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

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arXiv
🗒Provably Efficient Maximum Entropy Exploration.
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arXiv
🗒Online Model Distillation for Efficient Video Inference.
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arXiv
🗒Variational Coarse-Graining for Molecular Dynamics.
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arXiv
🗒On Configurable Defense against Adversarial Example Attacks.
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arXiv
🗒Generalizations of Laver tables.
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arXiv
🗒Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Dista...
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arXiv
🗒Knockoff Nets: Stealing Functionality of Black-Box Models.
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arXiv
🗒Neural Word Search in Historical Manuscript Collections.
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arXiv
🗒ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape.
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arXiv
🗒Multi-Hop Communication for nTorrent in a Wireless Ad Hoc Environment.
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arXiv
🗒Learning Implicit Fields for Generative Shape Modeling.
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arXiv
🗒High-Quality Face Capture Using Anatomical Muscles.
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arXiv
🗒Towards Hiding Adversarial Examples from Network Interpretation.
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arXiv
🗒Cyber Anomaly Detection Using Graph-node Role-dynamics.
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arXiv
🗒Adversarial Transfer Learning.
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240 views
arXiv
🗒PriMe: Per-Flow Network Measurement by Combining SRAM with DRAM.
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arXiv
🗒Measuring and Characterizing Generalization in Deep Reinforcement Learning.
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arXiv
🗒A new multilayer optical film optimal method based on deep q-learning.
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arXiv
🗒Nonlinear Conjugate Gradients For Scaling Synchronous Distributed DNN Training.
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arXiv
🗒Adversarial Defense of Image Classification Using a Variational Auto-Encoder.
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arXiv
🗒The Calabi-Yau Landscape: from Geometry, to Physics, to Machine-Learning.
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