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SSMix: Saliency-Based Span Mixup for Text Classification

SSMix: Saliency-Based Span Mixup for Text Classification

15 June 2021
Soyoung Yoon
Gyuwan Kim
Kyumin Park
ArXiv (abs)PDFHTMLGithub (62★)

Papers citing "SSMix: Saliency-Based Span Mixup for Text Classification"

37 / 37 papers shown
Learning Without Augmenting: Unsupervised Time Series Representation Learning via Frame Projections
Learning Without Augmenting: Unsupervised Time Series Representation Learning via Frame Projections
B. U. Demirel
Christian Holz
AI4TSSSL
371
0
0
26 Oct 2025
LM-mixup: Text Data Augmentation via Language Model based Mixup
LM-mixup: Text Data Augmentation via Language Model based Mixup
Zhijie Deng
Zhouan Shen
Ling Li
Yao Zhou
Zhaowei Zhu
Yanji He
Wei Wang
Jiaheng Wei
145
0
0
23 Oct 2025
Scan-and-Print: Patch-level Data Summarization and Augmentation for Content-aware Layout Generation in Poster Design
Scan-and-Print: Patch-level Data Summarization and Augmentation for Content-aware Layout Generation in Poster DesignInternational Joint Conference on Artificial Intelligence (IJCAI), 2024
HsiaoYuan Hsu
Yuxin Peng
DiffM
285
2
0
27 May 2025
SMOTExT: SMOTE meets Large Language Models
SMOTExT: SMOTE meets Large Language Models
Mateusz Bystroński
Mikołaj Hołysz
Grzegorz Piotrowski
Nitesh Chawla
Tomasz Kajdanowicz
256
1
0
19 May 2025
ALVIN: Active Learning Via INterpolation
ALVIN: Active Learning Via INterpolationConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Michalis Korakakis
Andreas Vlachos
Adrian Weller
357
0
0
11 Oct 2024
A Comprehensive Survey on Data Augmentation
A Comprehensive Survey on Data AugmentationIEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Zaitian Wang
Pengfei Wang
Kunpeng Liu
Pengyang Wang
Yanjie Fu
Chang-Tien Lu
Charu Aggarwal
Jian Pei
Yuanchun Zhou
ViT
793
100
0
15 May 2024
Enhancing Effectiveness and Robustness in a Low-Resource Regime via
  Decision-Boundary-aware Data Augmentation
Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data AugmentationInternational Conference on Language Resources and Evaluation (LREC), 2024
Kyohoon Jin
Junho Lee
Juhwan Choi
Sangmin Song
Youngbin Kim
270
0
0
22 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
290
3
0
08 Feb 2024
PowMix: A Versatile Regularizer for Multimodal Sentiment Analysis
PowMix: A Versatile Regularizer for Multimodal Sentiment Analysis
Efthymios Georgiou
Yannis Avrithis
Alexandros Potamianos
198
1
0
19 Dec 2023
SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation
SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation
Hyun Ryu
Sunjae Yoon
Hee Suk Yoon
Eunseop Yoon
Changdong Yoo
AI4TS
378
9
0
10 Dec 2023
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series
  in Contrastive Learning
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive LearningNeural Information Processing Systems (NeurIPS), 2023
B. U. Demirel
Christian Holz
AI4TS
288
40
0
23 Sep 2023
AMPLIFY:Attention-based Mixup for Performance Improvement and Label
  Smoothing in Transformer
AMPLIFY:Attention-based Mixup for Performance Improvement and Label Smoothing in TransformerPeerJ Computer Science (PeerJ Comput. Sci.), 2023
Leixin Yang
Yu Xiang
481
3
0
22 Sep 2023
AttentionMix: Data augmentation method that relies on BERT attention
  mechanism
AttentionMix: Data augmentation method that relies on BERT attention mechanism
Dominik Lewy
Jacek Mańdziuk
312
4
0
20 Sep 2023
Data Augmentation for Conversational AI
Data Augmentation for Conversational AIInternational Conference on Information and Knowledge Management (CIKM), 2023
Heydar Soudani
Evangelos Kanoulas
Faegheh Hasibi
325
7
0
09 Sep 2023
Interdisciplinary Fairness in Imbalanced Research Proposal Topic
  Inference: A Hierarchical Transformer-based Method with Selective
  Interpolation
Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective InterpolationACM Transactions on Knowledge Discovery from Data (TKDD), 2023
Meng Xiao
Min-Ying Wu
Ziyue Qiao
Yanjie Fu
Zhiyuan Ning
Yi Du
Yuanchun Zhou
469
12
0
04 Sep 2023
Mixup-Augmented Meta-Learning for Sample-Efficient Fine-Tuning of
  Protein Simulators
Mixup-Augmented Meta-Learning for Sample-Efficient Fine-Tuning of Protein Simulators
Jingbang Chen
Yian Wang
Xingwei Qu
Shuangjia Zheng
Yao-Chun Yang
Hao Dong
Jie Fu
247
0
0
29 Aug 2023
MSMix:An Interpolation-Based Text Data Augmentation Method Manifold Swap
  Mixup
MSMix:An Interpolation-Based Text Data Augmentation Method Manifold Swap MixupSocial Science Research Network (SSRN), 2023
Mao Ye
Haitao Wang
Zheqian Chen
254
2
0
31 May 2023
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot
  Text Classification Tasks
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification TasksConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Haoqi Zheng
Qihuang Zhong
Liang Ding
Zhiliang Tian
Xin-Yi Niu
Dongsheng Li
Dacheng Tao
VLM
295
11
0
22 May 2023
SSVMR: Saliency-based Self-training for Video-Music Retrieval
SSVMR: Saliency-based Self-training for Video-Music RetrievalIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Xuxin Cheng
Zhihong Zhu
Hongxiang Li
Yaowei Li
Yuexian Zou
212
30
0
18 Feb 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods,
  Applications, and Explainability
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and ExplainabilityACM Computing Surveys (ACM CSUR), 2022
Chengtai Cao
Fan Zhou
Yurou Dai
Jianping Wang
Kunpeng Zhang
AAML
377
64
0
21 Dec 2022
SMSMix: Sense-Maintained Sentence Mixup for Word Sense Disambiguation
SMSMix: Sense-Maintained Sentence Mixup for Word Sense DisambiguationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Hee Suk Yoon
Eunseop Yoon
John Harvill
Sunjae Yoon
M. Hasegawa-Johnson
Chang D. Yoo
241
6
0
14 Dec 2022
Feature Weaken: Vicinal Data Augmentation for Classification
Feature Weaken: Vicinal Data Augmentation for Classification
Songhao Jiang
Yan Chu
Tian-Hui Ma
Tianning Zang
289
1
0
20 Nov 2022
On the Domain Adaptation and Generalization of Pretrained Language
  Models: A Survey
On the Domain Adaptation and Generalization of Pretrained Language Models: A Survey
Xu Guo
Han Yu
LM&MAVLM
377
38
0
06 Nov 2022
Beyond Instance Discrimination: Relation-aware Contrastive
  Self-supervised Learning
Beyond Instance Discrimination: Relation-aware Contrastive Self-supervised LearningIEEE transactions on multimedia (IEEE TMM), 2022
Yifei Zhang
Chang-rui Liu
Can Ma
Weiping Wang
QiXiang Ye
Xiangyang Ji
SSLISegBDL
260
10
0
02 Nov 2022
SelfMix: Robust Learning Against Textual Label Noise with Self-Mixup
  Training
SelfMix: Robust Learning Against Textual Label Noise with Self-Mixup TrainingInternational Conference on Computational Linguistics (COLING), 2022
Dan Qiao
Chenchen Dai
Yuyang Ding
Juntao Li
Qiang Chen
Wenliang Chen
Hao Fei
VLMNoLa
268
15
0
10 Oct 2022
MIXCODE: Enhancing Code Classification by Mixup-Based Data Augmentation
MIXCODE: Enhancing Code Classification by Mixup-Based Data AugmentationIEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER), 2022
Zeming Dong
Qiang Hu
Yuejun Guo
Maxime Cordy
Mike Papadakis
Zhenya Zhang
Yves Le Traon
Jianjun Zhao
365
13
0
06 Oct 2022
Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation
Improving the Sample Efficiency of Prompt Tuning with Domain AdaptationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Xu Guo
Boyang Albert Li
Han Yu
VLM
430
26
0
06 Oct 2022
On the Effectiveness of Hybrid Pooling in Mixup-Based Graph Learning for
  Language Processing
On the Effectiveness of Hybrid Pooling in Mixup-Based Graph Learning for Language ProcessingJournal of Systems and Software (JSS), 2022
Zeming Dong
Qiang Hu
Zhenya Zhang
Yuejun Guo
Maxime Cordy
Mike Papadakis
Yves Le Traon
Jianjun Zhao
347
5
0
06 Oct 2022
Hierarchical MixUp Multi-label Classification with Imbalanced Interdisciplinary Research Proposals
Meng Xiao
Minjie Wu
Ziyue Qiao
Zhiyuan Ning
Yi Du
Yanjie Fu
Yuanchun Zhou
343
3
0
28 Sep 2022
DoubleMix: Simple Interpolation-Based Data Augmentation for Text
  Classification
DoubleMix: Simple Interpolation-Based Data Augmentation for Text ClassificationInternational Conference on Computational Linguistics (COLING), 2022
Hui Chen
Wei Han
Diyi Yang
Soujanya Poria
204
16
0
12 Sep 2022
Make Acoustic and Visual Cues Matter: CH-SIMS v2.0 Dataset and AV-Mixup
  Consistent Module
Make Acoustic and Visual Cues Matter: CH-SIMS v2.0 Dataset and AV-Mixup Consistent ModuleInternational Conference on Multimodal Interaction (ICMI), 2022
Yih-Ling Liu
Ziqi Yuan
Huisheng Mao
Zhiyun Liang
Wanqiuyue Yang
Yuanzhe Qiu
Tie Cheng
Xiaoteng Li
Hua Xu
Kai Gao
289
90
0
22 Aug 2022
TreeMix: Compositional Constituency-based Data Augmentation for Natural
  Language Understanding
TreeMix: Compositional Constituency-based Data Augmentation for Natural Language UnderstandingNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Le Zhang
Zichao Yang
Diyi Yang
315
26
0
12 May 2022
On the Calibration of Pre-trained Language Models using Mixup Guided by
  Area Under the Margin and Saliency
On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and SaliencyAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Seohong Park
Cornelia Caragea
UQCV
284
44
0
14 Mar 2022
Geodesic Multi-Modal Mixup for Robust Fine-Tuning
Geodesic Multi-Modal Mixup for Robust Fine-TuningNeural Information Processing Systems (NeurIPS), 2022
Changdae Oh
Junhyuk So
Hoyoon Byun
Yongtaek Lim
Minchul Shin
Jong-June Jeon
Kyungwoo Song
519
43
0
08 Mar 2022
MixKG: Mixing for harder negative samples in knowledge graph
MixKG: Mixing for harder negative samples in knowledge graph
Feihu Che
Guohua Yang
Pengpeng Shao
Dawei Zhang
Jianhua Tao
244
6
0
19 Feb 2022
LINDA: Unsupervised Learning to Interpolate in Natural Language
  Processing
LINDA: Unsupervised Learning to Interpolate in Natural Language Processing
Yekyung Kim
Seohyeong Jeong
Dong Wang
220
8
0
28 Dec 2021
Consistency Training with Virtual Adversarial Discrete Perturbation
Consistency Training with Virtual Adversarial Discrete PerturbationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021
Jungsoo Park
Gyuwan Kim
Jaewoo Kang
226
15
0
15 Apr 2021
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