R1 Q1) The main assumption in this method for part-dependent label noise is not realistic
–Neural Information Processing Systems
We thank all reviewers for providing us valuable and insightful comments. Below, we answer all of the questions. R1 Q1) The main assumption in this method for part-dependent label noise is not realistic. Thus, we believe the assumption makes sense in reality. Q2) When the deep model is trained using the noisy labels, the features maybe not the accurate or reliable features.
Neural Information Processing Systems
Oct-2-2025, 23:14:17 GMT
- Country:
- North America > United States > California > Santa Clara County > Palo Alto (0.05)
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- Research Report (0.49)
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