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

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arXiv
🗒Kernel Two-Sample and Independence Tests for Non-Stationary Random Processes.
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arXiv
🗒RefVOS: A Closer Look at Referring Expressions for Video Object Segmentation.
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arXiv
🗒Predicting the flow field in a U-bend with deep neural networks.
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arXiv
🗒Deep Group-wise Variational Diffeomorphic Image Registration.
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arXiv
🗒CoVer: Collaborative Light-Node-Only Verification and Data Availability for Blockchains.
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arXiv
🗒Dual Attention Model for Citation Recommendation.
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arXiv
🗒Training Data Augmentation for Deep Learning RF Systems.
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arXiv
🗒Axion Dark Matter eXperiment: Detailed Design and Operations.
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arXiv
🗒Value-based Bayesian Meta-reinforcement Learning and Traffic Signal Control.
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arXiv
🗒Examining the rhetorical capacities of neural language models.
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arXiv
🗒Learning from Mistakes: Combining Ontologies via Self-Training for Dialogue Generation.
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arXiv
🗒Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images.
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arXiv
🗒Centrality in Epidemic Networks with Time-Delay: A Decision-Support Framework for Epidemi...
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arXiv
🗒Student-Initiated Action Advising via Advice Novelty.
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arXiv
🗒Deep matrix factorizations.
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arXiv
🗒Citation Sentiment Changes Analysis.
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arXiv
🗒How LSTM Encodes Syntax: Exploring Context Vectors and Semi-Quantization on Natural Text.
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arXiv
🗒Can You Trust Your Pose? Confidence Estimation in Visual Localization.
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arXiv
🗒Deep-3DAligner: Unsupervised 3D Point Set Registration Network With Optimizable Latent Ve...
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arXiv
🗒"Did you really mean what you said?" : Sarcasm Detection in Hindi-English Code-Mixed Data...
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arXiv
🗒Model-based Bayesian inference of disease outbreak with invertible neural networks.
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