C2D

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Lambda_u for CIFAR-100 on 40 asym noise

1

Hi, I haven't been able to find which hyper-parameters you use to train on CIFAR-100 with 40% asymmetric noise. Can you please tell me? Thank you! P.S: Awesome work!

aldakata

tabular data/ noisy instances

1

Hi, thanks for sharing your implementation. I have two questions about it: 1. Does it also work on tabular data? 2. Is it possible to identify the noisy instances (return...

nazaretl

Hi, I have trained self-supervised model on cifar10 with PreAct-ResNet18 and ResNet18. On the 90% noise rate, I achieve the performance about 93.46 with ResNet18, but get a worse result...

luan-g

Hi, When I run this command ``` python3 main_cifar.py --r 0.8 --lambda_u 50 --dataset cifar100 --p_threshold 0.3 --data_path ./cifar-100 --experiment-name simclr_resnet18 --method bit --net resnet18 --batch_size 8 ``` it gets...

nikokks

Hi I try to do a benchmark on cifar100 with 80% noisy labels with resnet18. This is the command ``` python3 main_cifar.py --r 0.80 --lambda_u 500 --dataset cifar100 --p_threshold 0.03...

nikokks

Hi, First of all, Congratulations for your work ! I have a question: "how do we save, with the same format as the data input files, the noisy labels corrected...

nikokks