Bayesian and Neural Systems Group

Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

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A drop-in replacement for CIFAR-10.

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Code for Neural Architecture Search without Training (ICML 2021)

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Code for https://arxiv.org/abs/1810.04622

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A plug-in replacement for DataLoader to load Imagenet disk-sequentially in PyTorch.

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Successfully training approximations to full-rank matrices for efficiency in deep learning.

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Code for BlockSwap (ICLR 2020).

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A Pytorch implementation of https://arxiv.org/abs/1810.12348.

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Cheap distillation for convolutional neural networks.

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Sparsifying Variational Dropout in Tensorflow

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