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[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

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Thanks for your code a lot! I have read your paper and code, it's really a good idea, but here I have a question about LDAM Loss. It's in the...

Thanks for your paper and your code, they are great work and help me a lot. Your article says that DRW is based on the number of samples, but your...

I found the lr in log_train.csv is multiplied 0.1, and I found in the line marked TODO was written like this `data_time=data_time, loss=losses, top1=top1, top5=top5, lr=optimizer.param_groups[-1]['lr'] * 0.1)) # TODO`...

Thanks for your paper and your code, they are great work and help me a lot. I did experiments on tiny imagenet dataset following the settings revealed on your paper,...

Thanks for sharing your great job. I have a question about the point for sampler in your code. train_sampler is first declared at L167 in cifar_train.py then, train_loader gets the...

Thanks for your code a lot! I have read your paper and code,it's really a good idea,but here I have a question about Formula 8. ![image](https://user-images.githubusercontent.com/33173674/90724768-a6b38500-e2f1-11ea-9bb5-3717aeeb5d49.png) why here `y1` equals...

# Hi Mr.kaidic Firstly, Thanks for you sharing your code and paper. I read your paper and used your code to be impressed. As i read this paper, there are...

Hi,I meet "AttributeError" when running "cifar_train.py". Could you please tell me how to fix it ? Downloading https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz to ./datasets/imbalance_cifar10/cifar-10-python.tar.gz 212664376it [00:19, 38731722.29it/s]Traceback (most recent call last): File "/xinfu/code/long_tail/BBN/main/train.py", line...

Hi, Thank you for opening the source code! The cifar model now is initialized with likely random parameters. I wonder if these models can be initialized by any pretrained model?...

Thanks for your great work. I've got a question here, since LDAM extends the margin softmax loss which is commonly used in face recognition, have you ever tried some experiments...