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"Time": models, code, and papers
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Can neural networks predict dynamics they have never seen?

Nov 12, 2021
Anton Pershin, Cedric Beaume, Kuan Li, Steven M. Tobias

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Contingency Model Predictive Control for Linear Time-Varying Systems

Feb 24, 2021
John P. Alsterda, J. Christian Gerdes

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Turn-to-Diarize: Online Speaker Diarization Constrained by Transformer Transducer Speaker Turn Detection

Oct 05, 2021
Wei Xia, Han Lu, Quan Wang, Anshuman Tripathi, Yiling Huang, Ignacio Lopez Moreno, Hasim Sak

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Acceleration in Distributed Optimization Under Similarity

Oct 24, 2021
Ye Tian, Gesualdo Scutari, Tianyu Cao, Alexander Gasnikov

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Throughput maximization of an IRS-assisted wireless powered network with interference: A deep unsupervised learning approach

Aug 05, 2021
Ahsan Mehmood, Omer Waqar, Mahboob ur Rahman

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Parallel Detection for Efficient Video Analytics at the Edge

Jul 27, 2021
Yanzhao Wu, Ling Liu, Ramana Kompella

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Real-time Out-of-distribution Detection in Learning-Enabled Cyber-Physical Systems

Jan 28, 2020
Feiyang Cai, Xenofon Koutsoukos

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Learning to Ask for Data-Efficient Event Argument Extraction

Oct 01, 2021
Hongbin Ye, Ningyu Zhang, Zhen Bi, Shumin Deng, Chuanqi Tan, Hui Chen, Fei Huang, Huajun Chen

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Quantum Semi-Supervised Learning with Quantum Supremacy

Oct 05, 2021
Zhou Shangnan

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Path Planning for Cellular-Connected UAV: A DRL Solution with Quantum-Inspired Experience Replay

Aug 30, 2021
Yuanjian Li, A. Hamid Aghvami, Daoyi Dong

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