Search Results for author: Qian-Wei Wang

Found 4 papers, 1 papers with code

Pre-Trained Vision-Language Models as Partial Annotators

no code implementations23 May 2024 Qian-Wei Wang, Yuqiu Xie, Letian Zhang, Zimo Liu, Shu-Tao Xia

Pre-trained vision-language models learn massive data to model unified representations of images and natural languages, which can be widely applied to downstream machine learning tasks.

Contrastive Learning Image Classification +2

Delving into Identify-Emphasize Paradigm for Combating Unknown Bias

no code implementations22 Feb 2023 Bowen Zhao, Chen Chen, Qian-Wei Wang, Anfeng He, Shu-Tao Xia

For challenge B, we point out that the gradient contribution statistics can be a reliable indicator to inspect whether the optimization is dominated by bias-aligned samples.

Controller-Guided Partial Label Consistency Regularization with Unlabeled Data

no code implementations20 Oct 2022 Qian-Wei Wang, Bowen Zhao, Mingyan Zhu, Tianxiang Li, Zimo Liu, Shu-Tao Xia

Partial label learning (PLL) learns from training examples each associated with multiple candidate labels, among which only one is valid.

Contrastive Learning Data Augmentation +2

Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment

1 code implementation25 Nov 2021 Bowen Zhao, Chen Chen, Qian-Wei Wang, Anfeng He, Shu-Tao Xia

For challenge B, we point out that the gradient contribution statistics can be a reliable indicator to inspect whether the optimization is dominated by bias-aligned samples.

Fairness

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