Search Results for author: Beichen Zhang

Found 3 papers, 3 papers with code

Debiased Contrastive Learning of Unsupervised Sentence Representations

1 code implementation ACL 2022 Kun Zhou, Beichen Zhang, Wayne Xin Zhao, Ji-Rong Wen

In DCLR, we design an instance weighting method to punish false negatives and generate noise-based negatives to guarantee the uniformity of the representation space.

Contrastive Learning Semantic Textual Similarity

Rethinking Graph Neural Architecture Search from Message-passing

1 code implementation CVPR 2021 Shaofei Cai, Liang Li, Jincan Deng, Beichen Zhang, Zheng-Jun Zha, Li Su, Qingming Huang

Inspired by the strong searching capability of neural architecture search (NAS) in CNN, this paper proposes Graph Neural Architecture Search (GNAS) with novel-designed search space.

feature selection Neural Architecture Search

State-Relabeling Adversarial Active Learning

1 code implementation CVPR 2020 Beichen Zhang, Liang Li, Shijie Yang, Shuhui Wang, Zheng-Jun Zha, Qingming Huang

In this paper, we propose a state relabeling adversarial active learning model (SRAAL), that leverages both the annotation and the labeled/unlabeled state information for deriving the most informative unlabeled samples.

Active Learning

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