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

25 April 2020

Jiaao Chen

Zichao Yang

Diyi Yang

VLM

ArXiv PDF HTML

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

49 / 49 papers shown

Title
TCProF: Time-Complexity Prediction SSL Framework Joonghyuk Hahn Hyeseon Ahn Jungin Kim Soohan Lim Yo-Sub Han 37 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 64 12 0 28 Jan 2025
Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation Yiming Wang Pei Zhang Baosong Yang Derek F. Wong Rui-cang Wang LRM 40 4 0 17 Oct 2024
SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe Yuxin Xiao Shujian Zhang Wenxuan Zhou Marzyeh Ghassemi Sanqiang Zhao 61 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 26 3 0 26 Sep 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond Lecheng Zheng Baoyu Jing Zihao Li Hanghang Tong Jingrui He VLM 24 19 0 30 Mar 2024
AMPLIFY:Attention-based Mixup for Performance Improvement and Label Smoothing in Transformer Leixin Yang Yu Xiang 19 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 25 6 0 05 Jun 2023
Entailment as Robust Self-Learner Jiaxin Ge Hongyin Luo Yoon Kim James R. Glass 25 3 0 26 May 2023
Rethinking Semi-supervised Learning with Language Models Zhengxiang Shi Francesco Tonolini Nikolaos Aletras Emine Yilmaz G. Kazai Yunlong Jiao 15 17 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 20 6 0 15 May 2023
Exploring Data Augmentation Methods on Social Media Corpora Isabel Garcia Pietri Kineret Stanley 23 0 0 03 Mar 2023
Data Augmentation for Neural NLP Domagoj Pluscec Jan Snajder 6 6 0 22 Feb 2023
Scalable Prompt Generation for Semi-supervised Learning with Language Models Yuhang Zhou Suraj Maharjan Bei Liu VLM 16 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 32 4 0 17 Feb 2023
AutoWS: Automated Weak Supervision Framework for Text Classification Abhinav Bohra Huy-Thanh Nguyen Devashish Khatwani NoLa 17 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 21 6 0 03 Feb 2023
On-the-fly Denoising for Data Augmentation in Natural Language Understanding Tianqing Fang Wenxuan Zhou Fangyu Liu Hongming Zhang Yangqiu Song Muhao Chen 31 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 39 46 0 06 Nov 2022
AugCSE: Contrastive Sentence Embedding with Diverse Augmentations Zilu Tang Muhammed Yusuf Kocyigit Derry Wijaya 18 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 18 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 18 2 0 06 Oct 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 24 44 0 22 Aug 2022
SpanDrop: Simple and Effective Counterfactual Learning for Long Sequences Peng Qi Guangtao Wang Jing Huang 8 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 114 17 0 05 Jul 2022
TreeMix: Compositional Constituency-based Data Augmentation for Natural Language Understanding Le Zhang Zichao Yang Diyi Yang 26 24 0 12 May 2022
MixAugment & Mixup: Augmentation Methods for Facial Expression Recognition Andreas Psaroudakis D. Kollias 14 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
Fact Checking with Insufficient Evidence Pepa Atanasova J. Simonsen Christina Lioma Isabelle Augenstein 22 14 0 05 Apr 2022
Continual Sequence Generation with Adaptive Compositional Modules Yanzhe Zhang Xuezhi Wang Diyi Yang KELM CLL 30 40 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 22 95 0 20 Mar 2022
A Semi-supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues Qian Lin Hwee Tou Ng 13 4 0 22 Feb 2022
MixKG: Mixing for harder negative samples in knowledge graph Feihu Che Guohua Yang Pengpeng Shao Dawei Zhang J. Tao 23 6 0 19 Feb 2022
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 25 33 0 18 Nov 2021
Learning Bill Similarity with Annotated and Augmented Corpora of Bills Jiseon Kim Elden Griggs In Song Kim Alice H. Oh AILaw 18 5 0 14 Sep 2021
Good-Enough Example Extrapolation Jason W. Wei 19 5 0 12 Sep 2021
Counterfactual Adversarial Learning with Representation Interpolation Wen Wang Boxin Wang Ning Shi Jinfeng Li Bingyu Zhu Xiangyu Liu Rongxin Zhang AAML OOD CML 14 2 0 10 Sep 2021
Efficient Contrastive Learning via Novel Data Augmentation and Curriculum Learning Seonghyeon Ye Jiseon Kim Alice H. Oh CLL VLM 24 21 0 10 Sep 2021
Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems Fei Mi Wanhao Zhou Feng Cai Lingjing Kong Minlie Huang Boi Faltings 27 32 0 28 Aug 2021
Survey: Image Mixing and Deleting for Data Augmentation Humza Naveed Saeed Anwar Munawar Hayat Kashif Javed Ajmal Mian 26 76 0 13 Jun 2021
Out-of-Manifold Regularization in Contextual Embedding Space for Text Classification Seonghyeon Lee Dongha Lee Hwanjo Yu 16 4 0 14 May 2021
A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives Nils Rethmeier Isabelle Augenstein SSL VLM 64 90 0 25 Feb 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,913 0 31 Dec 2020
Text Classification Using Label Names Only: A Language Model Self-Training Approach Yu Meng Yunyi Zhang Jiaxin Huang Chenyan Xiong Heng Ji Chao Zhang Jiawei Han VLM 40 75 0 14 Oct 2020
Controlling the Interaction Between Generation and Inference in Semi-Supervised Variational Autoencoders Using Importance Weighting G. Felhi Joseph Leroux Djamé Seddah BDL 16 1 0 13 Oct 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,584 0 21 Jan 2020
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 244 1,276 0 06 Mar 2017