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Chapter and Conference Paper
Improving Anti-money Laundering via Fourier-Based Contrastive Learning
Anti-money laundering (AML) aims to detect money laundering from daily transactions, which is the key frontier of combating financial crimes. Previous deep-learning AML methods are not robust enough. To addres...
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Chapter and Conference Paper
Unsupervised Cross-Lingual Sentence Representation Learning via Linguistic Isomorphism
Recently, many researches on learning cross-lingual word embeddings...