Publications
Preprint
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models PDF
Gantavya Bhatt*, Yifang Chen*, Arnav M Das*, Jifan Zhang*, Sang T Truong, Stephen Mussmann, Yinglun Zhu, Jeffrey Bilmes, Simon S Du, Kevin Jamieson, Jordan T Ash, Robert D Nowak (2024)DIRECT: Deep Active Learning Under Imbalance and Label Noise PDF
Shyam Nuggehalli*, Jifan Zhang*, Lalit Jain, Robert Nowak (2023)
Refereed Conference/Journal Papers
Learning from the Best: Active Learning for Wireless Communications
Nasim Soltani*, Jifan Zhang*, Batool Salehi, Debashri Roy, Robert Nowak, Kaushik Chowdhury
Accepted at IEEE Wireless Communications Magazine (2024).LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning PDF Github
Jifan Zhang*, Yifang Chen*, Gregory Canal, Arnav Das, Gantavya Bhatt, Stephen Mussmann, Yinglun Zhu, Simon Shaolei Du, Kevin Jamieson, Robert D Nowak
Journal of Data-centric Machine Learning Research (2024).Algorithm Selection for Deep Active Learning with Imbalanced Datasets PDF Github
Jifan Zhang, Shuai Shao, Saurabh Verma, Robert Nowak
Advances in Neural Information Processing Systems 36 (NeurIPS 2023).GALAXY: Graph-based Active Learning at the Extreme PDF Github
Jifan Zhang, Julian Katz-Samuels, Robert Nowak
Proceedings of the 39th International Conference on Machine Learning (ICML 2022).Improved Algorithms for Agnostic Pool-based Active Classification PDF
Julian Katz-Samuels, Jifan Zhang, Lalit Jain, Kevin Jamieson
Proceedings of the 38th International Conference on Machine Learning (ICML 2021).
Workshop and Older Preprints
A Better Way to Decay: Proximal Gradient Training Algorithms for Neural Nets PDF
Liu Yang, Jifan Zhang, Joseph Shenouda, Dimitris Papailiopoulos, Kangwook Lee, Robert D. Nowak
14th International OPT Workshop on Optimization for Machine Learning (at NeurIPS 2022).Learning to Actively Learn: A Robust Approach PDF
Jifan Zhang, Lalit Jain, Kevin Jamieson (2020)
