Weijie Tu

According to our database, Weijie Tu authored at least 8 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Confidence and Dispersity as Signals: Unsupervised Model Evaluation and Ranking.

Weijian Deng, Weijie Tu, Ibrahim Radwan, Mohammad Abu Alsheikh, Stephen Gould, Liang Zheng

CoRR, October, 2025

Toward a Holistic Evaluation of Robustness in CLIP Models.

Weijie Tu, Weijian Deng, Tom Gedeon

IEEE Trans. Pattern Anal. Mach. Intell., September, 2025

Ranked from Within: Ranking Large Multimodal Models Without Labels.

Weijie Tu, Weijian Deng, Dylan Campbell, Yu Yao, Jiyang Zheng, Tom Gedeon, Tongliang Liu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions?

Weijie Tu, Weijian Deng, Liang Zheng, Tom Gedeon

Trans. Mach. Learn. Res., 2024

Ranked from Within: Ranking Large Multimodal Models for Visual Question Answering Without Labels.

Weijie Tu, Weijian Deng, Dylan Campbell, Yu Yao, Jiyang Zheng, Tom Gedeon, Tongliang Liu

CoRR, 2024

An Empirical Study Into What Matters for Calibrating Vision-Language Models.

Weijie Tu, Weijian Deng, Dylan Campbell, Stephen Gould, Tom Gedeon

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP).

Weijie Tu, Weijian Deng, Tom Gedeon

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Bag-of-Prototypes Representation for Dataset-Level Applications.

Weijie Tu, Weijian Deng, Tom Gedeon, Liang Zheng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023