SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization.
Haoming JiangPengcheng HeWeizhu ChenXiaodong LiuJianfeng GaoTuo ZhaoPublished in: CoRR (2019)
Keyphrases
- fine tuning
- language model
- language modeling
- pre trained
- n gram
- probabilistic model
- document retrieval
- retrieval model
- query expansion
- speech recognition
- information retrieval
- test collection
- fine tuned
- language modelling
- statistical language models
- language models for information retrieval
- smoothing methods
- relevance feedback
- active learning
- image retrieval
- feature extraction
- document ranking
- data sets