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20172026
most citedTactics of Adversarial Attack on Deep Reinforcement Learning Agents

91 citations · 255 across the 27 of their papers we have counts for

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cs.CV2024

Large Pretraining Datasets Don't Guarantee Robustness after Fine-Tuning in Image Classification

Jaedong Hwang, Brian Cheung, Zhang-Wei Hong +3

Large-scale pretrained models are widely leveraged as foundations for learning new specialized tasks via fine-tuning, with the goal of maintaining the general performance of the mo…

cs.CV2018★ 7 cited

Virtual-to-Real: Learning to Control in Visual Semantic Segmentation

Zhang-Wei Hong, Chen Yu-Ming, Shih-Yang Su +10

Collecting training data from the physical world is usually time-consuming and even dangerous for fragile robots, and thus, recent advances in robot learning advocate the use of si…