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arXiv
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Generative Adversarial Active Learning for Unsupervised Outlier Detection.
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arXiv
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Learning Confidence Sets using Support Vector Machines.
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arXiv
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Fluctuation-dissipation relations for stochastic gradient descent.
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arXiv
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Explainable Black-Box Attacks Against Model-based Authentication.
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arXiv
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Active Fairness in Algorithmic Decision Making.
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arXiv
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Celer Network: Bring Internet Scale to Every Blockchain.
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arXiv
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Adversarial Domain Adaptation for Stable Brain-Machine Interfaces.
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arXiv
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Differentially Private Contextual Linear Bandits.
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arXiv
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Adversarial Attacks and Defences: A Survey.
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arXiv
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Cell Grid Architecture for Maritime Route Prediction on AIS Data Streams.
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arXiv
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Open-Ended Content-Style Recombination Via Leakage Filtering.
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arXiv
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DeepSSM: A Deep Learning Framework for Statistical Shape Modeling from Raw Images.
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arXiv
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Predicting the Generalization Gap in Deep Networks with Margin Distributions.
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arXiv
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Improved Gradient-Based Optimization Over Discrete Distributions.
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arXiv
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On the Convergence and Robustness of Batch Normalization.
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arXiv
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Generalization and Regularization in DQN.
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arXiv
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Knowledge-guided Semantic Computing Network.
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arXiv
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AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods.
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arXiv
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Interpreting Adversarial Robustness: A View from Decision Surface in Input Space.
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arXiv
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Auto-conditioned Recurrent Mixture Density Networks for Complex Trajectory Generation.
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