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

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arXiv
🗒Word2Vec: Optimal Hyper-Parameters and Their Impact on NLP Downstream Tasks.
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arXiv
🗒Sentiment Analysis in Drug Reviews using Supervised Machine Learning Algorithms.
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arXiv
🗒Memory Organization for Energy-Efficient Learning and Inference in Digital Neuromorphic A...
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arXiv
🗒Solving Raven's Progressive Matrices with Multi-Layer Relation Networks.
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arXiv
🗒Bayesian Hierarchical Bernoulli-Weibull Mixture Model for Extremely Rare Events.
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arXiv
🗒Further Results on Colored Range Searching.
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arXiv
🗒COVID-19 Image Data Collection.
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arXiv
🗒Learning to Correct Overexposed and Underexposed Photos.
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arXiv
🗒Heavy-tailed Representations, Text Polarity Classification & Data Augmentation.
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arXiv
🗒Applying Bayesian Hierarchical Probit Model to Interview Grade Evaluation.
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arXiv
🗒Topological torus fibrations on Calabi--Yau manifolds via Kato--Nakayama spaces.
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arXiv
🗒Learning Layout and Style Reconfigurable GANs for Controllable Image Synthesis.
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arXiv
🗒Interval Neural Networks: Uncertainty Scores.
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arXiv
🗒Cost-Sensitive BERT for Generalisable Sentence Classification with Imbalanced Data.
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arXiv
🗒Predicting Legal Proceedings Status: an Approach Based on Sequential Text Data.
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arXiv
🗒Horndeski Gravity as $D\rightarrow4$ Limit of Gauss-Bonnet.
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arXiv
🗒Common-Knowledge Concept Recognition for SEVA.
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arXiv
🗒Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks.
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arXiv
🗒Egoshots, an ego-vision life-logging dataset and semantic fidelity metric to evaluate div...
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arXiv
🗒T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding.
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