Nie, Shaoliang

5 publications

TMLR 2024 On the Equivalence of Graph Convolution and Mixup Xiaotian Han, Hanqing Zeng, Yu Chen, Shaoliang Nie, Jingzhou Liu, Kanika Narang, Zahra Shakeri, Karthik Abinav Sankararaman, Song Jiang, Madian Khabsa, Qifan Wang, Xia Hu

NeurIPS 2024 Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms Fan Yao, Yiming Liao, Jingzhou Liu, Shaoliang Nie, Qifan Wang, Haifeng Xu, Hongning Wang

NeurIPS 2022 AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning Tao Yang, JInghao Deng, Xiaojun Quan, Qifan Wang, Shaoliang Nie

ICMLW 2022 BARACK: Partially Supervised Group Robustness with Guarantees Nimit Sharad Sohoni, Maziar Sanjabi, Nicolas Ballas, Aditya Grover, Shaoliang Nie, Hamed Firooz, Christopher Re

ICML 2022 UNIREX: A Unified Learning Framework for Language Model Rationale Extraction Aaron Chan, Maziar Sanjabi, Lambert Mathias, Liang Tan, Shaoliang Nie, Xiaochang Peng, Xiang Ren, Hamed Firooz