262 citations · 438 across the 27 of their papers we have counts for
4 papers · 1 filter
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…
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…
REMIND Your Neural Network to Prevent Catastrophic Forgetting
Tyler L. Hayes, Kushal Kafle, Robik Shrestha +2
People learn throughout life. However, incrementally updating conventional neural networks leads to catastrophic forgetting. A common remedy is replay, which is inspired by how the…
Challenges and Prospects in Vision and Language Research
Kushal Kafle, Robik Shrestha, Christopher Kanan
Language grounded image understanding tasks have often been proposed as a method for evaluating progress in artificial intelligence. Ideally, these tasks should test a plethora of…