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

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arXiv
🗒Improving Event Detection using Contextual Word and Sentence Embeddings.
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arXiv
🗒Low-Power Object Counting with Hierarchical Neural Networks.
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arXiv
🗒Optimal evolutionary decision-making to store immune memory.
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arXiv
🗒Efficient computation and analysis of distributional Shapley values.
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arXiv
🗒Decoder-free Robustness Disentanglement without (Additional) Supervision.
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arXiv
🗒Uncertainty Prediction for Deep Sequential Regression Using Meta Models.
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arXiv
🗒Networks with Growth and Preferential Attachment: Modeling and Applications.
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arXiv
🗒Efficient Neural Network Deployment for Microcontroller.
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arXiv
🗒Distinguishing Black Hole and Naked Singularity in MOG via Inertial Frame Dragging Effect.
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arXiv
🗒Spectral Methods for Ranking with Scarce Data.
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arXiv
🗒Lack of evidence for a substantial rate of templated mutagenesis in B cell diversification.
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arXiv
🗒Clustering of Electromagnetic Showers and Particle Interactions with Graph Neural Network...
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arXiv
🗒Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes.
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arXiv
🗒High-recall causal discovery for autocorrelated time series with latent confounders.
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arXiv
🗒Gravitational Waves, Holography, and Black Hole Microstates.
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arXiv
🗒Dalek -- a deep-learning emulator for TARDIS.
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arXiv
🗒TLIO: Tight Learned Inertial Odometry.
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arXiv
🗒Selecting Regions of Interest in Large Multi-Scale Images for Cancer Pathology.
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arXiv
🗒Accurate Bounding-box Regression with Distance-IoU Loss for Visual Tracking.
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arXiv
🗒Hospitalization dynamics during the first COVID-19 pandemic wave: SIR modelling compared...
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arXiv
🗒Coarse graining spin foam quantum gravity -- a review.
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