research
∙
04/26/2023
Implicit Counterfactual Data Augmentation for Deep Neural Networks
Machine-learning models are prone to capturing the spurious correlations...
share
research
∙
04/25/2023
Combining Adversaries with Anti-adversaries in Training
Adversarial training is an effective learning technique to improve the r...
research
∙
01/12/2023
Understanding Difficulty-based Sample Weighting with a Universal Difficulty Measure
Sample weighting is widely used in deep learning. A large number of weig...
research
∙
10/11/2021
Which Samples Should be Learned First: Easy or Hard?
An effective weighting scheme for training samples is essential for lear...
research
∙
06/13/2019