Publication | Closed Access

PSSCL: A progressive sample selection framework with contrastive loss designed for noisy labels

EngineeringMachine LearningData ScienceData MiningPattern RecognitionContrastive Loss DesignedNoisy DataStatistical InferenceStatistical Learning TheorySemi-supervised LearningSupervised LearningStatisticsNoisy Labels