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

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arXiv
🗒Unnormalized Variational Bayes.
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arXiv
🗒Towards a Formal Foundation of Intermittent Computing.
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arXiv
🗒Exploiting stance hierarchies for cost-sensitive stance detection of Web documents.
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arXiv
🗒Caustics in gravitational lensing by mixed binary systems.
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arXiv
🗒Control Strategies for COVID-19 Epidemic with Vaccination, Shield Immunity and Quarantine...
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arXiv
🗒Communication-Efficient Federated Learning via Optimal Client Sampling.
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arXiv
🗒Crowdsampling the Plenoptic Function.
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arXiv
🗒Quantitative Understanding of VAE by Interpreting ELBO as Rate Distortion Cost of Transfo...
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arXiv
🗒Deep Multi-View Spatiotemporal Virtual Graph Neural Network for Significant Citywide Ride...
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arXiv
🗒Visual Analysis of Discrimination in Machine Learning.
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arXiv
🗒Change Sign Detection with Differential MDL Change Statistics and its Applications to COV...
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arXiv
🗒High energy collision without fine tuning: Acceleration and multiple collisions of shells...
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arXiv
🗒Domain Adaptive Semantic Segmentation Using Weak Labels.
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arXiv
🗒Learning interaction kernels in stochastic systems of interacting particles from multiple...
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arXiv
🗒An Improvement for Capsule Networks using Depthwise Separable Convolution.
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arXiv
🗒Rethinking Recurrent Neural Networks and other Improvements for Image Classification.
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arXiv
🗒Prediction of hierarchical time series using structured regularization and its applicatio...
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arXiv
🗒Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation.
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arXiv
🗒Fast, Structured Clinical Documentation via Contextual Autocomplete.
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arXiv
🗒Detecting Suspicious Behavior: How to Deal with Visual Similarity through Neural Networks.
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arXiv
🗒Federated Visualization: A Privacy-preserving Strategy for Decentralized Visualization.
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