2 code implementations • 28 Jun 2021 • Hyuntak Cha, Jaeho Lee, Jinwoo Shin
Recent breakthroughs in self-supervised learning show that such algorithms learn visual representations that can be transferred better to unseen tasks than joint-training methods relying on task-specific supervision.
1 code implementation • ICCV 2021 • Hyuntak Cha, Jaeho Lee, Jinwoo Shin
Recent breakthroughs in self-supervised learning show that such algorithms learn visual representations that can be transferred better to unseen tasks than cross-entropy based methods which rely on task-specific supervision.
no code implementations • NeurIPS 2020 • Junhyun Nam, Hyuntak Cha, Sung-Soo Ahn, Jaeho Lee, Jinwoo Shin
Neural networks often learn to make predictions that overly rely on spurious corre- lation existing in the dataset, which causes the model to be biased.
2 code implementations • 6 Jul 2020 • Junhyun Nam, Hyuntak Cha, Sungsoo Ahn, Jaeho Lee, Jinwoo Shin
Neural networks often learn to make predictions that overly rely on spurious correlation existing in the dataset, which causes the model to be biased.
Ranked #1 on Out-of-Distribution Generalization on ImageNet-W