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2109.00523
Cited By
Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
1 September 2021
Shuhuai Ren
Jinchao Zhang
Lei Li
Xu Sun
Jie Zhou
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Papers citing
"Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification"
15 / 15 papers shown
The Effects of Data Augmentation on Confidence Estimation for LLMs
Rui Wang
Renyu Zhu
Minmin Lin
R. Wu
Tangjie Lv
Changjie Fan
Haobo Wang
182
0
0
21 May 2025
UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation
Juhwan Choi
Yeonghwa Kim
Seunguk Yu
Jungmin Yun
Youngbin Kim
270
11
0
02 May 2024
Automated data processing and feature engineering for deep learning and big data applications: a survey
Journal of Information and Intelligence (JII), 2024
A. Mumuni
F. Mumuni
TPM
378
157
0
18 Mar 2024
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
Knowledge and Information Systems (KAIS), 2024
A. Mumuni
F. Mumuni
479
25
0
13 Mar 2024
AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimes
Juhwan Choi
Kyohoon Jin
Junho Lee
Sangmin Song
Youngbin Kim
290
3
0
08 Feb 2024
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization
International Conference on Machine Learning (ICML), 2023
Hyeon-Seob Kim
Minsu Kim
SungSoo Ahn
Jinkyoo Park
OffRL
538
9
0
02 Jun 2023
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Xuming Hu
Aiwei Liu
Zeqi Tan
Xin Zhang
Chenwei Zhang
Irwin King
Philip S. Yu
391
21
0
26 May 2023
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
320
3
0
26 Apr 2023
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
267
5
0
19 Apr 2023
Data Augmentation for Neural NLP
Domagoj Pluscec
Jan Snajder
307
6
0
22 Feb 2023
AugCSE: Contrastive Sentence Embedding with Diverse Augmentations
Zilu Tang
Muhammed Yusuf Kocyigit
Derry Wijaya
322
10
0
20 Oct 2022
State-of-the-art generalisation research in NLP: A taxonomy and review
Nature Machine Intelligence (Nat. Mach. Intell.), 2022
Dieuwke Hupkes
Mario Giulianelli
Verna Dankers
Mikel Artetxe
Yanai Elazar
...
Leila Khalatbari
Maria Ryskina
Rita Frieske
Robert Bamler
Zhijing Jin
722
140
0
06 Oct 2022
BootAug: Boosting Text Augmentation via Hybrid Instance Filtering Framework
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Heng Yang
Ke Li
286
9
0
06 Oct 2022
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks
Knowledge and Information Systems (KAIS), 2022
Z. Yang
Richard Sinnott
James Bailey
Qiuhong Ke
335
66
0
14 Jun 2022
PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot Learners
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2022
Canyu Chen
Kai Shu
VLM
480
12
0
18 May 2022
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