All you need is a good init
Paper
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1511.06422
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Published
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1
Papers - Image - Datasets - CIFAR
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MoDE: CLIP Data Experts via Clustering
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Deep Learning is Robust to Massive Label Noise
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Poincaré ResNet
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Fixup Initialization: Residual Learning Without Normalization
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RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness
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SLIP: Self-supervision meets Language-Image Pre-training
Paper • 2112.12750 • Published • 1 -
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey
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No More Adam: Learning Rate Scaling at Initialization is All You Need
Paper • 2412.11768 • Published • 41