181 citations · 239 across the 6 of their papers we have counts for
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cs.LG2022★ 21 cited
Dataset Pruning: Reducing Training Data by Examining Generalization Influence
Shuo Yang, Zeke Xie, Hanyu Peng +3
The great success of deep learning heavily relies on increasingly larger training data, which comes at a price of huge computational and infrastructural costs. This poses crucial q…
cs.LG2021★ 17 cited
Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network
Shuo Yang, Erkun Yang, Bo Han +4
In label-noise learning, estimating the transition matrix is a hot topic as the matrix plays an important role in building statistically consistent classifiers. Traditionally, the…
cs.LG2021★ 181 cited
Free Lunch for Few-shot Learning: Distribution Calibration
Shuo Yang, Lu Liu, Min Xu
Learning from a limited number of samples is challenging since the learned model can easily become overfitted based on the biased distribution formed by only a few training example…