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

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arXiv
🗒CT organ segmentation using GPU data augmentation, unsupervised labels and IOU loss.
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arXiv
🗒Prioritizing Starting States for Reinforcement Learning.
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arXiv
🗒Intra-class Variation Isolation in Conditional GANs.
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arXiv
🗒Lagged correlation-based deep learning for directional trend change prediction in financi...
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arXiv
🗒Patch-based Progressive 3D Point Set Upsampling.
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arXiv
🗒A Compact Embedding for Facial Expression Similarity.
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arXiv
🗒Theory Vision talk at LHCP2018.
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arXiv
🗒The Untold Secrets of Operational Wi-Fi Calling Services: Vulnerabilities, Attacks, and C...
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arXiv
🗒Bi-Objective Optimization for Energy Aware Internet of Things Service Composition.
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arXiv
🗒Generalizing semi-supervised generative adversarial networks to regression.
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arXiv
🗒Emerging Edge Computing Technologies for Distributed Internet of Things (IoT) Systems.
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arXiv
🗒Synthesizing Tabular Data using Generative Adversarial Networks.
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arXiv
🗒Scaling Configuration of Energy Harvesting Sensors with Reinforcement Learning.
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arXiv
🗒Fitness Estimation in Models of Genetic Evolution of Asexual Populations.
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arXiv
🗒ShelfNet for Real-time Semantic Segmentation.
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304 views
arXiv
🗒Adversarial Examples as an Input-Fault Tolerance Problem.
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arXiv
🗒Active Learning in Recommendation Systems with Multi-level User Preferences.
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arXiv
🗒Rethinking clinical prediction: Why machine learning must consider year of care and featu...
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arXiv
🗒Using ATLAS@Home to exploit extra CPU from busy grid sites.
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arXiv
🗒Are All Training Examples Created Equal? An Empirical Study.
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arXiv
🗒An Introduction to Deep Reinforcement Learning.
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97 views