learning-to-learn topic

List learning-to-learn repositories

Meta-Learning-Papers

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Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

Open-L2O

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Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms

PAML

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Personalizing Dialogue Agents via Meta-Learning

meta-blocks

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A modular toolbox for meta-learning research with a focus on speed and reproducibility.

meta-learning-lstm-pytorch

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pytorch implementation of Optimization as a Model for Few-shot Learning

learning-to-learn

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Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).

L2L

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Learning to Learn: Gradient-free Optimization framework

L2-GCN

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[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks

L2O-Training-Techniques

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[NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu Chang, Sijia Liu, Lisa Amini, Zhangyang Wang

learning-to-learn-by-pytorch

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"Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.