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Meta Learning Papers ⭐ 2,577

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

Open L2o ⭐ 186

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

Personalizing Dialogue Agents via Meta-Learning

Meta Learning Lstm Pytorch ⭐ 92

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

Meta Blocks ⭐ 75

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

Learning to Learn: Gradient-free Optimization framework

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

Learning To Learn By Pytorch ⭐ 18

A simple re-implementation for "Learning to learn by gradient descent by gradient descent "by PyTorch

Optim4rl ⭐ 17

Optim4RL is a framework of learning to optimize for reinforcement learning.

L2o Training Techniques ⭐ 14

[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 ⭐ 14

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

Learning_to_learn ⭐ 6

Learning to learn by gradient descent by gradient descent, Andrychowicz et al., NIPS 2016

Related Searches

Python Learning To Learn (10)

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