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

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arXiv
🗒Rare-Event Simulation for Neural Network and Random Forest Predictors.
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arXiv
🗒Deep Active Learning for Joint Classification & Segmentation with Weak Annotator.
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arXiv
🗒Designing for Recommending Intermediate States in A Scientific Workflow Management System.
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arXiv
🗒The Zero Resource Speech Challenge 2020: Discovering discrete subword and word units.
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arXiv
🗒Extreme precision for extreme spin: probing near-extremal black holes using LISA.
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arXiv
🗒Testing gravity with the two-body problem.
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arXiv
🗒Higher-Order Certification for Randomized Smoothing.
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arXiv
🗒On Deep Learning Techniques to Boost Monocular Depth Estimation for Autonomous Navigation.
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arXiv
🗒Transportation Interventions Reshaping NYC Commute: the Probabilistic Simulation Framewor...
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arXiv
🗒Machine Learning for Material Characterization with an Application for Predicting Mechani...
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arXiv
🗒MedICaT: A Dataset of Medical Images, Captions, and Textual References.
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arXiv
🗒Class-Weighted Evaluation Metrics for Imbalanced Data Classification.
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arXiv
🗒How does Weight Correlation Affect the Generalisation Ability of Deep Neural Networks.
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arXiv
🗒Signal classification using weighted orthogonal regression method.
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arXiv
🗒On the Parallel I/O Optimality of Linear Algebra Kernels: Near-Optimal LU Factorization.
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arXiv
🗒Monitoring War Destruction from Space: A Machine Learning Approach.
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arXiv
🗒Towards Data-efficient Modeling for Wake Word Spotting.
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arXiv
🗒On the Efficiency of K-Means Clustering: Evaluation, Optimization, and Algorithm Selection.
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arXiv
🗒Deep generative demixing: Recovering Lipschitz signals from noisy subgaussian mixtures.
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arXiv
Forwarded from DLeX: AI Python (Meysam Asgari)
Paper: https://arxiv.org/abs/2010.05349
Code: https://github.com/AliNajafi1998/ComStream
Dataset: https://www.kaggle.com/thelonecoder/labelled-1000k-covid19-dataset

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arXiv
🗒On Front-end Gain Invariant Modeling for Wake Word Spotting.
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