Regularization & Normalization

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A survey on Image Data Augmentation for Deep Learning (Shorten & Khoshgoftaar, J. Big Data 2019) Pap… 1 term

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clovaai/CutMix-PyTorch — official PyTorch implementation of the CutMix regularizer Code 1 term

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CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Pap… 1 term

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Data augmentation — official TensorFlow Core tutorial (Keras preprocessing layers, tf.image) Docs 1 term

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facebookresearch/mixup-cifar10 — official mixup implementation from the paper's authors Code 1 term

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Group Normalization research paper Pap… 1 term

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Instance Normalization: The Missing Ingredient for Fast Stylization Pap… 1 term

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Label Smoothing — Lei Mao's Log Book (derivation against cross-entropy with soft targets) Art… 1 term

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Layer Normalization original paper Pap… 1 term

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Mixup: Beyond Empirical Risk Minimization Pap… 1 term

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Original Batch Normalization paper Pap… 1 term

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Original Stochastic Depth paper Pap… 1 term

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PyTorch BatchNorm2d documentation Docs 1 term

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PyTorch Dropout module documentation Docs 1 term

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PyTorch GroupNorm documentation Docs 1 term

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PyTorch LayerNorm documentation Docs 1 term

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PyTorch spectral_norm parametrization documentation Docs 1 term

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PyTorch torch.nn.InstanceNorm2d documentation — per-sample, per-channel normalization Docs 1 term

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PyTorch weight_norm parametrization documentation Docs 1 term

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Spectral Normalization for Generative Adversarial Networks Pap… 1 term

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The original DropConnect research paper Pap… 1 term

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The original Dropout paper in the Journal of Machine Learning Research Pap… 1 term

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Torchvision stochastic_depth documentation Docs 1 term

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Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks Pap… 1 term

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When Does Label Smoothing Help? (Müller, Kornblith & Hinton, NeurIPS 2019) Pap… 1 term