margin-based learning

Margin in Abstract Spaces COLT 2026 Hierarchy-aware Biased Bound Margin Loss Function for Hierarchical Text Classification ACL 2024 Margin-Based Active Learning of Classifiers JMLR 2024 The Implicit Bias of Gradient Descent on Separable Multiclass Data NeurIPS 2024 Boosting Transductive Few-Shot Fine-Tuning With Margin-Based Uncertainty Weighting and Probability Regularization CVPR 2023 Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection ICML 2023 UniFace: Unified Cross-Entropy Loss for Deep Face Recognition ICCV 2023 Learning Distinctive Margin Toward Active Domain Adaptation CVPR 2022 Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation NeurIPS 2022 An online passive-aggressive algorithm for difference-of-squares classification NeurIPS 2021 Learning Local Descriptors With a CDF-Based Dynamic Soft Margin ICCV 2019 Learning convex polytopes with margin NeurIPS 2018 Learning latent variable structured prediction models with Gaussian perturbations NeurIPS 2018 Maximum Margin Interval Trees NeurIPS 2017 Sample and Computationally Efficient Learning Algorithms under S-Concave Distributions NeurIPS 2017 Active Nearest-Neighbor Learning in Metric Spaces NeurIPS 2016 Large-Margin Softmax Loss for Convolutional Neural Networks ICML 2016 Learning Deep Representation for Imbalanced Classification CVPR 2016 Quantum Perceptron Models NeurIPS 2016 Doubly Aggressive Selective Sampling Algorithms for Classification AISTATS 2014 Maximum Margin Multiclass Nearest Neighbors ICML 2014 Efficient Active Learning of Halfspaces: an Aggressive Approach ICML 2013 Learning Halfspaces with the Zero-One Loss: Time-Accuracy Tradeoffs NeurIPS 2012 A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning NeurIPS 2008 Tighter Bounds for Structured Estimation NeurIPS 2008