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cs.LG2026
Can Training Logs Make Model Comparisons More Precise?
Wei-Jung Huang
Comparing stochastically trained models requires estimating both a performance difference and its uncertainty from repeated runs. We study whether training logs from those same run…
cs.LG2026
AdaStop: Cost-Aware Early Stopping for DNN Test Selection
Bonan Shen, Wei-Jung Huang, Xin Liu +2
Existing methods for testing deep neural networks (DNNs) primarily prioritize test inputs likely to reveal model faults under a fixed labeling budget. In practice, choosing that bu…