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Scaling Laws Revisited: Modeling the Role of Data Quality in Language Model Pretraining
Anirudh Subramanyam, Yuxin Chen, Robert L. Grossman
Scaling laws for language model training traditionally characterize how performance scales with model size and dataset volume. Prior work has explored architecture variants and dat…
cs.LG2023
Enhancing Instance-Level Image Classification with Set-Level Labels
Renyu Zhang, Aly A. Khan, Yuxin Chen +1
Instance-level image classification tasks have traditionally relied on single-instance labels to train models, e.g., few-shot learning and transfer learning. However, set-level coa…