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

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arXiv
🗒Provably-Efficient Double Q-Learning.
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arXiv
🗒Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models.
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arXiv
🗒Multi-view Orthonormalized Partial Least Squares: Regularizations and Deep Extensions.
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arXiv
🗒Predictive Value Generalization Bounds.
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104 views
arXiv
🗒Learning Representations that Support Extrapolation.
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arXiv
🗒Inferring proximity from Bluetooth Low Energy RSSI with Unscented Kalman Smoothers.
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arXiv
🗒Analyzing the Effects of Observation Function Selection in Ensemble Kalman Filtering for...
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arXiv
🗒FC2RN: A Fully Convolutional Corner Refinement Network for Accurate Multi-Oriented Scene...
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arXiv
🗒Biological credit assignment through dynamic inversion of feedforward networks.
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arXiv
🗒AdaScale SGD: A User-Friendly Algorithm for Distributed Training.
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arXiv
🗒$n$-Reference Transfer Learning for Saliency Prediction.
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arXiv
🗒SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization.
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arXiv
🗒DCANet: Learning Connected Attentions for Convolutional Neural Networks.
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arXiv
🗒Multi-Agent Routing Value Iteration Network.
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arXiv
🗒The Trade-Offs of Private Prediction.
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arXiv
🗒Boundary thickness and robustness in learning models.
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arXiv
🗒Attack of the Tails: Yes, You Really Can Backdoor Federated Learning.
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arXiv
🗒Intelligent Warehouse Allocator for Optimal Regional Utilization.
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arXiv
🗒A Benchmark for Inpainting of Clothing Images with Irregular Holes.
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arXiv
🗒Automatic Detection of Major Freeway Congestion Events Using Wireless Traffic Sensor Data...
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