Noise in Data Labels
Training data can be misleading. Design a sample selection strategy for two models so that they can learn despite label noise and class imbalance.
T4 GPU, without internet access
Time limit: 5:00 ● RAM: 12,00GB ● VRAM: 15,00GB
Difficulty:
3,0
OAI II
OAI stage 1
ML
CV
DL
CNN
Imbalanced
PyTorch
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