danieltan07 / learning-to-reweight-examples

PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning

danieltan07/learning-to-reweight-examples Issues

cannot assign 'torch.FloatTensor' as parameter 'weight' (torch.nn.Parameter or None expected)
Updated 2 years ago1
Do anybody know if there is an implementation on Unet?
Closed 2 years ago1
meta_layers: No module named utils
Closed 2 years ago
ValueError: optimizer got an empty parameter list
Updated 2 years ago5
eps is not part of the graph
Updated 2 years ago7
The loss of ResNet composed of MetaModule is difficult to decrease
Closed 3 years ago1
Two Issues
Updated 3 years ago2
Can't get model.named_params() from ResNet32(MeataModule)
Updated 3 years ago1
using transfer learning model on resnet18
Updated 3 years ago3
Preact layers
Closed 3 years ago
MetaConv2d has nan weight
Updated 3 years ago
Are params in meta_net updated?
Updated 4 years ago8
Out of memory when using resnet
Updated 4 years ago2
Any advice on how to use this on RNN
Updated 4 years ago2
Why redefining the default pytorch nn.Modules?
Updated 5 years ago2
Some bugs for preact_resnet_meta.py
Updated 5 years ago
How to add weight_decay and momentum when using this MetaModule?
Updated 5 years ago1
The MetaBatchNorm2d cannot be used，why
Updated 5 years ago3
learning rate issues
Updated 5 years ago
implementation for the noisy cifar10 experiment
Updated 5 years ago6
ValueError: can't optimize a non-leaf Variable
Updated 5 years ago1