no code implementations • 28 Feb 2024 • Bin Cao, Jianhao Yuan, Yexin Liu, Jian Li, Shuyang Sun, Jing Liu, Bo Zhao
To alleviate artifacts and improve quality of synthetic images, we fine-tune Vision-Language Model (VLM) as artifact classifier to automatically identify and classify a wide range of artifacts and provide supervision for further optimizing generative models.
no code implementations • ICLR 2022 • Yuqi Liu, Bin Cao, Jing Fan
To solve the imbalance classification, methods of weighting examples haven been proposed.
no code implementations • 27 Apr 2021 • Shuo Yuan, Bin Cao, Yao Sun, Zhiguo Wan, Mugen Peng
Introducing blockchain into Federated Learning (FL) to build a trusted edge computing environment for transmission and learning has attracted widespread attention as a new decentralized learning pattern.
no code implementations • 27 Apr 2021 • Mingrui Cao, Long Zhang, Bin Cao
Due to the distributed characteristics of Federated Learning (FL), the vulnerability of global model and coordination of devices are the main obstacle.
no code implementations • 8 Oct 2017 • Zheqian Chen, Rongqin Yang, Bin Cao, Zhou Zhao, Deng Cai, Xiaofei He
Machine Comprehension (MC) is a challenging task in Natural Language Processing field, which aims to guide the machine to comprehend a passage and answer the given question.
Ranked #33 on Question Answering on SQuAD1.1 dev
no code implementations • 28 Jul 2017 • Boyuan Pan, Hao Li, Zhou Zhao, Bin Cao, Deng Cai, Xiaofei He
Machine comprehension(MC) style question answering is a representative problem in natural language processing.
Ranked #37 on Question Answering on TriviaQA