1 code implementation • 3 Nov 2023 • Wenkai Chen, Sahithya Ravi, Vered Shwartz
One of the major limitations of the basic score is that it treats all words as equally important.
1 code implementation • 25 Aug 2023 • Xinyang Huang, Chuang Zhu, Wenkai Chen
Cross-domain few-shot segmentation (CD-FSS) aims to achieve semantic segmentation in previously unseen domains with a limited number of annotated samples.
1 code implementation • 4 May 2023 • Xinyang Huang, Chuang Zhu, Wenkai Chen
At the inter-domain level, we propose a cross-domain alignment loss to help the model use the target prototype for cross-domain knowledge transfer.
1 code implementation • 5 Dec 2021 • Chuang Zhu, Wenkai Chen, Ting Peng, Ying Wang, Mulan Jin
In this work, we introduce a novel hard sample aware noise robust learning method for histopathology image classification.
Ranked #1 on Learning with noisy labels on Chaoyang
1 code implementation • 2 Dec 2021 • Wenkai Chen, Chuang Zhu, Yi Chen, Mengting Li, Tiejun Huang
Imperfect labels are ubiquitous in real-world datasets and seriously harm the model performance.
Ranked #1 on Learning with noisy labels on CIFAR-100N
1 code implementation • ACL 2021 • Yilin Niu, Fei Huang, Jiaming Liang, Wenkai Chen, Xiaoyan Zhu, Minlie Huang
In this paper, we present a novel SEmantic-based Question Answering method (SEQA) for unsupervised commonsense question answering.