2 papers
cs.CV2024
Source-Free Domain-Invariant Performance Prediction
Ekaterina Khramtsova, Mahsa Baktashmotlagh, Guido Zuccon +2
Accurately estimating model performance poses a significant challenge, particularly in scenarios where the source and target domains follow different data distributions. Most exist…
cs.IR2023
Selecting which Dense Retriever to use for Zero-Shot Search
Ekaterina Khramtsova, Shengyao Zhuang, Mahsa Baktashmotlagh +2
We propose the new problem of choosing which dense retrieval model to use when searching on a new collection for which no labels are available, i.e. in a zero-shot setting. Many de…