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

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arXiv
🗒RAPPER: Ransomware Prevention via Performance Counters.
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arXiv
🗒Quantification of the propagation of rumors on social media.
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arXiv
🗒Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Ene...
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arXiv
🗒RACE: Reinforced Cooperative Autonomous Vehicle Collision AvoidancE.
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arXiv
🗒Temporally Distributed Networks for Fast Video Segmentation.
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arXiv
🗒Self-Supervised Viewpoint Learning From Image Collections.
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arXiv
🗒Privacy-Preserving Eye Videos using Rubber Sheet Model.
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arXiv
🗒Stacked Generalizations in Imbalanced Fraud Data Sets using Resampling Methods.
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arXiv
🗒Evolving wormhole in the brane-world scenario.
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arXiv
🗒Typosquatting for Fun and Profit: Cross-Country Analysis of Pop-Up Scam.
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arXiv
🗒TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications.
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arXiv
🗒Threshold $\pi^-$ Photoproduction on the Neutron.
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arXiv
🗒Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News.
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arXiv
🗒Phase Decoherence of Gravitational Wave Backgrounds.
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arXiv
🗒Electromagnetic & Weak Probes: Experimental Overview.
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arXiv
🗒SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation.
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arXiv
🗒Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and...
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arXiv
🗒Attacking with bitcoin: Using Bitcoin to Build Resilient Botnet Armies.
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arXiv
🗒Pixel Consensus Voting for Panoptic Segmentation.
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arXiv
🗒Adversarial Robustness through Regularization: A Second-Order Approach.
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