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

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arXiv
🗒Approximating Optimal Bidirectional Macro Schemes.
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arXiv
🗒Learning View and Target Invariant Visual Servoing for Navigation.
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arXiv
🗒Approximating the Hotelling Observer with Autoencoder-Learned Efficient Channels for Bina...
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arXiv
🗒Moving the California distributed CMS xcache from bare metal into containers using Kubern...
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🗒The Impact of Hole Geometry on Relative Robustness of In-Painting Networks: An Empirical...
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arXiv
🗒Reduced Dilation-Erosion Perceptron for Binary Classification.
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arXiv
🗒Touch the Wind: Simultaneous Airflow, Drag and Interaction Sensing on a Multirotor.
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arXiv
🗒Predictions for the CMB from an anisotropic quantum bounce.
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arXiv
🗒Bounds on light sterile neutrino mass and mixing from cosmology and laboratory searches.
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arXiv
🗒Bayesian System ID: Optimal management of parameter, model, and measurement uncertainty.
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arXiv
🗒Plasticity-Enhanced Domain-Wall MTJ Neural Networks for Energy-Efficient Online Learning.
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🗒Kleister: A novel task for Information Extraction involving Long Documents with Complex L...
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arXiv
🗒AGL: a Scalable System for Industrial-purpose Graph Machine Learning.
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arXiv
🗒Individual Claims Forecasting with Bayesian Mixture Density Networks.
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arXiv
🗒Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model.
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arXiv
🗒Cluster Pruning: An Efficient Filter Pruning Method for Edge AI Vision Applications.
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arXiv
🗒LAQP: Learning-based Approximate Query Processing.
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arXiv
🗒Multi-Output Gaussian Processes for Multi-Population Longevity Modeling.
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arXiv
🗒Harnessing Multi-View Perspective of Light Fields for Low-Light Imaging.
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arXiv
🗒Team O2AS at the World Robot Summit 2018: An Approach to Robotic Kitting and Assembly Tas...
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arXiv
🗒TIME: A Transparent, Interpretable, Model-Adaptive and Explainable Neural Network for Dyn...
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