conftrace_

margin loss

33 papers

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Co-occurring keywords

class imbalance (555) metric learning (1190) face recognition (469) binary classification (678) graph neural network (3962) loss function (462) bias mitigation (500) boosting algorithm (78) generalization bound (652) speaker embedding (350)

Papers

MM-TS: Multi-Modal Temperature and Margin Schedules for Contrastive Learning with Long-Tail Data WACV 2026
Difficulty-aware Balancing Margin Loss for Long-tailed Recognition AAAI 2025
Exploring Energy-Based Models for Out-of-Distribution Detection in Dialect Identification INTERSPEECH 2024
Challenging margin-based speaker embedding extractors by using the variational information bottleneck INTERSPEECH 2024
Unified Binary and Multiclass Margin-Based Classification JMLR 2024
Stronger and Transferable Node Injection Attacks AAAI 2024
Hierarchy-aware Biased Bound Margin Loss Function for Hierarchical Text Classification ACL 2024
The Adversarial Consistency of Surrogate Risks for Binary Classification NIPS 2023
RMLVQA: A Margin Loss Approach for Visual Question Answering With Language Biases CVPR 2023
Boosting Few-Shot Open-Set Recognition with Multi-Relation Margin Loss IJCAI 2023
MADG: Margin-based Adversarial Learning for Domain Generalization NIPS 2023
Improving Unsupervised Relation Extraction by Augmenting Diverse Sentence Pairs EMNLP 2023
Adaptive Hyper-parameter Learning for Deep Semantic Retrieval EMNLP 2023
Bias-Variance Decompositions for Margin Losses AISTATS 2022
Scoring of Large-Margin Embeddings for Speaker Verification: Cosine or PLDA? INTERSPEECH 2022
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification ICML 2022
JEL: Applying End-to-End Neural Entity Linking in JPMorgan Chase AAAI 2021
PML: Progressive Margin Loss for Long-Tailed Age Classification CVPR 2021
Fairness-aware Class Imbalanced Learning EMNLP 2021
Few-Shot Object Detection via Association and DIscrimination NIPS 2021
Mitigating Bias in Face Recognition Using Skewness-Aware Reinforcement Learning CVPR 2020
Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition CVPR 2020
An Analysis of the Utility of Explicit Negative Examples to Improve the Syntactic Abilities of Neural Language Models ACL 2020
Hyperspherical Prototype Networks NIPS 2019
Deep Metric Learning With Tuplet Margin Loss ICCV 2019