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

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arXiv
🗒Learning-based vs Model-free Adaptive Control of a MAV under Wind Gust.
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arXiv
🗒Efficient-CapsNet: Capsule Network with Self-Attention Routing.
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arXiv
🗒Battery-constrained Federated Edge Learning in UAV-enabled IoT for B5G/6G Networks.
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arXiv
🗒Finslerian indicatrices as algebraic curves and surfaces.
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arXiv
🗒SA-Net: Shuffle Attention for Deep Convolutional Neural Networks.
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arXiv
🗒ShufText: A Simple Black Box Approach to Evaluate the Fragility of Text Classification Mo...
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arXiv
🗒ICodeNet -- A Hierarchical Neural Network Approach for Source Code Author Identification.
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arXiv
🗒Can We Automate Scientific Reviewing?.
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arXiv
🗒OpenMatch: An Open-Source Package for Information Retrieval.
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arXiv
🗒Deep Model Compression based on the Training History.
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arXiv
🗒Actor-Critic Learning Based QoS-Aware Scheduler for Reconfigurable Wireless Networks.
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arXiv
🗒The effect of differential victim crime reporting on predictive policing systems.
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arXiv
🗒Neutron-Induced, Single-Event Effects on Neuromorphic Event-based Vision Sensor: A First...
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arXiv
🗒Synthetic Data and Hierarchical Object Detection in Overhead Imagery.
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arXiv
🗒Modeling how social network algorithms can influence opinion polarization.
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arXiv
🗒Belief function-based semi-supervised learning for brain tumor segmentation.
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arXiv
🗒Relaxed Clustered Hawkes Process for Procrastination Modeling in MOOCs.
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arXiv
🗒Can Machine Learning Help in Solving Cargo Capacity Management Booking Control Problems?.
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arXiv
🗒Stimuli-Sensitive Hawkes Processes for Personalized Student Procrastination Modeling.
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arXiv
🗒Reduced operator inference for nonlinear partial differential equations.
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arXiv
🗒Scalable Voltage Control using Structure-Driven Hierarchical Deep Reinforcement Learning.
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