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

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arXiv
🗒Analyzing GPU Tensor Core Potential for Fast Reductions.
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arXiv
🗒Multi-Agent Deep Reinforcement Learning for Large-scale Traffic Signal Control.
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arXiv
🗒Communication-efficient distributed SGD with Sketching.
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arXiv
🗒Machine Learning Based Prediction and Classification of Computational Jobs in Cloud Compu...
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arXiv
🗒Robust Influence Maximization for Hyperparametric Models.
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arXiv
🗒From primordial seed magnetic fields to the galactic dynamo.
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arXiv
🗒Sparse Representations for Object and Ego-motion Estimation in Dynamic Scenes.
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arXiv
🗒Learning Quantum Graphical Models using Constrained Gradient Descent on the Stiefel Manif...
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arXiv
🗒Control over Skies: Survivability, Coverage and Mobility Laws for Hierarchical Aerial Bas...
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arXiv
🗒Jointly Learning Explainable Rules for Recommendation with Knowledge Graph.
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arXiv
🗒Deep Learning-Based Constellation Optimization for Physical Network Coding in Two-Way Rel...
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arXiv
🗒Adaptive Power System Emergency Control using Deep Reinforcement Learning.
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arXiv
🗒Learning to Modulate for Non-coherent MIMO.
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arXiv
🗒Beyond the Poles in Attractor Models of Inflation.
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arXiv
🗒Linear Bandits with Feature Feedback.
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arXiv
🗒NeuTra-lizing Bad Geometry in Hamiltonian Monte Carlo Using Neural Transport.
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arXiv
🗒Skew-Fit: State-Covering Self-Supervised Reinforcement Learning.
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arXiv
🗒Scalable and Congestion-aware Routing for Autonomous Mobility-on-Demand via Frank-Wolfe O...
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arXiv
🗒Image Privacy Prediction Using Deep Neural Networks.
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arXiv
🗒RoPAD: Robust Presentation Attack Detection through Unsupervised Adversarial Invariance.
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arXiv
🗒Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets.
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