all AI news
Microsoft & Xiamen U’s Progressive Distillation Method Sets New SOTA for Dense Retrieval
Sept. 30, 2022, 12:56 a.m. | Synced
Synced syncedreview.com
In the new paper Progressive Distillation for Dense Retrieval, a research team from Xiamen U and Microsoft Research presents PROD, a progressive distillation method for dense retrieval that achieves state-of-the-art performance on five widely used benchmarks.
The post Microsoft & Xiamen U’s Progressive Distillation Method Sets New SOTA for Dense Retrieval first appeared on Synced.
ai artificial intelligence deep-neural-networks distillation information-retrieval knowledge-distillation machine learning machine learning & data science microsoft ml research retrieval sota technology
More from syncedreview.com / Synced
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Senior ML Engineer
@ Carousell Group | Ho Chi Minh City, Vietnam
Data and Insight Analyst
@ Cotiviti | Remote, United States