissa Hamidi, Salah Bouhouche

  9251-9258

  2021-05-18

• Second Order Techniques for Learning Time-series with Structural Breaks

  Takayuki Osogami

  9259-9267

  2021-05-18

• Defending against Backdoors in Federated Learning with Robust Learning Rate

  Mustafa Safa Ozdayi, Murat Kantarcioglu, Yulia R. Gel

  9268-9276

  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