1 citations · 1 across the 6 of their papers we have counts for
Showing 2025Show all
2 papers · 1 filter
cs.LG2025
Detecting Mislabeled and Corrupted Data via Pointwise Mutual Information
Jinghan Yang, Jiayu Weng
Deep neural networks can memorize corrupted labels, making data quality critical for model performance, yet real-world datasets are frequently compromised by both label noise and i…
cs.LG2025
How to Achieve Higher Accuracy with Less Training Points?
Jinghan Yang, Anupam Pani, Yunchao Zhang
In the era of large-scale model training, the extensive use of available datasets has resulted in significant computational inefficiencies. To tackle this issue, we explore methods…