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News/Learning Faster without Deeper Networks: A*-Inspired Batch Selection for Efficient CNN Training
arxiv
PublishedJuly 20, 2026 at 4:00 AM

Learning Faster without Deeper Networks: A*-Inspired Batch Selection for Efficient CNN Training

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arXiv:2607.15745v1 Announce Type: new Abstract: Common practice when training Convolutional Neural Networks (CNNs) is to use randomly shuffled mini-batches. This creates two limitations: slower convergence, and a diminishing learning signal, since many samples are quickly classified as easy during t

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