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cs.LG2021
Combined Scaling for Zero-shot Transfer Learning
Hieu Pham, Zihang Dai, Golnaz Ghiasi +9
We present a combined scaling method - named BASIC - that achieves 85.7% top-1 accuracy on the ImageNet ILSVRC-2012 validation set without learning from any labeled ImageNet exampl…
cs.LG2021
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
Hieu Pham, Quoc V. Le
Neural networks are often over-parameterized and hence benefit from aggressive regularization. Conventional regularization methods, such as Dropout or weight decay, do not leverage…