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

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arXiv
🗒Ultralight Scalar Decay and the Hubble Tension.
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arXiv
🗒Extracting the main trend in a dataset: the Sequencer algorithm.
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arXiv
🗒A Linear-Time Algorithm for Discrete Radius Optimally Augmenting Paths in a Metric Space.
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arXiv
🗒Learning Reward Functions from Diverse Sources of Human Feedback: Optimally Integrating D...
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arXiv
🗒Neural Architecture Design for GPU-Efficient Networks.
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arXiv
🗒Electric But Not Eclectic: Thermal Relic Dark Matter for the XENON1T Excess.
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arXiv
🗒The flag manifold as a tool for analyzing and comparing data sets.
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arXiv
🗒Topological Insights in Sparse Neural Networks.
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arXiv
🗒Multilabel Classification by Hierarchical Partitioning and Data-dependent Grouping.
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arXiv
🗒Machine learning the real discriminant locus.
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arXiv
🗒Time for a Background Check! Uncovering the impact of Background Features on Deep Neural...
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arXiv
🗒Kaon parton distributions: revealing Higgs modulation of emergent mass.
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arXiv
🗒The variation of the sum of edge lengths in linear arrangements of trees.
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arXiv
🗒Expressive curves.
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arXiv
🗒Practical applications of metric space magnitude and weighting vectors.
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arXiv
🗒Pareto Active Learning with Gaussian Processes and Adaptive Discretization.
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arXiv
🗒Anycast Agility: Adaptive Routing to Manage DDoS.
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arXiv
🗒Validating psychometric survey responses.
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arXiv
🗒Blacklight: Defending Black-Box Adversarial Attacks on Deep Neural Networks.
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arXiv
🗒Class-Similarity Based Label Smoothing for Generalized Confidence Calibration.
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