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Statistically Proving That 'Pre-training Works'—Is ImageNet Knowledge Really Useful in Medical AI?
When you hear that 'fine-tuning a ResNet pre-trained on ImageNet improved accuracy by 20%,' have you ever determined whether ...
「ImageNetで事前学習したResNetをファインチューニングしたら、精度が20%上がった」と聞いて、本当にそれは事前学習の効果なのか、それとも学習曲線の運や、ハイパーパラメータの最適化たまたまなのか、判別したことはあるだろうか。多くのML実務者 ...
A new paper from Zhuowen Tu's group proposes replacing the fixed 256-token grid used in autoregressive image models with a hierarchical quadtree.
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