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SECL: A Zero-Day Attack Detector and Classifier based on Contrastive Learning and Strong Regularization

• Authors : Duraz, Robin; Espes, David; Francq, Julien ...

Subjects: Security and privacy → Intrusion detection systems; • Computing methodologies → Machine learning Intrusion Detection Systems; Zero-Day DetectionVienna; Austria

• Source: Proceedings of ARES'24 ; ARES 2024: The 19th International Conference on Availability, Reliability and Security ; https://imt-atlantique.hal.science/hal-04792982 ; ARES 2024: The 19th International

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CLUR: Uncertainty Estimation for Few-Shot Text Classification with Contrastive Learning

• Authors : He, Jianfeng; Zhang, Xuchao; Lei, Shuo

Subjects: Article - Refereed

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Dual Space Graph Contrastive Learning

• Authors : Yang, H; Chen, H; Pan, S

Subjects: Conference Proceeding

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Supervised Contrastive Learning for Interpretable Long-Form Document Matching

• Authors : Jha, Akshita; Rakesh, Vineeth; Chandrashekar, Jaideep

Subjects: Article - Refereed

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StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast

• Authors : Wu, Y; Dang, T; Spathis, D

Subjects: 46 Information and Computing Sciences; 4611 Machine Learning

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CL4DIV: A Contrastive Learning Framework for Search Result Diversification

• Authors : Deng, Zhirui; Dou, Zhicheng; Zhu, Yutao ...

• Source: Proceedings of the 17th ACM International Conference on Web Search and Data Mining ; page 171-180

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Towards Alignment-Uniformity Aware Representation in Graph Contrastive Learning

• Authors : Yan, Rong; Bao, Peng; Zhang, Xiao ...

• Source: Proceedings of the 17th ACM International Conference on Web Search and Data Mining ; page 873-881

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An Interpretable Brain Graph Contrastive Learning Framework for Brain Disorder Analysis

• Authors : Luo, Xuexiong; Dong, Guangwei; Wu, Jia ...

• Source: Proceedings of the 17th ACM International Conference on Web Search and Data Mining ; page 1074-1077

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Contrastive learning: Big Data Foundations and Applications

• Authors : Tripathi, Sandhya; King, Christopher Ryan

• Source: Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD) ; page 493-497

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A Linguistic Grounding-Infused Contrastive Learning Approach for Health Mention Classification on Social Media

• Authors : Naseem, Usman; Kim, Jinmaan; Khush, Matloob

• Source: Proceedings of the 17th ACM International Conference on Web Search and Data Mining ; page 529-537

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