research
∙
06/26/2020
Intrinsic Reward Driven Imitation Learning via Generative Model
Imitation learning in a high-dimensional environment is challenging. Mos...
share
research
∙
01/23/2019
Deep Adversarial Learning in Intrusion Detection: A Data Augmentation Enhanced Framework
Intrusion detection systems (IDSs) play an important role in identifying...
research
∙
01/14/2019
How Does Disagreement Benefit Co-teaching?
Learning with noisy labels is one of the most important question in weak...
research
∙
09/28/2018
Pumpout: A Meta Approach for Robustly Training Deep Neural Networks with Noisy Labels
It is challenging to train deep neural networks robustly on the industri...
research
∙
04/18/2018