Related Issues (20)
- Cifar 100 and Tiny Imagenet Training HOT 3
- Hi, there is a similar idea in <<Correlation Congruence for Knowledge Distillation arXiv:1904.01802v1>>. Do you think which is more efficent ? HOT 1
- Few-shot learning experiments
- A question about recall HOT 2
- in loss design , is the code " torch.no_grad " essential ? HOT 1
- EOFError: Ran out of Input
- Student accuracy way below expected HOT 12
- Eval vs Train HOT 1
- test_set and train_set's lengths mismatch with those based on README from the dataset HOT 3
- What are the numbers in the student and teacher tensors?
- the calculation of relation
- What is its value equal to opts.dark_ratio
- dataset link don't work
- metric/utils.py HOT 2
- can't run the "run_distill.py" HOT 3
- Hi,could you release the cifar-100 classification experiment? HOT 2
- Do you have any suggestions on how to choice the loss ratio of different distill methods? HOT 4
- torch type may not matching in pytorch==1.2 HOT 1
- Can you release your trained model on cub200 ? HOT 1
- A question about paper setting HOT 1
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