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Found 3 papers, 1 papers with code
Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper Calibration
Long-tailed semi-supervised learning (LTSSL) represents a practical scenario for semi-supervised applications, challenged by skewed labeled distributions that bias classifiers.
Balanced Product of Calibrated Experts for Long-Tailed Recognition
We show how to properly define these distributions and combine the experts in order to achieve unbiased predictions, by proving that the ensemble is Fisher-consistent for minimizing the balanced error.
Long-tail Learning
Long-tail Learning on CIFAR-10-LT (ρ=100)
+1
Social Relation Recognition in Egocentric Photostreams
This paper proposes an approach to automatically categorize the social interactions of a user wearing a photo-camera 2fpm, by relying solely on what the camera is seeing.
