Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels?
Cheng-En WuYu TianHaichao YuHeng WangPedro MorgadoYu Hen HuLinjie YangPublished in: ICCV (2023)
Keyphrases
- language model
- language modeling
- document retrieval
- n gram
- probabilistic model
- query expansion
- information retrieval
- speech recognition
- test collection
- retrieval model
- language modelling
- label noise
- smoothing methods
- language model for information retrieval
- ad hoc information retrieval
- statistical language models
- vector space model
- relevance model
- context sensitive
- training data
- translation model
- query specific
- term dependencies
- pseudo relevance feedback
- text retrieval
- web pages