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Snca.pytorch ⭐ 136

Improving Generalization via Scalable Neighborhood Component Analysis

This repository contains the official implementation of DPGN: Distribution Propagation Graph Network for Few-shot Learning.

(NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297

PyTorch implementation of "An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning" (ECCV 2020)

Source code for CVPR 2020 paper "Learning to Forget for Meta-Learning"

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