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Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification

Research article (Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021) · cited 71× · AI/ML
academia openalex:W3200253633
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Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification

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Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification is a scholarly article[1].

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  • Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/not-all-negatives-are-equal-label-aware-contrastive-loss-for-fine-grained-text-classification
MLA “Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/not-all-negatives-are-equal-label-aware-contrastive-loss-for-fine-grained-text-classification.
BibTeX @misc{4ortxyz_not-all-negatives-are-equal-label-aware-contrastive-loss-for-fine-grained-text-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification}}, year = {2026}, url = {https://4ort.xyz/entity/not-all-negatives-are-equal-label-aware-contrastive-loss-for-fine-grained-text-classification}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification — https://4ort.xyz/entity/not-all-negatives-are-equal-label-aware-contrastive-loss-for-fine-grained-text-classification (retrieved 2026-05-24)

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