Xu, Xinyi

19 publications

ICLR 2025 Efficient Top-M Data Values Identification for Data Selection Xiaoqiang Lin, Xinyi Xu, See-Kiong Ng, Bryan Kian Hsiang Low

NeurIPS 2024 DETAIL: Task DEmonsTration Attribution for Interpretable In-Context Learning Zijian Zhou, Xiaoqiang Lin, Xinyi Xu, Alok Prakash, Daniela Rus, Bryan Kian Hsiang Low

ICMLW 2024 DETAIL: Task DEmonsTration Attribution for Interpretable In-Context Learning Zijian Zhou, Xiaoqiang Lin, Xinyi Xu, Alok Prakash, Daniela Rus, Bryan Kian Hsiang Low

NeurIPS 2024 Data Distribution Valuation Xinyi Xu, Shuaiqi Wang, Chuan-Sheng Foo, Bryan Kian Hsiang Low, Giulia Fanti

ICML 2024 Distributionally Robust Data Valuation Xiaoqiang Lin, Xinyi Xu, Zhaoxuan Wu, See-Kiong Ng, Bryan Kian Hsiang Low

ACML 2024 I Mean I Am a Mouse: Meets for Bilingual Multimodal Meme Sarcasm Classification from Large Language Models Yunzhe Liu, Xinyi Xu

ICML 2023 Collaborative Causal Inference with Fair Incentives Rui Qiao, Xinyi Xu, Bryan Kian Hsiang Low

AISTATS 2023 FAIR: Fair Collaborative Active Learning with Individual Rationality for Scientific Discovery Xinyi Xu, Zhaoxuan Wu, Arun Verma, Chuan Sheng Foo, Bryan Kian Hsiang Low

ICML 2023 Fair yet Asymptotically Equal Collaborative Learning Xiaoqiang Lin, Xinyi Xu, See-Kiong Ng, Chuan-Sheng Foo, Bryan Kian Hsiang Low

NeurIPS 2023 Incentives in Private Collaborative Machine Learning Rachael Sim, Yehong Zhang, Nghia Hoang, Xinyi Xu, Bryan Kian Hsiang Low, Patrick Jaillet

NeurIPS 2023 Model Shapley: Equitable Model Valuation with Black-Box Access Xinyi Xu, Thanh Lam, Chuan Sheng Foo, Bryan Kian Hsiang Low

AAAI 2023 Probably Approximate Shapley Fairness with Applications in Machine Learning Zijian Zhou, Xinyi Xu, Rachael Hwee Ling Sim, Chuan Sheng Foo, Bryan Kian Hsiang Low

IJCAI 2022 Data Valuation in Machine Learning: "Ingredients", Strategies, and Open Challenges Rachael Hwee Ling Sim, Xinyi Xu, Bryan Kian Hsiang Low

AAAI 2022 Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards Sebastian Shenghong Tay, Xinyi Xu, Chuan Sheng Foo, Bryan Kian Hsiang Low

ICML 2022 On the Convergence of the Shapley Value in Parametric Bayesian Learning Games Lucas Agussurja, Xinyi Xu, Bryan Kian Hsiang Low

NeurIPS 2021 Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning Xinyi Xu, Lingjuan Lyu, Xingjun Ma, Chenglin Miao, Chuan Sheng Foo, Bryan Kian Hsiang Low

NeurIPS 2021 Validation Free and Replication Robust Volume-Based Data Valuation Xinyi Xu, Zhaoxuan Wu, Chuan Sheng Foo, Bryan Kian Hsiang Low

IJCAI 2019 Zero-Shot Metric Learning Xinyi Xu, Huanhuan Cao, Yanhua Yang, Erkun Yang, Cheng Deng

IJCAI 2018 Deep View-Aware Metric Learning for Person Re-Identification Pu Chen, Xinyi Xu, Cheng Deng