Liu, Weitang

4 publications

TMLR 2025 OmniInput: An Evaluation Framework for Deep Learning Models on Internet-Scale Data Weitang Liu, Yuelei Li, Ying Wai Li, Zihan Wang, Yi-Zhuang You, Jingbo Shang

ICML 2023 Gradient-Based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space Weitang Liu, Yi-Zhuang You, Ying Wai Li, Jingbo Shang

NeurIPS 2021 Can Multi-Label Classification Networks Know What They Don’t Know? Haoran Wang, Weitang Liu, Alex Bocchieri, Yixuan Li

NeurIPS 2020 Energy-Based Out-of-Distribution Detection Weitang Liu, Xiaoyun Wang, John Owens, Yixuan Li