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cs.CL2023
Boot and Switch: Alternating Distillation for Zero-Shot Dense Retrieval
Fan Jiang, Qiongkai Xu, Tom Drummond +1
Neural 'dense' retrieval models are state of the art for many datasets, however these models often exhibit limited domain transfer ability. Existing approaches to adaptation are un…
cs.CL2023
Noisy Self-Training with Synthetic Queries for Dense Retrieval
Fan Jiang, Tom Drummond, Trevor Cohn
Although existing neural retrieval models reveal promising results when training data is abundant and the performance keeps improving as training data increases, collecting high-qu…
cs.CR2023
Fingerprint Attack: Client De-Anonymization in Federated Learning
Qiongkai Xu, Trevor Cohn, Olga Ohrimenko
Federated Learning allows collaborative training without data sharing in settings where participants do not trust the central server and one another. Privacy can be further improve…