Co-occurring keywords · papers mentioning both
Papers
A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning
AISTATS 2025
Applying Contrastive Learning to Code Vulnerability Type Classification
EMNLP 2024
Perturbation Guiding Contrastive Representation Learning for Time Series Anomaly Detection
IJCAI 2024
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression
ICML 2023
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning
ICML 2022
Rethinking Preventing Class-Collapsing in Metric Learning With Margin-Based Losses
ICCV 2021
Federated Learning with Only Positive Labels
ICML 2020