Comments (1)
HobbitLong
commented on July 18, 2024
@splinter21 , could you please rephrase the description into English so that other readers can understand it? Thanks!
Generally, it's possible that the student can get higher accuracy that the teacher model. One example is the teacher model is identical to the student model, but you can expect the student model to achieve higher accuracy. Though I have no theoretical analysis of it, my guess is that it can be thought of from either the ensemble perspective or label smoothing perspective.
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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
- Has anyone implemented Wasserstein Contrastive Representation Distillation HOT 1
- 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
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- Is Ensemble distillation also included?
- the result is different in resnet56 HOT 1
- ERROR :run ./fetch_pretrained_teachers.sh HOT 1
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