Papers by Yedid Hoshen
From Zero to Hero: Cold-Start Anomaly Detection (2024.findings-acl)
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| Challenge: | Existing anomaly detection methods require previous observations to be effective . contaminated observations are often not observed, making them ineffective . |
| Approach: | They propose a method that adapts a zero-shot anomaly detector to contaminated observations . they propose an evaluation suite consisting of evaluation protocols and metrics . |
| Outcome: | The proposed method adapts the zero-shot anomaly detector to contaminated observations. |
Non-Adversarial Unsupervised Word Translation (D18-1)
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| Challenge: | Unsupervised word translation from non-parallel inter-lingual corpora has attracted much research interest. |
| Approach: | They propose a method that aligns two words in two languages and iteratively refines the alignment. |
| Outcome: | The proposed method achieves better performance than state-of-the-art deep adversarial approaches on word translation of European and Non-European languages. |