margin-based loss

ReFINE: A Reward-Based Framework for Interpretable and Nuanced Evaluation of Radiology Report Generation AAAI 2026 A Common Pitfall of Margin-based Language Model Alignment: Gradient Entanglement ICLR 2025 AQUAFace: Age-Invariant Quality Adaptive Face Recognition for Unconstrained Selfie vs ID Verification AAAI 2025 Introducing Verification Task of Set Consistency with Set-Consistency Energy Networks ACL 2025 NBF at SemEval-2025 Task 5: Light-Burst Attention Enhanced System for Multilingual Subject Recommendation SemEval 2025 MetaVers: Meta-Learned Versatile Representations for Personalized Federated Learning WACV 2024 Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation CVPR 2024 Ada$^2$NPT: An Adaptive Nearest Proxies Triplet Loss for Attribute-Aware Face Recognition with Adaptively Compacted Feature Learning ACML 2023 Leaky Hockey Stick Loss: The First Negatively Divergent Margin-based Loss Function for Classification JMLR 2023 Smoothly Giving up: Robustness for Simple Models AISTATS 2023 AdaFace: Quality Adaptive Margin for Face Recognition CVPR 2022 Learning Towards The Largest Margins ICLR 2022 Prototype-Anchored Learning for Learning with Imperfect Annotations ICML 2022 Rethinking Preventing Class-Collapsing in Metric Learning With Margin-Based Losses ICCV 2021 CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition CVPR 2020 A Margin-based Loss with Synthetic Negative Samples for Continuous-output Machine Translation EMNLP 2019 Learning to Rank for Plausible Plausibility ACL 2019 Smooth Loss Functions for Deep Top-k Classification ICLR 2018 The Pessimistic Limits and Possibilities of Margin-based Losses in Semi-supervised Learning NeurIPS 2018 A Unified View on Multi-class Support Vector Classification JMLR 2016 beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data NeurIPS 2016 Classification Using Geometric Level Sets JMLR 2010