Comments (3)
I had the same question, as I understand, ContrastLoss(out_v2) will not have any gradients given that the teacher is not being trained.
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I had the same question, as I understand, ContrastLoss(out_v2) will not have any gradients given that the teacher is not being trained.
the last fc layer is being trained in the teacher.
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Yes you are right, thanks.
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Related Issues (20)
- Cross modal KD implementation release? HOT 1
- Question on memory consumption for CRD loss when the dataset is very large HOT 3
- Why "opt.nce_k" in dataset cifar100 is 16384? How can I get this ? HOT 2
- test HOT 2
- Error while running the code
- Training scheme for linear probe on STL10 and TinyImagenet
- Problem of the order of the normalization in Similarity-Preserving loss.
- resnet structure seems to be a bit wrong HOT 3
- Failed to download the teacher models HOT 2
- about using the resnet models for cifar10 HOT 1
- crd used in image enhancement task like Denoise\SR\Deblur.
- Ensemble Task Implementation HOT 2
- Question about normalization constant Z_v1 and Z_v2 in the ContrastMemory
- Why using log_softmax instead of softmax? HOT 1
- Hyperparameter Settings for KD on Imagenet
- Is Ensemble distillation also included?
- the result is different in resnet56 HOT 1
- ERROR :run ./fetch_pretrained_teachers.sh HOT 1
- How to use myself datasets? HOT 1
- No dev set split
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