Researchers from the National University of Singapore and Alibaba Propose InfoBatch: A Novel Artificial Intelligence Framework Aiming to Achieve Lossless Training Acceleration by Unbiased Dynamic Data Pruning

The struggle to balance training efficiency with performance has become increasingly pronounced within computer vision. Traditional training methodologies, often reliant on expansive datasets, substantially burden computational resources, creating a notable barrier for researchers with limited access to high-powered computing infrastructures. This issue is compounded by the fact that many existing solutions, while reducing the sample […]

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