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

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arXiv
🗒E.T.: Entity-Transformers. Coreference augmented Neural Language Model for richer mention...
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arXiv
🗒Debugging Tests for Model Explanations.
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arXiv
🗒Improving the Quantum Approximate Optimization Algorithm with postselection.
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arXiv
🗒Preference-Based Learning for User-Guided HZD Gait Generation on Bipedal Walking Robots.
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arXiv
🗒Coherence Traffic in Manycore Processors with Opaque Distributed Directories.
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arXiv
🗒Using GANs to Synthesise Minimum Training Data for Deepfake Generation.
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arXiv
🗒Privacy Preservation in Federated Learning: Insights from the GDPR Perspective.
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arXiv
🗒Applications of Online Nonnegative Matrix Factorization to Image and Time-Series Data.
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arXiv
🗒EstBERT: A Pretrained Language-Specific BERT for Estonian.
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arXiv
🗒Empirically Characterizing the Buffer Behaviour of Real Devices.
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arXiv
🗒Forecasting Emergency Department Capacity Constraints for COVID Isolation Beds.
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arXiv
🗒Colorado in Context: Congressional Redistricting and Competing Fairness Criteria in Color...
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arXiv
🗒Bayesian inference for transportation origin-destination matrices: the Poisson-inverse Ga...
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arXiv
🗒Testing for Typicality with Respect to an Ensemble of Learned Distributions.
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arXiv
🗒Unsupervised Video Representation Learning by Bidirectional Feature Prediction.
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arXiv
🗒Machine Learning Based Path Planning for Improved Rover Navigation (Pre-Print Version).
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arXiv
🗒Sketch and Scale: Geo-distributed tSNE and UMAP.
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arXiv
🗒Exploring Gender Disparities in Time to Diagnosis.
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arXiv
🗒Continuous Perception for Classifying Shapes and Weights of Garmentsfor Robotic Vision Ap...
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arXiv
🗒Quantifying and Learning Disentangled Representations with Limited Supervision.
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arXiv
🗒Bi-tuning of Pre-trained Representations.
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116 views