Augmenting Data with Mixup for Sentence Classification: An Empirical Study

22 May 2019

Papers citing "Augmenting Data with Mixup for Sentence Classification: An Empirical Study"

49 / 49 papers shown

Title
A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection Seyed Shayan Daneshvar Da Tan Shaowei Wang Carson Leung AAML 74 0 0 22 Apr 2025
Mixup Regularization: A Probabilistic Perspective Yousef El-Laham Niccolò Dalmasso Svitlana Vyetrenko Vamsi K. Potluru Manuela Veloso 58 0 0 20 Feb 2025
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation Xiangjin Xie Yiran Chen Ruipeng Wang Kai Ouyang Zihan Zhang ... Buyue Qian Hansen Zheng Bo Hu Chengxiang Zhuo Zang Li 74 3 0 12 Feb 2025
LH-Mix: Local Hierarchy Correlation Guided Mixup over Hierarchical Prompt Tuning Fanshuang Kong Richong Zhang Ziqiao Wang 80 0 0 22 Dec 2024
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification Guanyi Mou Yichuan Li Kyumin Lee 43 3 0 26 Sep 2024
A Comprehensive Survey on Data Augmentation Zaitian Wang Pengfei Wang Kunpeng Liu Pengyang Wang Yanjie Fu Chang-Tien Lu Charu Aggarwal Jian Pei Yuanchun Zhou ViT 111 23 0 15 May 2024
AMPLIFY:Attention-based Mixup for Performance Improvement and Label Smoothing in Transformer Leixin Yang Yu Xiang 31 0 0 22 Sep 2023
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks Haoqi Zheng Qihuang Zhong Liang Ding Zhiliang Tian Xin-Yi Niu Dongsheng Li Dacheng Tao VLM 56 6 0 22 May 2023
CoSDA: Continual Source-Free Domain Adaptation H. Feng Zhaorui Yang He-Tuo Chen Tianyu Pang Chao Du Minfeng Zhu Wei Chen Shuicheng Yan CLL TTA 37 3 0 13 Apr 2023
Over-training with Mixup May Hurt Generalization Zixuan Liu Ziqiao Wang Hongyu Guo Yongyi Mao NoLa 36 11 0 02 Mar 2023
Data Augmentation for Neural NLP Domagoj Pluscec Jan Snajder 36 6 0 22 Feb 2023
Bag of Tricks for In-Distribution Calibration of Pretrained Transformers Jaeyoung Kim Dongbin Na Sungchul Choi Sungbin Lim VLM 43 5 0 13 Feb 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 31 28 0 21 Dec 2022
Learning with Silver Standard Data for Zero-shot Relation Extraction Tianyi Wang Jianwei Wang Ziqian Zeng 34 2 0 25 Nov 2022
GraphMAD: Graph Mixup for Data Augmentation using Data-Driven Convex Clustering Madeline Navarro Santiago Segarra 43 7 0 27 Oct 2022
MIXCODE: Enhancing Code Classification by Mixup-Based Data Augmentation Zeming Dong Qiang Hu Yuejun Guo Maxime Cordy Mike Papadakis Zhenya Zhang Yves Le Traon Jianjun Zhao 38 8 0 06 Oct 2022
Selective Text Augmentation with Word Roles for Low-Resource Text Classification Biyang Guo Songqiao Han Hailiang Huang 35 9 0 04 Sep 2022
Make Acoustic and Visual Cues Matter: CH-SIMS v2.0 Dataset and AV-Mixup Consistent Module Yih-Ling Liu Ziqi Yuan Huisheng Mao Zhiyun Liang Wanqiuyue Yang Yuanzhe Qiu Tie Cheng Xiaoteng Li Hua Xu Kai Gao 36 44 0 22 Aug 2022
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective Chanwoo Park Sangdoo Yun Sanghyuk Chun AAML 23 32 0 21 Aug 2022
SpanDrop: Simple and Effective Counterfactual Learning for Long Sequences Peng Qi Guangtao Wang Jing Huang 24 0 0 03 Aug 2022
Mixed Graph Contrastive Network for Semi-Supervised Node Classification Xihong Yang Yue Liu Sihang Zhou Xinwang Liu En Zhu Sihang Zhou Xinwang Liu En Zhu SSL 45 26 0 06 Jun 2022
PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot Learners Canyu Chen Kai Shu VLM 36 8 0 18 May 2022
TreeMix: Compositional Constituency-based Data Augmentation for Natural Language Understanding Le Zhang Zichao Yang Diyi Yang 40 24 0 12 May 2022
MixAugment & Mixup: Augmentation Methods for Facial Expression Recognition Andreas Psaroudakis D. Kollias 28 37 0 09 May 2022
Robust Self-Augmentation for Named Entity Recognition with Meta Reweighting Linzhi Wu Pengjun Xie Jie Zhou Meishan Zhang Chunping Ma Guangwei Xu Min Zhang 42 21 0 25 Apr 2022
A Model-Agnostic Data Manipulation Method for Persona-based Dialogue Generation Yu Cao Wei Bi Meng Fang Shuming Shi Dacheng Tao 37 48 0 21 Apr 2022
DAGAM: Data Augmentation with Generation And Modification Byeong-Cheol Jo Tak-Sung Heo Yeongjoon Park Yongmin Yoo Won-Ik Cho Kyungsun Kim VLM 31 2 0 06 Apr 2022
Interpolation-based Contrastive Learning for Few-Label Semi-Supervised Learning Xihong Yang Xiaochang Hu Sihang Zhou Xinwang Liu En Zhu SSL 213 43 0 24 Feb 2022
Contrastive Vision-Language Pre-training with Limited Resources Quan Cui Boyan Zhou Yu Guo Weidong Yin Hao Wu Osamu Yoshie Yubo Chen VLM CLIP 19 33 0 17 Dec 2021
To Augment or Not to Augment? A Comparative Study on Text Augmentation Techniques for Low-Resource NLP Gözde Gül Sahin 44 33 0 18 Nov 2021
Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation Joonhyung Park Hajin Shim Eunho Yang 79 49 0 10 Nov 2021
Data Augmentation Approaches in Natural Language Processing: A Survey Bohan Li Yutai Hou Wanxiang Che 132 274 0 05 Oct 2021
Influence-guided Data Augmentation for Neural Tensor Completion Sejoon Oh Sungchul Kim Ryan A. Rossi Srijan Kumar 28 10 0 23 Aug 2021
A Survey on Data Augmentation for Text Classification Markus Bayer M. Kaufhold Christian A. Reuter 57 336 0 07 Jul 2021
FedMix: Approximation of Mixup under Mean Augmented Federated Learning Tehrim Yoon Sumin Shin Sung Ju Hwang Eunho Yang FedML 38 166 0 01 Jul 2021
SSMix: Saliency-Based Span Mixup for Text Classification Soyoung Yoon Gyuwan Kim Kyumin Park 27 69 0 15 Jun 2021
Survey: Image Mixing and Deleting for Data Augmentation Humza Naveed Saeed Anwar Munawar Hayat Kashif Javed Ajmal Mian 45 78 0 13 Jun 2021
Connecting Language and Vision for Natural Language-Based Vehicle Retrieval Shuai Bai Zhedong Zheng Xiaohan Wang Junyang Lin Zhu Zhang Chang Zhou Yi Yang Hongxia Yang 24 27 0 31 May 2021
Out-of-Manifold Regularization in Contextual Embedding Space for Text Classification Seonghyeon Lee Dongha Lee Hwanjo Yu 24 4 0 14 May 2021
Data Augmentation in a Hybrid Approach for Aspect-Based Sentiment Analysis Tomas Liesting Flavius Frasincar Maria Mihaela Truşcǎ 21 30 0 29 Mar 2021
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss Mingyang Yi Lu Hou Lifeng Shang Xin Jiang Qun Liu Zhi-Ming Ma 14 19 0 16 Mar 2021
MixSpeech: Data Augmentation for Low-resource Automatic Speech Recognition Linghui Meng Jin Xu Xu Tan Jindong Wang Tao Qin Bo Xu VLM 66 77 0 25 Feb 2021
Deep Epidemiological Modeling by Black-box Knowledge Distillation: An Accurate Deep Learning Model for COVID-19 Dongdong Wang Shunpu Zhang Liqiang Wang 11 12 0 20 Jan 2021
Towards Domain-Agnostic Contrastive Learning Vikas Verma Minh-Thang Luong Kenji Kawaguchi Hieu H. Pham Quoc V. Le SSL 15 116 0 09 Nov 2020
MixKD: Towards Efficient Distillation of Large-scale Language Models Kevin J. Liang Weituo Hao Dinghan Shen Yufan Zhou Weizhu Chen Changyou Chen Lawrence Carin 21 73 0 01 Nov 2020
Combining Ensembles and Data Augmentation can Harm your Calibration Yeming Wen Ghassen Jerfel Rafael Muller Michael W. Dusenberry Jasper Snoek Balaji Lakshminarayanan Dustin Tran UQCV 32 63 0 19 Oct 2020
Learning Knowledge Bases with Parameters for Task-Oriented Dialogue Systems Andrea Madotto Samuel Cahyawijaya Genta Indra Winata Yan Xu Zihan Liu Zhaojiang Lin Pascale Fung 44 59 0 28 Sep 2020
A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification Varun Kumar Hadrien Glaude Cyprien de Lichy William Campbell 26 83 0 09 Oct 2019
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 312 13,377 0 25 Aug 2014