Comments (2)
sdsawtelle
commented on July 18, 2024
For Figure 4 in the paper, I'm wondering exactly how a single point is generated in those plots. For example, for the point that is ResNet distillation from four teachers, is that an average over multiple trials? And if so, for each trial are four new teachers trained from scratch for that trial? Or was there a pool of e.g. 8 teachers and each 4-teacher trial randomly selects four from among those 8, each 6-teacher trial randomly selects 6 from among those 8 etc?
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ShristiDasBiswas
commented on July 18, 2024
Hi, were you able to reproduce the ensemble distillation task?
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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.
- 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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