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most citedToward Understanding BERT-Like Pre-Training for DNA Foundation Models

3 citations · 4 across the 5 of their papers we have counts for

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cs.CV2024

IMWA: Iterative Model Weight Averaging Benefits Class-Imbalanced Learning Tasks

Zitong Huang, Ze Chen, Bowen Dong +3

Model Weight Averaging (MWA) is a technique that seeks to enhance model's performance by averaging the weights of multiple trained models. This paper first empirically finds that 1…