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CLE-ViT: Contrastive Learning Encoded Transformer for Ultra-Fine-Grained Visual Categorization

• Authors : Yu, X; Wang, J; Gao, Y

Subjects: Artificial intelligenceMacao; China2023-08-19 to 2023-08-25

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Data Augmenting Contrastive Learning of Speech Representations in the Time Domain

• Authors : Kharitonov, Eugene; Rivière, Morgane; Synnaeve, Gabriel ...

Subjects: Speech recognition; Unsupervised representation learning; Contrastive predictive codingShenzhen / Virtual; China

• Source: SLT 2020 - IEEE Spoken Language Technology Workshop ; https://hal.science/hal-03070321 ; SLT 2020 - IEEE Spoken Language Technology Workshop, Dec 2020, Shenzhen / Virtual,

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Multi-view Pre-trained Model for Code Vulnerability Identification

• Authors : Jiang, Xuxiang; Xiao, Yinhao; Wang, Jun

Subjects: Machine learning; System and network security; CLONE DETECTIONDalian; China2022-11-24 to 2022-11-26

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A Self-Supervised Learning Framework for Sequential Recommendation

• Authors : Jia, Renqi; Bai, Xu; Zhou, Xiaofei

Subjects: Neural networks; Computer Science; Artificial IntelligenceShenzhen; China2021-07-18 to 2021-07-22

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MVI-TR: A Transformer-Based Deep Learning Model with Contrast-Enhanced CT for Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma.

• Authors : Cao, Linping^1,2 (AUTHOR); Wang, Qing³ (AUTHOR); Hong, Jiawei^1,2 (AUTHOR)

• Source: Cancers. Mar2023, Vol. 15 Issue 5, p1538. 16p.

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PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection

• Authors : Pan, J; Liu, Y; Zheng, Y

Subjects: Data mining and knowledge discoveryShanghai; China2023-12-01 to 2023-12-04

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Towards unsupervised learning of speech features in the wild

• Authors : Rivière, Morgane; Dupoux, Emmanuel;

Subjects: Speech recognition; Unsupervised representation learning; Contrastive predictive codingShenzhen / Virtual; China

• Source: SLT 2020 : IEEE Spoken Language Technology Workshop ; https://hal.science/hal-03070411 ; SLT 2020 : IEEE Spoken Language Technology Workshop, Dec 2020, Shenzhen / Virtual,

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Chinese medical dialogue information extraction via contrastive multi-utterance inference.

• Authors : Dai J; Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha 410081, China.; Jiang C

Subjects: Deep Learning* ; Information Storage and Retrieval*; Benchmarking

• Source: Briefings in bioinformatics [Brief Bioinform] 2022 Jul 18; Vol. 23 (4).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN:

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