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Text AutoAugment: Learning Compositional Augmentation Policy for Text
  Classification

Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification

1 September 2021
Shuhuai Ren
Jinchao Zhang
Lei Li
Xu Sun
Jie Zhou
ArXivPDFHTML

Papers citing "Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification"

15 / 15 papers shown
Title
UniGen: Universal Domain Generalization for Sentiment Classification via
  Zero-shot Dataset Generation
UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation
Juhwan Choi
Yeonghwa Kim
Seunguk Yu
Jungmin Yun
Youngbin Kim
36
1
0
02 May 2024
Automated data processing and feature engineering for deep learning and
  big data applications: a survey
Automated data processing and feature engineering for deep learning and big data applications: a survey
A. Mumuni
F. Mumuni
TPM
35
47
0
18 Mar 2024
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
A. Mumuni
F. Mumuni
57
4
0
13 Mar 2024
AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods
  in Low-resource Regimes
AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimes
Juhwan Choi
Kyohoon Jin
Junho Lee
Sangmin Song
Youngbin Kim
13
1
0
08 Feb 2024
Symmetric Replay Training: Enhancing Sample Efficiency in Deep
  Reinforcement Learning for Combinatorial Optimization
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization
Hyeon-Seob Kim
Minsu Kim
Sungsoo Ahn
Jinkyoo Park
OffRL
29
7
0
02 Jun 2023
GDA: Generative Data Augmentation Techniques for Relation Extraction
  Tasks
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks
Xuming Hu
Aiwei Liu
Zeqi Tan
Xin Zhang
Chenwei Zhang
Irwin King
Philip S. Yu
31
16
0
26 May 2023
Multimodal Grounding for Embodied AI via Augmented Reality Headsets for
  Natural Language Driven Task Planning
Multimodal Grounding for Embodied AI via Augmented Reality Headsets for Natural Language Driven Task Planning
Selma Wanna
Fabian Parra
R. Valner
Karl Kruusamäe
Mitch Pryor
LM&Ro
22
2
0
26 Apr 2023
MixPro: Simple yet Effective Data Augmentation for Prompt-based Learning
MixPro: Simple yet Effective Data Augmentation for Prompt-based Learning
Bohan Li
Longxu Dou
Yutai Hou
Yunlong Feng
Honglin Mu
Qingfu Zhu
Qinghua Sun
Wanxiang Che
VLM
29
3
0
19 Apr 2023
Data Augmentation for Neural NLP
Data Augmentation for Neural NLP
Domagoj Pluscec
Jan Snajder
6
6
0
22 Feb 2023
AugCSE: Contrastive Sentence Embedding with Diverse Augmentations
AugCSE: Contrastive Sentence Embedding with Diverse Augmentations
Zilu Tang
Muhammed Yusuf Kocyigit
Derry Wijaya
18
8
0
20 Oct 2022
State-of-the-art generalisation research in NLP: A taxonomy and review
State-of-the-art generalisation research in NLP: A taxonomy and review
Dieuwke Hupkes
Mario Giulianelli
Verna Dankers
Mikel Artetxe
Yanai Elazar
...
Leila Khalatbari
Maria Ryskina
Rita Frieske
Ryan Cotterell
Zhijing Jin
106
92
0
06 Oct 2022
BootAug: Boosting Text Augmentation via Hybrid Instance Filtering
  Framework
BootAug: Boosting Text Augmentation via Hybrid Instance Filtering Framework
Heng Yang
Ke Li
34
5
0
06 Oct 2022
A Survey of Automated Data Augmentation Algorithms for Deep
  Learning-based Image Classification Tasks
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks
Z. Yang
Richard Sinnott
James Bailey
Qiuhong Ke
11
39
0
14 Jun 2022
PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot
  Learners
PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot Learners
Canyu Chen
Kai Shu
VLM
26
8
0
18 May 2022
Data Augmentation using Pre-trained Transformer Models
Data Augmentation using Pre-trained Transformer Models
Varun Kumar
Ashutosh Choudhary
Eunah Cho
VLM
209
347
0
04 Mar 2020
1