Dinh, Tuan

5 publications

ICML 2025 TabFlex: Scaling Tabular Learning to Millions with Linear Attention Yuchen Zeng, Tuan Dinh, Wonjun Kang, Andreas C Mueller

NeurIPS 2023 Large Language Models of Code Fail at Completing Code with Potential Bugs Tuan Dinh, Jinman Zhao, Samson Tan, Renato Negrinho, Leonard Lausen, Sheng Zha, George Karypis

NeurIPS 2022 LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks Tuan Dinh, Yuchen Zeng, Ruisu Zhang, Ziqian Lin, Michael Gira, Shashank Rajput, Jy-yong Sohn, Dimitris Papailiopoulos, Kangwook Lee

ICML 2021 Coded-InvNet for Resilient Prediction Serving Systems Tuan Dinh, Kangwook Lee

AAAI 2019 Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence Sathya N. Ravi, Tuan Dinh, Vishnu Suresh Lokhande, Vikas Singh