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A Survey of Active Learning for Text Classification using Deep Neural
  Networks

A Survey of Active Learning for Text Classification using Deep Neural Networks

17 August 2020
Christopher Schröder
A. Niekler
ArXivPDFHTML

Papers citing "A Survey of Active Learning for Text Classification using Deep Neural Networks"

18 / 18 papers shown
Title
Advancing Scientific Text Classification: Fine-Tuned Models with Dataset Expansion and Hard-Voting
Advancing Scientific Text Classification: Fine-Tuned Models with Dataset Expansion and Hard-Voting
Z. R. K. Rostam
Gábor Kertész
24
0
0
26 Apr 2025
Hands-On Tutorial: Labeling with LLM and Human-in-the-Loop
Hands-On Tutorial: Labeling with LLM and Human-in-the-Loop
Ekaterina Artemova
Akim Tsvigun
Dominik Schlechtweg
Natalia Fedorova
Konstantin Chernyshev
Sergei Tilga
Boris Obmoroshev
SyDa
VLM
148
0
0
28 Jan 2025
More Samples or More Prompts? Exploring Effective In-Context Sampling
  for LLM Few-Shot Prompt Engineering
More Samples or More Prompts? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering
Bingsheng Yao
Guiming Hardy Chen
Ruishi Zou
Yuxuan Lu
Jiachen Li
Shao Zhang
Yisi Sang
Sijia Liu
James A. Hendler
Dakuo Wang
45
13
0
16 Nov 2023
On Active Learning for Gaussian Process-based Global Sensitivity
  Analysis
On Active Learning for Gaussian Process-based Global Sensitivity Analysis
Mohit Chauhan
Mariel A. Ojeda-Tuz
R. Catarelli
K. Gurley
Dimitrios Tsapetis
Michael D. Shields
18
12
0
27 Aug 2023
Taming Small-sample Bias in Low-budget Active Learning
Taming Small-sample Bias in Low-budget Active Learning
Linxin Song
Jieyu Zhang
Xiaotian Lu
Dinesh Manocha
AI4CE
20
0
0
19 Jun 2023
Active Learning Principles for In-Context Learning with Large Language
  Models
Active Learning Principles for In-Context Learning with Large Language Models
Katerina Margatina
Timo Schick
Nikolaos Aletras
Jane Dwivedi-Yu
30
39
0
23 May 2023
Beyond Labels: Empowering Human Annotators with Natural Language
  Explanations through a Novel Active-Learning Architecture
Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture
Bingsheng Yao
Ishan Jindal
Lucian Popa
Yannis Katsis
Sayan Ghosh
...
Yuxuan Lu
Shashank Srivastava
Yunyao Li
James A. Hendler
Dakuo Wang
34
10
0
22 May 2023
On the Limitations of Simulating Active Learning
On the Limitations of Simulating Active Learning
Katerina Margatina
Nikolaos Aletras
31
11
0
21 May 2023
Learning towards Selective Data Augmentation for Dialogue Generation
Learning towards Selective Data Augmentation for Dialogue Generation
Xiuying Chen
Mingzhe Li
Jiayi Zhang
Xiaoqiang Xia
Chen Wei
Jianwei Cui
Xin Gao
Xiangliang Zhang
Rui Yan
38
7
0
17 Mar 2023
Label-Efficient Interactive Time-Series Anomaly Detection
Label-Efficient Interactive Time-Series Anomaly Detection
Hongmei Guo
Yujing Wang
Jieyu Zhang
Zhe-Min Lin
Yu Tong
Lei Yang
Luoxing Xiong
Congrui Huang
AI4TS
27
1
0
30 Dec 2022
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
33
65
0
18 Oct 2022
Analyzing Text Representations under Tight Annotation Budgets: Measuring
  Structural Alignment
Analyzing Text Representations under Tight Annotation Budgets: Measuring Structural Alignment
César González-Gutiérrez
Audi Primadhanty
Francesco Cazzaro
A. Quattoni
33
0
0
11 Oct 2022
Human-Centric Artificial Intelligence Architecture for Industry 5.0
  Applications
Human-Centric Artificial Intelligence Architecture for Industry 5.0 Applications
Jovze M. Rovzanec
I. Novalija
Patrik Zajec
K. Kenda
Hooman Tavakoli
...
G. Sofianidis
Spyros Theodoropoulos
Blavz Fortuna
Dunja Mladenić
John Soldatos
3DV
AI4CE
38
119
0
21 Mar 2022
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules
Wei Tan
Lan Du
Wray L. Buntine
16
30
0
27 Oct 2021
Active learning for reducing labeling effort in text classification
  tasks
Active learning for reducing labeling effort in text classification tasks
Peter Jacobs
Gideon Maillette de Buy Wenniger
M. Wiering
Lambert Schomaker
VLM
48
12
0
10 Sep 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,675
0
05 Dec 2016
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
9,145
0
06 Jun 2015
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
255
13,368
0
25 Aug 2014
1