Publications

Preprint

  1. SIEVE: General Purpose Data Filtering System Matching GPT-4o Accuracy at 1% the Cost PDF Jifan Zhang, Robert Nowak (2024)

  2. DIRECT: Deep Active Learning Under Imbalance and Label Noise PDF
    Shyam Nuggehalli*, Jifan Zhang*, Lalit Jain, Robert Nowak (2024)

Refereed Conference/Journal Papers

  1. Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning PDF
    Jifan Zhang*, Lalit Jain*, Yang Guo*, Jiayi Chen, Kuan Lok Zhou, Siddharth Suresh, Andrew Wagenmaker, Scott Sievert, Timothy Rogers, Kevin Jamieson, Robert Mankoff, Robert Nowak
    Advances in Neural Information Processing Systems 37 (NeurIPS 2024).

  2. AHA: Human-Assisted Out-of-Distribution Generalization and Detection PDF
    Haoyue Bai, Jifan Zhang, Robert Nowak
    Advances in Neural Information Processing Systems 37 (NeurIPS 2024).

  3. 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
    Findings of the Association for Computational Linguistics: ACL 2024.

  4. Learning from the Best: Active Learning for Wireless Communications PDF
    Nasim Soltani*, Jifan Zhang*, Batool Salehi, Debashri Roy, Robert Nowak, Kaushik Chowdhury
    Accepted at IEEE Wireless Communications Magazine (2024).

  5. 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).

  6. 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).

  7. 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).

  8. 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

  1. 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).

  2. Learning to Actively Learn: A Robust Approach PDF
    Jifan Zhang, Lalit Jain, Kevin Jamieson (2020)


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