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

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arXiv
🗒Generative Model-Based Loss to the Rescue: A Method to Overcome Annotation Errors for Dep...
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arXiv
🗒Deep Partial Updating.
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arXiv
🗒A Minimum-Risk Dynamic Assignment Mechanism Along with an Approximation, Heuristics, and...
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arXiv
🗒ARC-Net: Activity Recognition Through Capsules.
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arXiv
🗒Guided Fine-Tuning for Large-Scale Material Transfer.
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arXiv
🗒Proposal on Application of the Multi-Wire Proportional Chambers of the LHCb MUON Detector...
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arXiv
🗒Approximation algorithms for car-sharing problems.
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arXiv
🗒Meta-active Learning in Probabilistically-Safe Optimization.
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arXiv
🗒Space-time smoothing models for sub-national measles routine immunization coverage estima...
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arXiv
🗒PINT: Probabilistic In-band Network Telemetry.
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arXiv
🗒Detection as Regression: Certified Object Detection by Median Smoothing.
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arXiv
🗒Learning while Respecting Privacy and Robustness to Distributional Uncertainties and Adve...
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arXiv
🗒Machine Learning Classification of Kuiper Belt Populations.
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arXiv
🗒Soft displaced leptons at the LHC.
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arXiv
🗒GeV-scale neutrinos: interactions with mesons and DUNE sensitivity.
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arXiv
🗒Parsimony in Model Selection: Tools for Assessing Fit Propensity.
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arXiv
🗒A Dynamic Choice Model with Heterogeneous Decision Rules: Application in Estimating the U...
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arXiv
🗒Superradiance in dispersive black hole analogues.
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arXiv
🗒Defending Against Backdoors in Federated Learning with Robust Learning Rate.
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arXiv
🗒Transfer Learning for Electricity Price Forecasting.
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arXiv
🗒Deep Reinforcement Learning and its Neuroscientific Implications.
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