| Improved algorithms for agnostic pool-based active classification J Katz-Samuels, J Zhang, L Jain, K Jamieson International Conference on Machine Learning, 5334-5344, 2021 | 19 | 2021 |
| Galaxy: Graph-based active learning at the extreme J Zhang, J Katz-Samuels, R Nowak International Conference on Machine Learning, 26223-26238, 2022 | 14 | 2022 |
| Labelbench: A comprehensive framework for benchmarking adaptive label-efficient learning J Zhang*, Y Chen*, G Canal, AM Das, G Bhatt, Y Zhu, S Mussmann, ... Journal of Data-centric Machine Learning Research, 2024 | 4* | 2024 |
| Algorithm Selection for Deep Active Learning with Imbalanced Datasets J Zhang, S Shao, S Verma, R Nowak Neural Information Processing Systems (NeurIPS 2023), 2023 | 4 | 2023 |
| A better way to decay: Proximal gradient training algorithms for neural nets L Yang, J Zhang, J Shenouda, D Papailiopoulos, K Lee, RD Nowak OPT2022: 14th Annual Workshop on Optimization for Machine Learning, 2022 | 3 | 2022 |
| An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models G Bhatt*, Y Chen*, AM Das*, J Zhang*, ST Truong, S Mussmann, Y Zhu, ... arXiv preprint arXiv:2401.06692, 2024 | 1 | 2024 |
| Direct: Deep active learning under imbalance and label noise S Nuggehalli*, J Zhang*, L Jain, R Nowak arXiv preprint arXiv:2312.09196, 2023 | 1 | 2023 |
| Learning to actively learn: A robust approach J Zhang, L Jain, K Jamieson arXiv preprint arXiv:2010.15382, 2020 | 1 | 2020 |
| Learning from the Best: Active Learning for Wireless Communications N Soltani*, J Zhang*, B Salehi, D Roy, R Nowak, K Chowdhury IEEE Wireless Communications Magazine, 2024 | | 2024 |
Robert D NowakKeith and Jane Morgan Nosbusch Professor in ECE, Grace Wahba Professor of Data ScienceVerified email at wisc.edu
