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

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arXiv
🗒Deep Neural Networks for Nonlinear Model Order Reduction of Unsteady Flows.
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arXiv
🗒Partial Trace Regression and Low-Rank Kraus Decomposition.
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arXiv
🗒Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation.
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arXiv
🗒Feedback Neural Network based Super-resolution of DEM for generating high fidelity features.
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arXiv
🗒Meta-SAC: Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient.
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arXiv
🗒Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control.
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arXiv
🗒Knowledge Distillation Beyond Model Compression.
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arXiv
🗒Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity.
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arXiv
🗒Abstractive and mixed summarization for long-single documents.
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arXiv
🗒Model Distillation for Revenue Optimization: Interpretable Personalized Pricing.
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arXiv
🗒A Few-Shot Sequential Approach for Object Counting.
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arXiv
🗒Spatial Iterated Prisoner's Dilemma as a Transformation Semigroup.
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arXiv
🗒Fact-based Text Editing.
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arXiv
🗒Dynamic scale anomalous transport in QCD with electromagnetic background.
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arXiv
🗒Federated Learning and Differential Privacy: Software tools analysis, the FL fr...…
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arXiv
🗒Metric perturbations in a cosmological model with gravitational particle production.
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arXiv
🗒The Impact of Explanations on AI Competency Prediction in VQA.
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arXiv
🗒ACFD: Asymmetric Cartoon Face Detector.
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arXiv
🗒Deep brain state classification of MEG data.
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arXiv
🗒Decentralized Blockchain for Privacy-Preserving Large-Scale Contact Tracing.
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