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ArXiv Papers Related to Computer Science, AI, Deep Learning, Computer Vision, NLP, etc

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arXiv
🗒Moving fast and slow: Analysis of representations and post-processing in speech-driven au...
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arXiv
🗒Accelerating NUT black holes.
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arXiv
🗒Can we Estimate Truck Accident Risk from Telemetric Data using Machine Learning?.
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arXiv
🗒Wavelet Channel Attention Module with a Fusion Network for Single Image Deraining.
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arXiv
🗒Improving Object Detection with Selective Self-supervised Self-training.
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arXiv
🗒Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation.
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arXiv
🗒Hierarchical Deep Reinforcement Learning Approach for Multi-Objective Scheduling With Var...
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arXiv
🗒Unsupervised Controllable Generation with Self-Training.
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arXiv
🗒Fine Timing and Frequency Synchronization for MIMO-OFDM: An Extreme Learning Approach.
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arXiv
🗒Global estimation of unintended pregnancy and abortion using a Bayesian hierarchical rand...
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arXiv
🗒A new method for parameter estimation in probabilistic models: Minimum probability flow.
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arXiv
🗒User-Oriented Multi-Task Federated Deep Learning for Mobile Edge Computing.
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arXiv
🗒Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation.
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arXiv
🗒Learn distributed GAN with Temporary Discriminators.
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arXiv
🗒Courant-sharp property for eigenfunctions of the Klein bottle.
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arXiv
🗒DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization.
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arXiv
🗒How Flexible is that Functional Form? Quantifying the Restrictiveness of Theories.
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arXiv
🗒Robustness of the Starobinsky inflationary model.
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arXiv
🗒Initializing Successive Linear Programming Solver for ACOPF using Machine Learning.
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arXiv
🗒People as Scene Probes.
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