Jifan Zhang

According to our database, Jifan Zhang authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning from the Best: Active Learning for Wireless Communications.

Nasim Soltani, Jifan Zhang, Batool Salehi, Debashri Roy, Robert D. Nowak, Kaushik R. Chowdhury

CoRR, 2024

An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models.

Gantavya Bhatt, Yifang Chen, Arnav Mohanty Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeffrey A. Bilmes, Simon S. Du, Kevin G. Jamieson, Jordan T. Ash, Robert D. Nowak

CoRR, 2024

2023

DIRECT: Deep Active Learning under Imbalance and Label Noise.

Shyam Nuggehalli, Jifan Zhang, Lalit Jain, Robert D. Nowak

CoRR, 2023

LabelBench: A Comprehensive Framework for Benchmarking Label-Efficient Learning.

Jifan Zhang, Yifang Chen, Gregory Canal, Stephen Mussmann, Yinglun Zhu, Simon Shaolei Du, Kevin G. Jamieson, Robert D. Nowak

CoRR, 2023

Algorithm Selection for Deep Active Learning with Imbalanced Datasets.

Jifan Zhang, Shuai Shao, Saurabh Verma, Robert D. Nowak

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Recurrent Fine-Grained Self-Attention Network for Video Crowd Counting.

Jifan Zhang, Zhe Wu, Xinfeng Zhang, Guoli Song, Yaowei Wang, Jie Chen

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

A Better Way to Decay: Proximal Gradient Training Algorithms for Neural Nets.

Liu Yang, Jifan Zhang, Joseph Shenouda, Dimitris S. Papailiopoulos, Kangwook Lee, Robert D. Nowak

CoRR, 2022

GALAXY: Graph-based Active Learning at the Extreme.

Jifan Zhang, Julian Katz-Samuels, Robert D. Nowak

Proceedings of the International Conference on Machine Learning, 2022

2021

Improved Algorithms for Agnostic Pool-based Active Classification.

Julian Katz-Samuels, Jifan Zhang, Lalit Jain, Kevin Jamieson

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Learning to Actively Learn: A Robust Approach.

Jifan Zhang, Kevin Jamieson

CoRR, 2020