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

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arXiv
🗒Probing neutrino quantum decoherence at reactor experiments.
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arXiv
🗒Predictions for $\mathrm{Z}$-boson production in association with a $\mathrm{b}$-jet at $...
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arXiv
🗒Computing-in-Memory for Performance and Energy Efficient Homomorphic Encryption.
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arXiv
🗒Electromagnetic tests of horizonless rotating black hole mimickers.
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🗒Is Time to Intervention in the COVID-19 Outbreak Really Important? A Global Sensitivity A...
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arXiv
🗒Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavi...
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arXiv
🗒Understanding Scanned Receipts.
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arXiv
🗒GPU-accelerated massive black hole binary parameter estimation with LISA.
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arXiv
🗒Robust Recovery of Primitive Variables in Relativistic Ideal Magnetohydrodynamics.
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arXiv
🗒Fractional-order SEIQRDP model for simulating the dynamics of COVID-19 epidemic.
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arXiv
🗒Neural Subdivision.
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arXiv
🗒Tractable learning in under-excited power grids.
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arXiv
🗒The effect of social balance on social fragmentation.
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arXiv
🗒Spying on your neighbors: Fine-grained probing of contextual embeddings for information a...
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arXiv
🗒Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent B...
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arXiv
🗒Semi-supervised lung nodule retrieval.
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arXiv
🗒A Systematic Media Frame Analysis of 1.5 Million New York Times Articles from 2000 to 2017.
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arXiv
🗒Learning-based Tracking of Fast Moving Objects.
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arXiv
🗒Electoral Forecasting Using a Novel Temporal Attenuation Model: Predicting the US Preside...
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arXiv
🗒Spinning Black Hole Binary Dynamics, Scattering Amplitudes and Effective Field Theory.
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