Algo | Dataset | Model(s) used | Parameters in the network | Epochs | Test accuracy(ies) |
---|---|---|---|---|---|
VanillaKD | MNIST | ResNet50 - Teacher | 454010 | 5 | 0.9787 |
ResNet18 - Student | 213178 | 0.9706 | |||
NoisyTeacher | MNIST | ResNet50 - Teacher | 454010 | 5 | 0.9771 |
ResNet18 - Student | 213178 | 0.9769 | |||
MessyCollab | MNIST | ResNet50 - Teacher | 454010 | 5 | 0.9795 |
ResNet18 - Student | 213178 | 0.9724 | |||
SoftRandom | MNIST | ResNet50 - Teacher | 454010 | 5 | 0.9819 |
ResNet18 - Student | 213178 | 0.9799 | |||
TAKD | MNIST | ResNet50 - Teacher | 454010 | 5 | 0.9971 |
ResNet34 - Assistant 1 | 403194 | 0.9939 | |||
ResNet34 - Assistant 2 | 403194 | 0.9940 | |||
ResNet18 - Student | 213178 | 0.9960 | |||
CSKD | CIFAR100 | ResNet18 - Student (Normal) | 213178 | 200 | 0.7529 |
ResNet18 - Student (CSKD) | 213178 | 0.7801 | |||
BANN | MNIST | ResNet18 - Student (gen 1) | 213178 | 5 | 0.9726 |
ResNet18 - Student (gen 2) | 213178 | 0.9695 | |||
DML | MNIST | ResNet18 - Student | 213178 | 5 | 0.9660 |
ResNet18 - Student | 213178 | 0.9620 | |||
ResNet18 - Student | 213178 | 0.9641 | |||
SelfTraining | MNIST | ResNet18 - Student | 213178 | 5 | 0.9772 |
VirtualTeacher | MNIST | ResNet18 - Student | 213178 | 5 | 0.9814 |
RCO | MNIST | ResNet50 - Teacher | 454010 | 10 | 0.9827 |
ResNet18 - Student | 213178 | 0.9735 | |||
Attention | MNIST | ResNet50 - Teacher | 10182 | 10 | 0.9858 |
ResNet18 - Student | 4254 | 0.9745 | |||
RKDLoss | MNIST | ResNet50 - Teacher | 10182 | 10 | 0.9858 |
ResNet18 - Student | 4254 | 0.9651 | |||
KA/ProbShift | MNIST | ResNet50 - Teacher | 10182 | 10 | 0.9858 |
ResNet18 - Student | 4254 | 20 | 0.9495 | ||
KA/LabelSmoothReg | MNIST | ResNet50 - Teacher | 10182 | 10 | 0.9858 |
ResNet18 - Student | 4254 | 20 | 0.9451 | ||
BERT2LSTM | IMDB | BERT(base-uncased) - Teacher | 109483778 | 1 | 0.8934 |
LSTM - Student | 1051274 | 5 | 0.8522 |
Model Used | Dataset | Pruning epoch | % Model pruned | Training epochs | Accuracy |
---|---|---|---|---|---|
ResNet18 | MNIST | 1/3 | 0.0 | 5 | 98.78 % |
2/3 | 10.0 | 5 | 98.91 % | ||
3/3 | 18.99 | 5 | 98.90 % |
Algo Used | Model Used | Dataset | Model | Size (MB) | Training epochs | Accuracy | Time elapsed |
---|---|---|---|---|---|---|---|
Static Quantization | ResNet18 | CIFAR10 | Base | 46.8373 | 5 | 0.7208 | 26.1193 |
Quantized | 11.7366 | 0.7073 | 12.9016 | ||||
Quantization Aware Training | ResNet18 | CIFAR10 | Base | 46.8373 | 5 | 0.7208 | 26.1193 |
Quantized | 11.8408 | 3 | 0.7128 | 13.0377 | |||
Dynamic Quantization | LSTM | IMDB | Base | 5.3829 | 3 | 0.6964 | 56.6991 |
Quantized | 4.3757 | 0.6953 | 54.2108 |