1 code implementation • 8 May 2023 • Peng Xia, Di Xu, Lie Ju, Ming Hu, Jun Chen, ZongYuan Ge
Long-tailed multi-label visual recognition (LTML) task is a highly challenging task due to the label co-occurrence and imbalanced data distribution.
Ranked #1 on Long-tail Learning on COCO-MLT (using extra training data)
1 code implementation • 23 Nov 2023 • Peng Xia, Xingtong Yu, Ming Hu, Lie Ju, Zhiyong Wang, Peibo Duan, ZongYuan Ge
We explore constructing the class hierarchy into a graph, with its nodes representing the textual or image features of each category.
Fine-Grained Visual Recognition Graph Representation Learning
2 code implementations • 31 Jul 2022 • Peng Xia, Yuechi Zhou, Ziyan Zhang, Zecheng Tang, Juntao Li
In view of the poor robustness of existing Chinese grammatical error correction models on attack test sets and large model parameters, this paper uses the method of knowledge distillation to compress model parameters and improve the anti-attack ability of the model.
no code implementations • ICML Workshop AutoML 2021 • David Eriksson, Pierce I-Jen Chuang, Samuel Daulton, Peng Xia, Akshat Shrivastava, Arun Babu, Shicong Zhao, Ahmed Aly, Ganesh Venkatesh, Maximilian Balandat
When tuning the architecture and hyperparameters of large machine learning models for on-device deployment, it is desirable to understand the optimal trade-offs between on-device latency and model accuracy.