conftrace_

margin-based loss

19 papers

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Co-occurring keywords

support vector machine (978) face recognition (469) negative sampling (196) subject recommendation (4) burst attention (2) embedding alignment (80) label noise (498) natural language inference (1287) embedding space (298) semi-supervised learning (2341)

Papers

ReFINE: A Reward-Based Framework for Interpretable and Nuanced Evaluation of Radiology Report Generation AAAI 2026
AQUAFace: Age-Invariant Quality Adaptive Face Recognition for Unconstrained Selfie vs ID Verification AAAI 2025
NBF at SemEval-2025 Task 5: Light-Burst Attention Enhanced System for Multilingual Subject Recommendation SEMEVAL 2025
NBF at SemEval-2025 Task 5: Light-Burst Attention Enhanced System for Multilingual Subject Recommendation ACL 2025
Introducing Verification Task of Set Consistency with Set-Consistency Energy Networks ACL 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
Smoothly Giving up: Robustness for Simple Models AISTATS 2023
Leaky Hockey Stick Loss: The First Negatively Divergent Margin-based Loss Function for Classification JMLR 2023
Prototype-Anchored Learning for Learning with Imperfect Annotations ICML 2022
AdaFace: Quality Adaptive Margin for Face Recognition CVPR 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
Learning to Rank for Plausible Plausibility ACL 2019
A Margin-based Loss with Synthetic Negative Samples for Continuous-output Machine Translation EMNLP 2019
The Pessimistic Limits and Possibilities of Margin-based Losses in Semi-supervised Learning NIPS 2018
beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data NIPS 2016
A Unified View on Multi-class Support Vector Classification JMLR 2016
Classification Using Geometric Level Sets JMLR 2010