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Cold-start Active Learning through Self-supervised Language Modeling

Cold-start Active Learning through Self-supervised Language Modeling

19 October 2020
Michelle Yuan
Hsuan-Tien Lin
Jordan L. Boyd-Graber
ArXivPDFHTML

Papers citing "Cold-start Active Learning through Self-supervised Language Modeling"

28 / 28 papers shown
Title
Coherence-Driven Multimodal Safety Dialogue with Active Learning for Embodied Agents
Coherence-Driven Multimodal Safety Dialogue with Active Learning for Embodied Agents
Sabit Hassan
Hye-Young Chung
Xiang Zhi Tan
Malihe Alikhani
50
0
0
18 Oct 2024
Self-Training for Sample-Efficient Active Learning for Text
  Classification with Pre-Trained Language Models
Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models
Christopher Schröder
Gerhard Heyer
VLM
44
0
0
13 Jun 2024
AnchorAL: Computationally Efficient Active Learning for Large and
  Imbalanced Datasets
AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets
Pietro Lesci
Andreas Vlachos
33
2
0
08 Apr 2024
Turn-Level Active Learning for Dialogue State Tracking
Turn-Level Active Learning for Dialogue State Tracking
Zihan Zhang
Meng Fang
Fanghua Ye
Ling-Hao Chen
Mohammad-Reza Namazi-Rad
43
1
0
23 Oct 2023
Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning
  Strategies are not Better than Random Selection
Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection
Sophia Althammer
Guido Zuccon
Sebastian Hofstatter
Suzan Verberne
Allan Hanbury
30
4
0
12 Sep 2023
Relating tSNE and UMAP to Classical Dimensionality Reduction
Relating tSNE and UMAP to Classical Dimensionality Reduction
Andrew Draganov
Simon Dohn
FAtt
25
4
0
20 Jun 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
Tianyi Zhou
AI4CE
20
0
0
19 Jun 2023
A Proxy Attack-Free Strategy for Practically Improving the Poisoning
  Efficiency in Backdoor Attacks
A Proxy Attack-Free Strategy for Practically Improving the Poisoning Efficiency in Backdoor Attacks
Ziqiang Li
Hong Sun
Pengfei Xia
Beihao Xia
Xue Rui
Wei Zhang
Qinglang Guo
Bin Li
AAML
32
8
0
14 Jun 2023
Transfer and Active Learning for Dissonance Detection: Addressing the
  Rare-Class Challenge
Transfer and Active Learning for Dissonance Detection: Addressing the Rare-Class Challenge
Vasudha Varadarajan
Swanie Juhng
Syeda Mahwish
Xiaoran Liu
Jonah Luby
C. Luhmann
H. A. Schwartz
31
3
0
03 May 2023
Active learning for data streams: a survey
Active learning for data streams: a survey
Davide Cacciarelli
M. Kulahci
25
40
0
17 Feb 2023
Investigating Multi-source Active Learning for Natural Language
  Inference
Investigating Multi-source Active Learning for Natural Language Inference
Ard Snijders
Douwe Kiela
Katerina Margatina
24
7
0
14 Feb 2023
Deep Active Learning Using Barlow Twins
Deep Active Learning Using Barlow Twins
J. Mandivarapu
Blake Camp
Rolando Estrada
SSL
24
0
0
30 Dec 2022
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
Radically Lower Data-Labeling Costs for Visually Rich Document
  Extraction Models
Radically Lower Data-Labeling Costs for Visually Rich Document Extraction Models
Yichao Zhou
James Bradley Wendt
Navneet Potti
Jing Xie
Sandeep Tata
VLM
29
1
0
28 Oct 2022
Uncertainty Sentence Sampling by Virtual Adversarial Perturbation
Uncertainty Sentence Sampling by Virtual Adversarial Perturbation
Han Zhang
Zhen Zhang
Hongfei Jiang
Yang Song
28
0
0
26 Oct 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
30
65
0
18 Oct 2022
Active Few-Shot Classification: a New Paradigm for Data-Scarce Learning
  Settings
Active Few-Shot Classification: a New Paradigm for Data-Scarce Learning Settings
Aymane Abdali
Vincent Gripon
Lucas Drumetz
Bartosz Bogusławski
21
1
0
23 Sep 2022
Is More Data Better? Re-thinking the Importance of Efficiency in Abusive
  Language Detection with Transformers-Based Active Learning
Is More Data Better? Re-thinking the Importance of Efficiency in Abusive Language Detection with Transformers-Based Active Learning
Hannah Rose Kirk
Bertie Vidgen
Scott A. Hale
18
10
0
21 Sep 2022
Warm Start Active Learning with Proxy Labels \& Selection via
  Semi-Supervised Fine-Tuning
Warm Start Active Learning with Proxy Labels \& Selection via Semi-Supervised Fine-Tuning
V. Nath
Dong Yang
H. Roth
Daguang Xu
38
25
0
13 Sep 2022
Efficient Methods for Natural Language Processing: A Survey
Efficient Methods for Natural Language Processing: A Survey
Marcos Vinícius Treviso
Ji-Ung Lee
Tianchu Ji
Betty van Aken
Qingqing Cao
...
Emma Strubell
Niranjan Balasubramanian
Leon Derczynski
Iryna Gurevych
Roy Schwartz
28
109
0
31 Aug 2022
ALLSH: Active Learning Guided by Local Sensitivity and Hardness
ALLSH: Active Learning Guided by Local Sensitivity and Hardness
Shujian Zhang
Chengyue Gong
Xingchao Liu
Pengcheng He
Weizhu Chen
Mingyuan Zhou
25
26
0
10 May 2022
Towards Computationally Feasible Deep Active Learning
Towards Computationally Feasible Deep Active Learning
Akim Tsvigun
Artem Shelmanov
Gleb Kuzmin
Leonid Sanochkin
Daniil Larionov
Gleb Gusev
Manvel Avetisian
L. Zhukov
26
15
0
07 May 2022
Multi-View Active Learning for Short Text Classification in
  User-Generated Data
Multi-View Active Learning for Short Text Classification in User-Generated Data
Payam Karisani
Negin Karisani
Li Xiong
VLM
15
4
0
05 Dec 2021
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
Small-Text: Active Learning for Text Classification in Python
Small-Text: Active Learning for Text Classification in Python
Christopher Schröder
Lydia Muller
A. Niekler
Martin Potthast
CLIP
VLM
AI4CE
33
23
0
21 Jul 2021
Supporting Land Reuse of Former Open Pit Mining Sites using Text
  Classification and Active Learning
Supporting Land Reuse of Former Open Pit Mining Sites using Text Classification and Active Learning
Christopher Schröder
Kim Bürgl
Yves Annanias
A. Niekler
Lydia Muller
Daniel Wiegreffe
Christian Bender
Christoph Mengs
G. Scheuermann
Gerhard Heyer
37
8
0
12 May 2021
On the Importance of Effectively Adapting Pretrained Language Models for
  Active Learning
On the Importance of Effectively Adapting Pretrained Language Models for Active Learning
Katerina Margatina
Loïc Barrault
Nikolaos Aletras
19
36
0
16 Apr 2021
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
415
2,586
0
03 Sep 2019
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