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

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arXiv
🗒Recurrent Value Functions.
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arXiv
🗒Binary Classification with Bounded Abstention Rate.
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arXiv
🗒MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity I...
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arXiv
🗒Security of 5G-V2X: Technologies, Standardization and Research Directions.
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arXiv
🗒Shades of Dark Uncertainty and Consensus Value for the Newtonian Constant of Gravitation.
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arXiv
🗒Revisiting Graph Neural Networks: All We Have is Low-Pass Filters.
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arXiv
🗒Detecting Malicious PowerShell Scripts Using Contextual Embeddings.
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arXiv
🗒Incorporating Human Domain Knowledge in 3D LiDAR-based Semantic Segmentation.
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arXiv
🗒SynFuzz: Efficient Concolic Execution via Branch Condition Synthesis.
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arXiv
🗒MCScript2.0: A Machine Comprehension Corpus Focused on Script Events and Participants.
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arXiv
🗒Hierarchical Annotation of Images with Two-Alternative-Forced-Choice Metric Learning.
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arXiv
🗒Scale-free networks revealed from finite-size scaling.
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arXiv
🗒Leveraging Uncertainty in Deep Learning for Selective Classification.
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arXiv
🗒Effect of the spatial curvature of the Universe on the form of the gravitational potential.
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arXiv
🗒Pose estimator and tracker using temporal flow maps for limbs.
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arXiv
🗒Constrained Design of Deep Iris Networks.
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arXiv
🗒Constraint on the Solar dm^2 from combined Daya Bay & RENO data.
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arXiv
🗒Private Queries on Public Certificate Transparency Data.
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arXiv
🗒Bouncing cosmology in an Extended Theory of Gravity.
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arXiv
🗒Modified Gravity (MOG) fits to observed radial acceleration of SPARC galaxies.
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