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