ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2308.02537
  4. Cited By
ALE: A Simulation-Based Active Learning Evaluation Framework for the
  Parameter-Driven Comparison of Query Strategies for NLP

ALE: A Simulation-Based Active Learning Evaluation Framework for the Parameter-Driven Comparison of Query Strategies for NLP

1 August 2023
Philipp Kohl
Nils Freyer
Yoka Krämer
H. Werth
Steffen Wolf
Bodo Kraft
Matthias Meinecke
Albert Zündorf
ArXivPDFHTML

Papers citing "ALE: A Simulation-Based Active Learning Evaluation Framework for the Parameter-Driven Comparison of Query Strategies for NLP"

22 / 22 papers shown
Title
A Comprehensive Survey of Few-shot Learning: Evolution, Applications,
  Challenges, and Opportunities
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
108
368
0
13 May 2022
A Comparative Survey of Deep Active Learning
A Comparative Survey of Deep Active Learning
Xueying Zhan
Qingzhong Wang
Kuan-Hao Huang
Haoyi Xiong
Dejing Dou
Antoni B. Chan
FedML
HAI
76
111
0
25 Mar 2022
Ethical and social risks of harm from Language Models
Ethical and social risks of harm from Language Models
Laura Weidinger
John F. J. Mellor
Maribeth Rauh
Conor Griffin
J. Uesato
...
Lisa Anne Hendricks
William S. Isaac
Sean Legassick
G. Irving
Iason Gabriel
PILM
97
1,030
0
08 Dec 2021
DeepAL: Deep Active Learning in Python
DeepAL: Deep Active Learning in Python
Kuan-Hao Huang
AI4CE
72
17
0
30 Nov 2021
A Survey on Cost Types, Interaction Schemes, and Annotator Performance
  Models in Selection Algorithms for Active Learning in Classification
A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification
M. Herde
Denis Huseljic
Bernhard Sick
A. Calma
55
25
0
23 Sep 2021
Understanding Catastrophic Forgetting and Remembering in Continual
  Learning with Optimal Relevance Mapping
Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping
Prakhar Kaushik
Alex Gain
Adam Kortylewski
Alan Yuille
CLL
34
71
0
22 Feb 2021
On Statistical Bias In Active Learning: How and When To Fix It
On Statistical Bias In Active Learning: How and When To Fix It
Sebastian Farquhar
Y. Gal
Tom Rainforth
TDI
HAI
40
85
0
27 Jan 2021
Class-incremental learning: survey and performance evaluation on image
  classification
Class-incremental learning: survey and performance evaluation on image classification
Marc Masana
Xialei Liu
Bartlomiej Twardowski
Mikel Menta
Andrew D. Bagdanov
Joost van de Weijer
CLL
75
686
0
28 Oct 2020
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
171
184
0
19 Oct 2020
A Survey of Deep Active Learning
A Survey of Deep Active Learning
Pengzhen Ren
Yun Xiao
Xiaojun Chang
Po-Yao (Bernie) Huang
Zhihui Li
Brij B. Gupta
Xiaojiang Chen
Xin Wang
93
1,136
0
30 Aug 2020
A Survey of Active Learning for Text Classification using Deep Neural
  Networks
A Survey of Active Learning for Text Classification using Deep Neural Networks
Christopher Schröder
A. Niekler
49
100
0
17 Aug 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
731
41,894
0
28 May 2020
Fair Active Learning
Fair Active Learning
Hadis Anahideh
Abolfazl Asudeh
Saravanan Thirumuruganathan
FaML
63
53
0
06 Jan 2020
Quantifying the Carbon Emissions of Machine Learning
Quantifying the Carbon Emissions of Machine Learning
Alexandre Lacoste
A. Luccioni
Victor Schmidt
Thomas Dandres
88
701
0
21 Oct 2019
On Model Stability as a Function of Random Seed
On Model Stability as a Function of Random Seed
Pranava Madhyastha
Dhruv Batra
81
63
0
23 Sep 2019
Text Classification Algorithms: A Survey
Text Classification Algorithms: A Survey
Kamran Kowsari
K. Meimandi
Mojtaba Heidarysafa
Sanjana Mendu
Laura E. Barnes
Donald E. Brown
60
1,296
0
17 Apr 2019
Deep Active Learning for Efficient Training of a LiDAR 3D Object
  Detector
Deep Active Learning for Efficient Training of a LiDAR 3D Object Detector
Di Feng
Xiao Wei
Lars Rosenbaum
A. Maki
Klaus C. J. Dietmayer
3DPC
58
86
0
29 Jan 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.7K
94,729
0
11 Oct 2018
Online Learning: A Comprehensive Survey
Online Learning: A Comprehensive Survey
Guosheng Lin
Doyen Sahoo
Jing Lu
P. Zhao
OffRL
58
643
0
08 Feb 2018
libact: Pool-based Active Learning in Python
libact: Pool-based Active Learning in Python
Yao-Yuan Yang
Shao-Chuan Lee
Yu-An Chung
Tung-En Wu
Si-An Chen
Hsuan-Tien Lin
AI4CE
KELM
53
63
0
01 Oct 2017
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
348
7,498
0
02 Dec 2016
Algorithms for multi-armed bandit problems
Algorithms for multi-armed bandit problems
Volodymyr Kuleshov
Doina Precup
130
350
0
25 Feb 2014
1