Comments (1)
Our model is a general framework for ConvNet and ResNet. This repo aims to provide simple code for reproducing the results in our ICLR19 paper.
For ResNet12, I think you need to carefully tune the optimizer/learning rate (e.g., utilize SGD with momentum, tune lr and decay steps) as well as more iterations. Recent work reproduced our algorithm on ResNet and obtained good performance, e.g., "Learning to Self-Train for Semi-Supervised Few-Shot Classification".
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Related Issues (10)
- where is transductive maml? HOT 2
- about epochs
- A question about the adjacency matrix HOT 1
- Accruracy of TPN-semi on miniImagenet HOT 11
- Figured out
- view size is not compatible with input tensor's size HOT 1
- Testing - Model checkpoint to load for tieredImageNet HOT 1
- How does the parameter ratio work? HOT 2
- How to modify the code to TPN-semi
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