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

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arXiv
🗒Explaining Neural Networks by Decoding Layer Activations.
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arXiv
🗒Parameter Sharing is Surprisingly Useful for Multi-Agent Deep Reinforcement Learning.
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arXiv
🗒Exclusive four-pion photoproduction in ultra-peripheral heavy-ion collisions at RHIC and...
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arXiv
🗒Language Representation Models for Fine-Grained Sentiment Classification.
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arXiv
🗒Modality Dropout for Improved Performance-driven Talking Faces.
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arXiv
🗒Dual Message Passing Neural Network for Molecular Property Prediction.
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arXiv
🗒D2D: Keypoint Extraction with Describe to Detect Approach.
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arXiv
🗒From Prediction to Prescription: AI-Based Optimization of Non-Pharmaceutical Intervention...
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arXiv
🗒Quasi parton distribution functions at NNLO: flavor non-diagonal quark contributions.
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arXiv
🗒COVID-19 and Your Smartphone: BLE-based Smart Contact Tracing.
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arXiv
🗒Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets.
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arXiv
🗒Complex networks for event detection in heterogeneous high volume news streams.
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arXiv
🗒Calibrated Surrogate Losses for Adversarially Robust Classification.
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arXiv
🗒CPAC-Conv: CP-decomposition to Approximately Compress Convolutional Layers in Deep Learning.
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arXiv
🗒A Theory of Auto-Scaling for Resource Reservation in Cloud Services.
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arXiv
🗒Model-Based Risk Assessment for Cyber Physical Systems Security.
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arXiv
🗒L^2UWE: A Framework for the Efficient Enhancement of Low-Light Underwater Images Using Lo...
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arXiv
🗒Tropical flag varieties.
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arXiv
🗒Nonlinear/non-iterative treatment of EFT-motivated gravity.
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arXiv
🗒Operationalizing the Legal Principle of Data Minimization for Personalization.
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