1. Recurrent models of visual attention;mnih;NeurIPS,2014
2. Exploring the limits of weakly supervised pretraining;mahajan;ECCV,2018
3. Learning Not to Learn: Training Deep Neural Networks With Biased Data
4. Cost-sensitive learning of deep feature representations from imbalanced data;khan;EEE Trans Neural Netw Learn Syst,2017
5. Adversarial examples are not bugs, they are features;ilyas;NeurIPS,2019