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

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arXiv
🗒Parrot: Data-Driven Behavioral Priors for Reinforcement Learning.
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arXiv
🗒TrustSense: An energy efficient trust scheme for clustered wireless sensor networks.
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arXiv
🗒KeyGuard: Using Selective Encryption to Mitigate Keylogging in Third-Party IME.
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arXiv
🗒Inverse Constrained Reinforcement Learning.
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arXiv
🗒GL-Coarsener: A Graph representation learning framework to construct coarse grid hierarch...
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arXiv
🗒Robot Gaining Accurate Pouring Skills through Self-Supervised Learning and Generalization.
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arXiv
🗒Cooperating RPN's Improve Few-Shot Object Detection.
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arXiv
🗒Source mass characterization in the ARIADNE axion experiment.
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arXiv
🗒VLG-Net: Video-Language Graph Matching Network for Video Grounding.
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arXiv
🗒The Best of Many Worlds: Dual Mirror Descent for Online Allocation Problems.
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arXiv
🗒Oblivious DNS over HTTPS (ODoH): A Practical Privacy Enhancement to DNS.
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arXiv
🗒ON CURVES AND TUBES IN $\mathbb{R}^n$.
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arXiv
🗒Locally-Aware Constrained Games on Networks.
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arXiv
🗒WAE: Workload Automation Engine for CDN-specialized Container Orchestration.
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arXiv
🗒Discriminative Localized Sparse Representations for Breast Cancer Screening.
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arXiv
🗒FLAVA: Find, Localize, Adjust and Verify to Annotate LiDAR-Based Point Clouds.
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arXiv
🗒Large Scale Neural Architecture Search with Polyharmonic Splines.
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arXiv
🗒Learn to Bind and Grow Neural Structures.
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arXiv
🗒ScalarFlow: A Large-Scale Volumetric Data Set of Real-world Scalar Transport Flows for Co...
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arXiv
🗒Exploring the political pulse of a country using data science tools.
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arXiv
🗒Edge Adaptive Hybrid Regularization Model For Image Deblurring.
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