decision boundary

CLEAR: Cumulative LEARning for One-Shot One-Class Image Recognition CVPR 2018 Decision Boundary Analysis of Adversarial Examples ICLR 2018 Empirical Study of the Topology and Geometry of Deep Networks CVPR 2018 Large Margin Deep Networks for Classification NeurIPS 2018 MetaGAN: An Adversarial Approach to Few-Shot Learning NeurIPS 2018 Robustness of classifiers to uniform ℓ_p and Gaussian noise AISTATS 2018 Robustness of Classifiers to Universal Perturbations: A Geometric Perspective ICLR 2018 Thermometer Encoding: One Hot Way To Resist Adversarial Examples ICLR 2018 Tropical Geometry of Deep Neural Networks ICML 2018 Virtual Class Enhanced Discriminative Embedding Learning NeurIPS 2018 Building a Regular Decision Boundary With Deep Networks CVPR 2017 Fairness Constraints: Mechanisms for Fair Classification AISTATS 2017 Rescale-Invariant SVM for Binary Classification IJCAI 2017 Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations IJCAI 2017 Universal Adversarial Perturbations CVPR 2017 Expressiveness of Rectifier Networks ICML 2016 Robustness of classifiers: from adversarial to random noise NeurIPS 2016 Decision Boundary for Discrete Bayesian Network Classifiers JMLR 2015 Classification Using Geometric Level Sets JMLR 2010 Humans Learn Using Manifolds, Reluctantly NeurIPS 2010 A Robust Minimax Approach to Classification JMLR 2002