Wang, I-Jeng

5 publications

NeurIPSW 2024 Decision-Driven Calibration for Cost-Sensitive Uncertainty Quantification Gregory Canal, Vladimir Leung, John J. Guerrerio, Philip Sage, I-Jeng Wang

AAAI 2023 A Risk-Sensitive Approach to Policy Optimization Jared Markowitz, Ryan W. Gardner, Ashley J. Llorens, Raman Arora, I-Jeng Wang

WACV 2023 Do Adaptive Active Attacks Pose Greater Risk than Static Attacks? Nathan Drenkow, Max Lennon, I-Jeng Wang, Philippe Burlina

ECCVW 2020 Jacks of All Trades, Masters of None: Addressing Distributional Shift and Obtrusiveness via Transparent Patch Attacks Neil Fendley, Max Lennon, I-Jeng Wang, Philippe Burlina, Nathan Drenkow

CVPRW 2017 Leveraging Deep Reinforcement Learning for Reaching Robotic Tasks Kapil D. Katyal, I-Jeng Wang, Philippe Burlina