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

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arXiv
🗒Out of Nowhere: Spacetime from causality: causal set theory.
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arXiv
🗒Misplaced Trust: Measuring the Interference of Machine Learning in Human Decision-Making.
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arXiv
🗒Head2Head: Video-based Neural Head Synthesis.
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arXiv
🗒CovidNet: To Bring the Data Transparency in Era of COVID-19.
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arXiv
🗒When Dictionary Learning Meets Deep Learning: Deep Dictionary Learning and Coding Network...
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arXiv
🗒Large scale evaluation of importance maps in automatic speech recognition.
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arXiv
🗒Correlated Mixed Membership Modeling of Somatic Mutations.
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arXiv
🗒CHEER: Rich Model Helps Poor Model via Knowledge Infusion.
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arXiv
🗒Succinct Trit-array Trie for Scalable Trajectory Similarity Search.
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arXiv
🗒Team Neuro at SemEval-2020 Task 8: Multi-Modal Fine Grain Emotion Classification of Memes...
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arXiv
🗒SpotFast Networks with Memory Augmented Lateral Transformers for Lipreading.
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arXiv
🗒Global Optimization of Gaussian processes.
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arXiv
🗒Extracting Daily Dosage from Medication Instructions in EHRs: An Automated Approach and L...
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arXiv
🗒COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification.
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arXiv
🗒A singular way to search for heavy resonances in missing energy events.
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arXiv
🗒Gravitational Decoherence of Dark Matter.
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arXiv
🗒Modeling and detecting resonant tides of exotic compact objects.
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arXiv
🗒Collective scalarization or tachyonization: when averaging fails.
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arXiv
🗒Azimuthal angle for boson-jet production in the back-to-back limit.
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arXiv
🗒Probing Lepton Flavor Models at Future Neutrino Experiments.
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