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cs.LG2024
Are Bias Mitigation Techniques for Deep Learning Effective?
Robik Shrestha, Kushal Kafle, Christopher Kanan
A critical problem in deep learning is that systems learn inappropriate biases, resulting in their inability to perform well on minority groups. This has led to the creation of mul…
cs.LG2024
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses
Robik Shrestha, Kushal Kafle, Christopher Kanan
Dataset bias and spurious correlations can significantly impair generalization in deep neural networks. Many prior efforts have addressed this problem using either alternative loss…