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05/04/2023
VendorLink: An NLP approach for Identifying Linking Vendor Migrants Potential Aliases on Darknet Markets
The anonymity on the Darknet allows vendors to stay undetected by using ...
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02/14/2022
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings
Learning scientific document representations can be substantially improv...
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02/25/2021
A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives
Modern natural language processing (NLP) methods employ self-supervised ...
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10/02/2020
Long-Tail Zero and Few-Shot Learning via Contrastive Pretraining on and for Small Data
For natural language processing (NLP) tasks such as sentiment or topic c...
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07/27/2020
EffiCare: Better Prognostic Models via Resource-Efficient Health Embeddings
Recent medical prognostic models adapted from high data-resource fields ...
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01/10/2020
MoRTy: Unsupervised Learning of Task-specialized Word Embeddings by Autoencoding
Word embeddings have undoubtedly revolutionized NLP. However, pre-traine...
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12/02/2019
