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Smooth Sailing: Improving Active Learning for Pre-trained Language
  Models with Representation Smoothness Analysis

Smooth Sailing: Improving Active Learning for Pre-trained Language Models with Representation Smoothness Analysis

20 December 2022
Josip Jukić
Jan Snajder
ArXivPDFHTML

Papers citing "Smooth Sailing: Improving Active Learning for Pre-trained Language Models with Representation Smoothness Analysis"

3 / 3 papers shown
Title
STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient
  Fine-Tuning of Large Language Models
STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models
Linhai Zhang
Jialong Wu
Deyu Zhou
Guoqiang Xu
30
4
0
02 Mar 2024
Cold-start Active Learning through Self-supervised Language Modeling
Cold-start Active Learning through Self-supervised Language Modeling
Michelle Yuan
Hsuan-Tien Lin
Jordan L. Boyd-Graber
116
180
0
19 Oct 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
1