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. 1901.11196
  4. Cited By
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text
  Classification Tasks

EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

31 January 2019
Jason W. Wei
Kai Zou
ArXivPDFHTML

Papers citing "EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks"

50 / 269 papers shown
Title
Teaching Structured Vision&Language Concepts to Vision&Language Models
Teaching Structured Vision&Language Concepts to Vision&Language Models
Sivan Doveh
Assaf Arbelle
Sivan Harary
Yikang Shen
Roei Herzig
...
Donghyun Kim
Raja Giryes
Rogerio Feris
S. Ullman
Leonid Karlinsky
VLM
CoGe
56
70
0
21 Nov 2022
On the Multidimensional Augmentation of Fingerprint Data for Indoor
  Localization in A Large-Scale Building Complex Based on Multi-Output Gaussian
  Process
On the Multidimensional Augmentation of Fingerprint Data for Indoor Localization in A Large-Scale Building Complex Based on Multi-Output Gaussian Process
Zhe Tang
Sihao Li
Kyeong Soo Kim
Jeremy Smith
16
0
0
19 Nov 2022
Self-Training with Purpose Preserving Augmentation Improves Few-shot
  Generative Dialogue State Tracking
Self-Training with Purpose Preserving Augmentation Improves Few-shot Generative Dialogue State Tracking
Jihyun Lee
C. Lee
Yunsu Kim
G. G. Lee
22
0
0
17 Nov 2022
Impact of Adversarial Training on Robustness and Generalizability of
  Language Models
Impact of Adversarial Training on Robustness and Generalizability of Language Models
Enes Altinisik
Hassan Sajjad
Husrev Taha Sencar
Safa Messaoud
Sanjay Chawla
AAML
24
8
0
10 Nov 2022
Tuning Language Models as Training Data Generators for
  Augmentation-Enhanced Few-Shot Learning
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning
Yu Meng
Martin Michalski
Jiaxin Huang
Yu Zhang
Tarek F. Abdelzaher
Jiawei Han
VLM
56
47
0
06 Nov 2022
Learning to Infer from Unlabeled Data: A Semi-supervised Learning
  Approach for Robust Natural Language Inference
Learning to Infer from Unlabeled Data: A Semi-supervised Learning Approach for Robust Natural Language Inference
Mobashir Sadat
Cornelia Caragea
21
2
0
05 Nov 2022
Pneg: Prompt-based Negative Response Generation for Dialogue Response
  Selection Task
Pneg: Prompt-based Negative Response Generation for Dialogue Response Selection Task
Nyoungwoo Lee
chaeHun Park
Ho-Jin Choi
Jaegul Choo
30
6
0
31 Oct 2022
Dictionary-Assisted Supervised Contrastive Learning
Dictionary-Assisted Supervised Contrastive Learning
Patrick Y. Wu
Richard Bonneau
Joshua A. Tucker
Jonathan Nagler
CLIP
33
0
0
27 Oct 2022
Weakly Supervised Data Augmentation Through Prompting for Dialogue
  Understanding
Weakly Supervised Data Augmentation Through Prompting for Dialogue Understanding
Maximillian Chen
Alexandros Papangelis
Chenyang Tao
Andrew Rosenbaum
Seokhwan Kim
Yang Liu
Zhou Yu
Dilek Z. Hakkani-Tür
39
32
0
25 Oct 2022
A Machine Learning Approach to Classifying Construction Cost Documents
  into the International Construction Measurement Standard
A Machine Learning Approach to Classifying Construction Cost Documents into the International Construction Measurement Standard
J. Ignacio Deza
Hisham Ihshaish
L. Mahdjoubi
36
0
0
24 Oct 2022
Augmentation with Projection: Towards an Effective and Efficient Data
  Augmentation Paradigm for Distillation
Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation
Ziqi Wang
Yuexin Wu
Frederick Liu
Daogao Liu
Le Hou
Hongkun Yu
Jing Li
Heng Ji
40
5
0
21 Oct 2022
AugCSE: Contrastive Sentence Embedding with Diverse Augmentations
AugCSE: Contrastive Sentence Embedding with Diverse Augmentations
Zilu Tang
Muhammed Yusuf Kocyigit
Derry Wijaya
35
9
0
20 Oct 2022
Machine and Deep Learning Methods with Manual and Automatic Labelling
  for News Classification in Bangla Language
Machine and Deep Learning Methods with Manual and Automatic Labelling for News Classification in Bangla Language
Istiak Ahmad
Fahad Alqurashi
Rashid Mehmood
SyDa
38
5
0
19 Oct 2022
Towards Realistic Low-resource Relation Extraction: A Benchmark with
  Empirical Baseline Study
Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study
Xin Xu
Xiang Chen
Ningyu Zhang
Xin Xie
Xi Chen
Huajun Chen
29
10
0
19 Oct 2022
Controllable Fake Document Infilling for Cyber Deception
Controllable Fake Document Infilling for Cyber Deception
Yibo Hu
Yu Lin
Eric Parolin
Latif Khan
Kevin W. Hamlen
35
8
0
18 Oct 2022
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot
  Named Entity Recognition
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition
Jiadong Wang
Chengcheng Han
Chengyu Wang
Chuanqi Tan
Minghui Qiu
Songfang Huang
Jun Huang
Ming Gao
30
21
0
17 Oct 2022
PeerDA: Data Augmentation via Modeling Peer Relation for Span
  Identification Tasks
PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Tasks
Weiwen Xu
Xin Li
Yang Deng
W. Lam
Lidong Bing
34
9
0
17 Oct 2022
SDA: Simple Discrete Augmentation for Contrastive Sentence
  Representation Learning
SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning
Dongsheng Zhu
Zhenyu Mao
Jinghui Lu
Rui Zhao
Fei Tan
36
1
0
08 Oct 2022
Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation
Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation
Xu Guo
Boyang Albert Li
Han Yu
VLM
41
22
0
06 Oct 2022
UniCLIP: Unified Framework for Contrastive Language-Image Pre-training
UniCLIP: Unified Framework for Contrastive Language-Image Pre-training
Janghyeon Lee
Jongsuk Kim
Hyounguk Shon
Bumsoo Kim
Seung Wook Kim
Honglak Lee
Junmo Kim
CLIP
VLM
54
53
0
27 Sep 2022
Semantically Consistent Data Augmentation for Neural Machine Translation
  via Conditional Masked Language Model
Semantically Consistent Data Augmentation for Neural Machine Translation via Conditional Masked Language Model
Qiao Cheng
Jin Huang
Yitao Duan
31
7
0
22 Sep 2022
SR-GCL: Session-Based Recommendation with Global Context Enhanced
  Augmentation in Contrastive Learning
SR-GCL: Session-Based Recommendation with Global Context Enhanced Augmentation in Contrastive Learning
Eunkyu Oh
Taehun Kim
Minsoo Kim
Yunhu Ji
Sushil Khyalia
28
1
0
22 Sep 2022
DoubleMix: Simple Interpolation-Based Data Augmentation for Text
  Classification
DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification
Hui Chen
Wei Han
Diyi Yang
Soujanya Poria
20
12
0
12 Sep 2022
Selective Text Augmentation with Word Roles for Low-Resource Text
  Classification
Selective Text Augmentation with Word Roles for Low-Resource Text Classification
Biyang Guo
Songqiao Han
Hailiang Huang
16
9
0
04 Sep 2022
Random Text Perturbations Work, but not Always
Random Text Perturbations Work, but not Always
Zhengxiang Wang
DeLMO
12
1
0
02 Sep 2022
Augraphy: A Data Augmentation Library for Document Images
Augraphy: A Data Augmentation Library for Document Images
Alexander Groleau
Kok Wei Chee
Stefan Larson
Samay Maini
Jonathan Boarman
35
10
0
30 Aug 2022
Improving Natural-Language-based Audio Retrieval with Transfer Learning
  and Audio & Text Augmentations
Improving Natural-Language-based Audio Retrieval with Transfer Learning and Audio & Text Augmentations
Paul Primus
Gerhard Widmer
26
6
0
24 Aug 2022
PCC: Paraphrasing with Bottom-k Sampling and Cyclic Learning for
  Curriculum Data Augmentation
PCC: Paraphrasing with Bottom-k Sampling and Cyclic Learning for Curriculum Data Augmentation
Hongyuan Lu
W. Lam
16
9
0
17 Aug 2022
SpanDrop: Simple and Effective Counterfactual Learning for Long
  Sequences
SpanDrop: Simple and Effective Counterfactual Learning for Long Sequences
Peng Qi
Guangtao Wang
Jing Huang
24
0
0
03 Aug 2022
A Feature-space Multimodal Data Augmentation Technique for Text-video
  Retrieval
A Feature-space Multimodal Data Augmentation Technique for Text-video Retrieval
Alex Falcon
G. Serra
Oswald Lanz
VGen
42
25
0
03 Aug 2022
Rethinking Textual Adversarial Defense for Pre-trained Language Models
Rethinking Textual Adversarial Defense for Pre-trained Language Models
Jiayi Wang
Rongzhou Bao
Zhuosheng Zhang
Hai Zhao
AAML
SILM
23
11
0
21 Jul 2022
Data Augmentation for Low-Resource Quechua ASR Improvement
Data Augmentation for Low-Resource Quechua ASR Improvement
Rodolfo Zevallos
Núria Bel
Guillermo Cámbara
Mireia Farrús
Jordi Luque
VLM
SyDa
19
6
0
14 Jul 2022
Building Korean Sign Language Augmentation (KoSLA) Corpus with Data
  Augmentation Technique
Building Korean Sign Language Augmentation (KoSLA) Corpus with Data Augmentation Technique
Changnam An
Eunkyung Han
Dongmyeong Noh
O. Kwon
Sumi Lee
H. Han
SLR
13
1
0
12 Jul 2022
Data Augmentation for Dementia Detection in Spoken Language
Data Augmentation for Dementia Detection in Spoken Language
Anna Hlédiková
Dominika Woszczyk
Alican Acman
Soteris Demetriou
Björn Schuller
33
12
0
26 Jun 2022
QAGAN: Adversarial Approach To Learning Domain Invariant Language
  Features
QAGAN: Adversarial Approach To Learning Domain Invariant Language Features
Shubham Shrivastava
Kaiyue Wang
OOD
27
2
0
24 Jun 2022
VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix
VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix
Teng Wang
Wenhao Jiang
Zhichao Lu
Feng Zheng
Ran Cheng
Chengguo Yin
Ping Luo
VLM
34
42
0
17 Jun 2022
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive
  Learning
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning
Yifei Zhang
Hao Zhu
Zixing Song
Piotr Koniusz
Iriwn King
44
90
0
09 Jun 2022
Marvolo: Programmatic Data Augmentation for Practical ML-Driven Malware
  Detection
Marvolo: Programmatic Data Augmentation for Practical ML-Driven Malware Detection
Michael D. Wong
Edward Raff
James Holt
Ravi Netravali
29
2
0
07 Jun 2022
A Multi-level Supervised Contrastive Learning Framework for Low-Resource
  Natural Language Inference
A Multi-level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference
Shuang Li
Xuming Hu
Li Lin
Aiwei Liu
Lijie Wen
Philip S. Yu
33
18
0
31 May 2022
UPB at SemEval-2022 Task 5: Enhancing UNITER with Image Sentiment and
  Graph Convolutional Networks for Multimedia Automatic Misogyny Identification
UPB at SemEval-2022 Task 5: Enhancing UNITER with Image Sentiment and Graph Convolutional Networks for Multimedia Automatic Misogyny Identification
Andrei Paraschiv
M. Dascalu
Dumitru-Clementin Cercel
24
3
0
29 May 2022
Leveraging Causal Inference for Explainable Automatic Program Repair
Leveraging Causal Inference for Explainable Automatic Program Repair
Jianzong Wang
Shijing Si
Z. Zhu
Xiaoyang Qu
Zhenhou Hong
Jing Xiao
27
3
0
26 May 2022
Leveraging QA Datasets to Improve Generative Data Augmentation
Leveraging QA Datasets to Improve Generative Data Augmentation
Dheeraj Mekala
Tu Vu
Timo Schick
Jingbo Shang
27
18
0
25 May 2022
New Intent Discovery with Pre-training and Contrastive Learning
New Intent Discovery with Pre-training and Contrastive Learning
Yuwei Zhang
Haode Zhang
Li-Ming Zhan
Albert Y.S. Lam
Albert Y. S. Lam
SSL
VLM
45
41
0
25 May 2022
Conditional Supervised Contrastive Learning for Fair Text Classification
Conditional Supervised Contrastive Learning for Fair Text Classification
Jianfeng Chi
Will Shand
Yaodong Yu
Kai-Wei Chang
Han Zhao
Yuan Tian
FaML
49
14
0
23 May 2022
Self-training with Two-phase Self-augmentation for Few-shot Dialogue
  Generation
Self-training with Two-phase Self-augmentation for Few-shot Dialogue Generation
Wanyu Du
Hanjie Chen
Yangfeng Ji
24
1
0
19 May 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
31
8
0
18 May 2022
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
50
344
0
13 May 2022
TreeMix: Compositional Constituency-based Data Augmentation for Natural
  Language Understanding
TreeMix: Compositional Constituency-based Data Augmentation for Natural Language Understanding
Le Zhang
Zichao Yang
Diyi Yang
36
24
0
12 May 2022
Contrastive Learning for Prompt-Based Few-Shot Language Learners
Contrastive Learning for Prompt-Based Few-Shot Language Learners
Yiren Jian
Chongyang Gao
Soroush Vosoughi
VLM
18
32
0
03 May 2022
Embedding Hallucination for Few-Shot Language Fine-tuning
Embedding Hallucination for Few-Shot Language Fine-tuning
Yiren Jian
Chongyang Gao
Soroush Vosoughi
23
4
0
03 May 2022
Previous
123456
Next