99 citations · 105 across the 4 of their papers we have counts for
5 papers
PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning
Huandong Wang, Changzheng Gao, Yuchen Wu +3
Generating human mobility trajectories is of great importance to solve the lack of large-scale trajectory data in numerous applications, which is caused by privacy concerns. Howeve…
ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation
Jiazheng Xu, Xiao Liu, Yuchen Wu +5
We present a comprehensive solution to learn and improve text-to-image models from human preference feedback. To begin with, we build ImageReward -- the first general-purpose text-…
Gestalt-Guided Image Understanding for Few-Shot Learning
Kun Song, Yuchen Wu, Jiansheng Chen +2
Due to the scarcity of available data, deep learning does not perform well on few-shot learning tasks. However, human can quickly learn the feature of a new category from very few…
Adversarial Examples in Random Neural Networks with General Activations
Andrea Montanari, Yuchen Wu
A substantial body of empirical work documents the lack of robustness in deep learning models to adversarial examples. Recent theoretical work proved that adversarial examples are…
Shaping Rewards for Reinforcement Learning with Imperfect Demonstrations using Generative Models
Yuchen Wu, Melissa Mozifian, Florian Shkurti
The potential benefits of model-free reinforcement learning to real robotics systems are limited by its uninformed exploration that leads to slow convergence, lack of data-efficien…