Comments (4)
yes, i move away the metalearner
and learner
code, which is well-written architecture for that version. You can still access previous version from https://github.com/dragen1860/Reptile-Pytorch.
Sorry for making it confuous.
Im working on memory mechanism and thereby MAML related research is interrupted temporarily.
from maml-pytorch.
hi, I recently found the first version of my code has an definitely distinct implementation, and I never realised it until the paper "repitle":https://blog.openai.com/reptile/ published. That's to say, I already implemented the reptile version but i have not published my approach before the paper.
Concisely:
the disparity of previous and current is:
- previous, reptile: theta = theta + meta_lr * (w - theta_pi)
- current, MAML: theta = theta - meta_lr * grad(Loss on theta_pi, theta)
from maml-pytorch.
Thanks, the previous version (reptile) you are talking about is the one with the MetaLearner and Learner class, which you completely erased from the repository, right? were you able to achieve the accuracy described in the MAML paper for the omniglot experiment with the reptile implementation then?
from maml-pytorch.
Hi, I hv fixed current version bugs, u can pull latest version, which should works now on both omniglot and mini-imagenet.
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Related Issues (20)
- why use custom grad clip function?
- omniglot dataset download error HOT 1
- Does the hessian really gets computed? HOT 1
- Can you please add a 1-d CNN model to the learner.
- Incorrect losses_q HOT 3
- about dataset spiltting
- create_graph parameter is False hence first-order MAML? HOT 1
- Asking about inner and outer loop
- 您好,对于代码有两个问题,请教您一下,谢谢 HOT 3
- About training and testing HOT 6
- can you offer us your requirements of environment?
- Why is `for epoch in range(args.epoch // 10000):` HOT 2
- Why the code for Learner is so complicated? HOT 1
- 请问模型权值文件在哪里进行保存?代码在哪里? HOT 1
- debug
- Using the Learner object for my project, Loss not behaving at its best
- About accuracy HOT 6
- What is the backup file for and what is the reference navie5 in navie5?
- 准确率不变 HOT 4
- 训练自己的数据集
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