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Multi-task Active Learning for Pre-trained Transformer-based Models

Multi-task Active Learning for Pre-trained Transformer-based Models

10 August 2022
Guy Rotman
Roi Reichart
ArXivPDFHTML

Papers citing "Multi-task Active Learning for Pre-trained Transformer-based Models"

7 / 7 papers shown
Title
Balancing Accuracy, Calibration, and Efficiency in Active Learning with Vision Transformers Under Label Noise
Balancing Accuracy, Calibration, and Efficiency in Active Learning with Vision Transformers Under Label Noise
Moseli Motsóehli
Hope Mogale
Kyungim Baek
38
0
0
07 May 2025
Assistive Image Annotation Systems with Deep Learning and Natural
  Language Capabilities: A Review
Assistive Image Annotation Systems with Deep Learning and Natural Language Capabilities: A Review
Moseli Motsóehli
VLM
3DV
30
0
0
28 Jun 2024
Semi-Automated Construction of Food Composition Knowledge Base
Semi-Automated Construction of Food Composition Knowledge Base
Jason Youn
Fangzhou Li
I. Tagkopoulos
37
0
0
24 Jan 2023
A Survey of Active Learning for Natural Language Processing
A Survey of Active Learning for Natural Language Processing
Zhisong Zhang
Emma Strubell
Eduard H. Hovy
LM&MA
25
65
0
18 Oct 2022
Calibration of Pre-trained Transformers
Calibration of Pre-trained Transformers
Shrey Desai
Greg Durrett
UQLM
243
289
0
17 Mar 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,950
0
20 Apr 2018
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
282
9,136
0
06 Jun 2015
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