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

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arXiv
🗒Health Indicator Forecasting for Improving Remaining Useful Life Estimation.
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arXiv
🗒Applied Awareness: Test-Driven GUI Development using Computer Vision and Cryptography.
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arXiv
🗒Learning to Incentivize Other Learning Agents.
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arXiv
🗒On Mixup Regularization.
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arXiv
🗒Activity-based contact network scaling and epidemic propagation in metropolitan areas.
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arXiv
🗒Map3D: Registration Based Multi-Object Tracking on 3D Serial Whole Slide Images.
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arXiv
🗒Learning normalizing flows from Entropy-Kantorovich potentials.
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arXiv
🗒Towards Robust Fine-grained Recognition by Maximal Separation of Discriminative Features.
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arXiv
🗒Revisiting visual-inertial structure from motion for odometry and SLAM initialization.
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arXiv
🗒Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty.
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arXiv
🗒Higher-order interactions in statistical physics and machine learning: A non-parametric s...
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arXiv
🗒Fair Data Integration.
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arXiv
🗒Affective Movement Generation using Laban Effort and Shape and Hidden Markov Models.
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arXiv
🗒Robust Detection of Adaptive Spammers by Nash Reinforcement Learning.
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arXiv
🗒Empirical Time Complexity of Generic Dijkstra Algorithm.
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arXiv
🗒Deterministic Gaussian Averaged Neural Networks.
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arXiv
🗒Joint Training of Variational Auto-Encoder and Latent Energy-Based Model.
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arXiv
🗒IDEAL: Inexact DEcentralized Accelerated Augmented Lagrangian Method.
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arXiv
🗒Bandits with Partially Observable Offline Data.
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arXiv
🗒Is deep learning necessary for simple classification tasks?.
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