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arXiv
🗒Topology Distance: A Topology-Based Approach For Evaluating Generative Adversarial Networks.
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arXiv
🗒DSSLP: A Distributed Framework for Semi-supervised Link Prediction.
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arXiv
🗒Directed and elliptic flow of identified hadrons, high-$p_{\rm T}$ charged hadrons and li...
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arXiv
🗒Membership Inference Attacks and Defenses in Supervised Learning via Generalization Gap.
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arXiv
🗒Training Adversarial Agents to Exploit Weaknesses in Deep Control Policies.
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arXiv
🗒A Data Dependent Algorithm for Querying Earth Mover's Distance with Low Doubling Dimension.
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arXiv
🗒Deep Learning for Biomedical Image Reconstruction: A Survey.
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arXiv
🗒Two-stage breast mass detection and segmentation system towards automated high-resolution...
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arXiv
🗒Sub-Goal Trees -- a Framework for Goal-Based Reinforcement Learning.
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arXiv
🗒Provable Robust Learning Based on Transformation-Specific Smoothing.
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arXiv
🗒Affinity guided Geometric Semi-Supervised Metric Learning.
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arXiv
🗒Joint 2D-3D Breast Cancer Classification.
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arXiv
🗒The dijet mass distribution in heavy ion collisions.
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arXiv
🗒Almost Public Quantum Coins.
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arXiv
🗒TGGLines: A Robust Topological Graph Guided Line Segment Detector for Low Quality Binary...
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arXiv
🗒MNN: A Universal and Efficient Inference Engine.
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arXiv
🗒SilhoNet-Fisheye: Adaptation of A ROI Based Object Pose Estimation Network to Monocular F...
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arXiv
🗒On the Convergence of Nesterov's Accelerated Gradient Method in Stochastic Settings.
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arXiv
🗒Formal Synthesis of Monitoring and Detection Systems for Secure CPS Implementations.
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arXiv
🗒Brain-Inspired Model for Incremental Learning Using a Few Examples.
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