MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification

25 April 2020

Jiaao Chen

Zichao Yang

Diyi Yang

VLM

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Papers citing "MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification"

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Title
The Efficiency of Pre-training with Objective Masking in Pseudo Labeling for Semi-Supervised Text Classification Arezoo Hatefi Xuan-Son Vu Monowar Bhuyan Frank Drewes VLM 32 0 0 10 May 2025
AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks Ilyas Oulkadda Julien Perez ALM 47 0 0 05 May 2025
TCProF: Time-Complexity Prediction SSL Framework Joonghyuk Hahn Hyeseon Ahn Jungin Kim Soohan Lim Yo-Sub Han 49 0 0 10 Feb 2025
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models Ran Xu Hejie Cui Yue Yu Xuan Kan Wenqi Shi Yuchen Zhuang Wei Jin Joyce C. Ho Carl Yang 69 14 0 28 Jan 2025
LH-Mix: Local Hierarchy Correlation Guided Mixup over Hierarchical Prompt Tuning Fanshuang Kong Richong Zhang Ziqiao Wang 75 0 0 22 Dec 2024
Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation Yiming Wang Pei Zhang Baosong Yang Derek F. Wong Rui-cang Wang LRM 50 4 0 17 Oct 2024
SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe Yuxin Xiao Shujian Zhang Wenxuan Zhou Marzyeh Ghassemi Sanqiang Zhao 109 0 0 07 Oct 2024
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification Guanyi Mou Yichuan Li Kyumin Lee 36 3 0 26 Sep 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond Lecheng Zheng Baoyu Jing Zihao Li Hanghang Tong Jingrui He VLM 38 19 0 30 Mar 2024
RobustGEC: Robust Grammatical Error Correction Against Subtle Context Perturbation Yue Zhang Leyang Cui Enbo Zhao Wei Bi Shuming Shi 38 6 0 11 Oct 2023
AMPLIFY:Attention-based Mixup for Performance Improvement and Label Smoothing in Transformer Leixin Yang Yu Xiang 28 0 0 22 Sep 2023
Semi-supervised Relation Extraction via Data Augmentation and Consistency-training Komal K. Teru 35 5 0 16 Jun 2023
R-Mixup: Riemannian Mixup for Biological Networks Xuan Kan Zimu Li Hejie Cui Yue Yu Ran Xu Shaojun Yu Zilong Zhang Ying Guo Carl Yang 35 6 0 05 Jun 2023
Entailment as Robust Self-Learner Jiaxin Ge Hongyin Luo Yoon Kim James R. Glass 42 3 0 26 May 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 37 6 0 22 May 2023
Rethinking Semi-supervised Learning with Language Models Zhengxiang Shi Francesco Tonolini Nikolaos Aletras Emine Yilmaz G. Kazai Yunlong Jiao 32 18 0 22 May 2023
Unsupervised Sentence Representation Learning with Frequency-induced Adversarial Tuning and Incomplete Sentence Filtering Bing Wang Ximing Li Zhiyao Yang Yuanyuan Guan Jiayin Li Sheng-sheng Wang 32 6 0 15 May 2023
Exploring Data Augmentation Methods on Social Media Corpora Isabel Garcia Pietri Kineret Stanley 33 0 0 03 Mar 2023
Data Augmentation for Neural NLP Domagoj Pluscec Jan Snajder 16 6 0 22 Feb 2023
Scalable Prompt Generation for Semi-supervised Learning with Language Models Yuhang Zhou Suraj Maharjan Bei Liu VLM 34 13 0 18 Feb 2023
Uncertainty-aware Self-training for Low-resource Neural Sequence Labeling J. Wang Chengyu Wang Jun Huang Ming Gao Aoying Zhou BDL UQLM NoLa 42 4 0 17 Feb 2023
AutoWS: Automated Weak Supervision Framework for Text Classification Abhinav Bohra Huy-Thanh Nguyen Devashish Khatwani NoLa 24 0 0 07 Feb 2023
Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective Jongwoo Ko Seungjoon Park Minchan Jeong S. Hong Euijai Ahn Duhyeuk Chang Se-Young Yun 23 6 0 03 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 24 28 0 21 Dec 2022
On-the-fly Denoising for Data Augmentation in Natural Language Understanding Tianqing Fang Wenxuan Zhou Fangyu Liu Hongming Zhang Yangqiu Song Muhao Chen 41 1 0 20 Dec 2022
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 51 46 0 06 Nov 2022
Learning New Tasks from a Few Examples with Soft-Label Prototypes Avyav Kumar Singh Ekaterina Shutova H. Yannakoudakis VLM 27 0 0 31 Oct 2022
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 34 5 0 21 Oct 2022
AugCSE: Contrastive Sentence Embedding with Diverse Augmentations Zilu Tang Muhammed Yusuf Kocyigit Derry Wijaya 35 8 0 20 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 31 8 0 06 Oct 2022
Learning functional sections in medical conversations: iterative pseudo-labeling and human-in-the-loop approach Mengqian Wang Ilya Valmianski X. Amatriain Anitha Kannan 26 2 0 06 Oct 2022
Few-shot Text Classification with Dual Contrastive Consistency Liwen Sun Jiawei Han 21 0 0 29 Sep 2022
DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification Hui Chen Wei Han Diyi Yang Soujanya Poria 15 12 0 12 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 29 44 0 22 Aug 2022
SpanDrop: Simple and Effective Counterfactual Learning for Long Sequences Peng Qi Guangtao Wang Jing Huang 24 0 0 03 Aug 2022
Robustness Analysis of Video-Language Models Against Visual and Language Perturbations Madeline Chantry Schiappa Shruti Vyas Hamid Palangi Y. S. Rawat Vibhav Vineet VLM 120 17 0 05 Jul 2022
PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot Learners Canyu Chen Kai Shu VLM 31 8 0 18 May 2022
TreeMix: Compositional Constituency-based Data Augmentation for Natural Language Understanding Le Zhang Zichao Yang Diyi Yang 36 24 0 12 May 2022
MixAugment & Mixup: Augmentation Methods for Facial Expression Recognition Andreas Psaroudakis D. Kollias 21 37 0 09 May 2022
A Data Cartography based MixUp for Pre-trained Language Models Seohong Park Cornelia Caragea 11 6 0 06 May 2022
EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification Minyi Zhao Lu Zhang Yi Xu Jiandong Ding Jihong Guan Shuigeng Zhou VLM 41 10 0 24 Apr 2022
ME-GCN: Multi-dimensional Edge-Embedded Graph Convolutional Networks for Semi-supervised Text Classification Kunze Wang S. Han Siqu Long Josiah Poon 18 20 0 10 Apr 2022
Fact Checking with Insufficient Evidence Pepa Atanasova J. Simonsen Christina Lioma Isabelle Augenstein 37 14 0 05 Apr 2022
Continual Sequence Generation with Adaptive Compositional Modules Yanzhe Zhang Xuezhi Wang Diyi Yang KELM CLL 41 41 0 20 Mar 2022
STEMM: Self-learning with Speech-text Manifold Mixup for Speech Translation Qingkai Fang Rong Ye Lei Li Yang Feng Mingxuan Wang 26 95 0 20 Mar 2022
A Semi-supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues Qian Lin Hwee Tou Ng 22 4 0 22 Feb 2022
MixKG: Mixing for harder negative samples in knowledge graph Feihu Che Guohua Yang Pengpeng Shao Dawei Zhang J. Tao 31 6 0 19 Feb 2022
ALP: Data Augmentation using Lexicalized PCFGs for Few-Shot Text Classification Hazel Kim Daecheol Woo Seong Joon Oh Jeong-Won Cha Yo-Sub Han 317 33 0 16 Dec 2021
Measure and Improve Robustness in NLP Models: A Survey Xuezhi Wang Haohan Wang Diyi Yang 139 130 0 15 Dec 2021
To Augment or Not to Augment? A Comparative Study on Text Augmentation Techniques for Low-Resource NLP Gözde Gül Sahin 40 33 0 18 Nov 2021