An Effective Label Noise Model for DNN Text Classification

18 March 2019

Papers citing "An Effective Label Noise Model for DNN Text Classification"

22 / 22 papers shown

Title
CleaR: Towards Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Label Learning Yeachan Kim Junho Kim SangKeun Lee NoLa AAML 35 2 0 31 Oct 2024
Granular-ball Representation Learning for Deep CNN on Learning with Label Noise Dawei Dai Hao Zhu Shuyin Xia Guoyin Wang SSL 27 1 0 05 Sep 2024
NoisyAG-News: A Benchmark for Addressing Instance-Dependent Noise in Text Classification Hongfei Huang Tingting Liang Xixi Sun Zikang Jin Yuyu Yin NoLa 37 1 0 09 Jul 2024
Handling Realistic Label Noise in BERT Text Classification M. Agro Hanan Aldarmaki NoLa 11 3 0 23 May 2023
BERT on a Data Diet: Finding Important Examples by Gradient-Based Pruning Mohsen Fayyaz Ehsan Aghazadeh Ali Modarressi Mohammad Taher Pilehvar Yadollah Yaghoobzadeh Samira Ebrahimi Kahou 22 18 0 10 Nov 2022
SelfMix: Robust Learning Against Textual Label Noise with Self-Mixup Training Dan Qiao Chenchen Dai Yuyang Ding Juntao Li Qiang Chen Wenliang Chen M. Zhang VLM NoLa 34 8 0 10 Oct 2022
CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis Sadia Khanam Mohammad Reza Chalak Qazani S. Mondal H. M. D. Kabir Abadhan Saumya Sabyasachi ... K. Kumar Farzin Tabarsinezhad Shady M. K. Mohamed Abbas Khosravi Saeid Nahavandi 27 1 0 20 Sep 2022
Robust Product Classification with Instance-Dependent Noise Huy-Thanh Nguyen Devashish Khatwani NoLa 18 8 0 14 Sep 2022
Task-Adaptive Pre-Training for Boosting Learning With Noisy Labels: A Study on Text Classification for African Languages D. Zhu Michael A. Hedderich Fangzhou Zhai David Ifeoluwa Adelani Dietrich Klakow NoLa 32 0 0 03 Jun 2022
Context-based Virtual Adversarial Training for Text Classification with Noisy Labels Do-Myoung Lee Yeachan Kim Chang-gyun Seo NoLa 11 2 0 29 May 2022
Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification D. Zhu Michael A. Hedderich Fangzhou Zhai David Ifeoluwa Adelani Dietrich Klakow NoLa 25 32 0 20 Apr 2022
Clean or Annotate: How to Spend a Limited Data Collection Budget Derek Chen Zhou Yu Samuel R. Bowman 27 13 0 15 Oct 2021
Knowledge Distillation with Noisy Labels for Natural Language Understanding Shivendra Bhardwaj Abbas Ghaddar Ahmad Rashid Khalil Bibi Cheng-huan Li A. Ghodsi Philippe Langlais Mehdi Rezagholizadeh 19 1 0 21 Sep 2021
Training Dynamic based data filtering may not work for NLP datasets Arka Talukdar Monika Dagar Prachi Gupta Varun G. Menon NoLa 35 3 0 19 Sep 2021
CCMN: A General Framework for Learning with Class-Conditional Multi-Label Noise Ming-Kun Xie Sheng-Jun Huang NoLa 16 25 0 16 May 2021
Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction Ayaan Haque V. Reddi Tyler Giallanza NoLa 13 58 0 18 Feb 2021
Evaluating Multi-label Classifiers with Noisy Labels Wenting Zhao Carla P. Gomes NoLa 68 14 0 16 Feb 2021
Typing Errors in Factual Knowledge Graphs: Severity and Possible Ways Out Peiran Yao Denilson Barbosa 19 6 0 03 Feb 2021
Towards Robustness to Label Noise in Text Classification via Noise Modeling Siddhant Garg Goutham Ramakrishnan Varun Thumbe NoLa 8 20 0 27 Jan 2021
Hitachi at SemEval-2020 Task 12: Offensive Language Identification with Noisy Labels using Statistical Sampling and Post-Processing Manikandan Ravikiran Amin Ekant Muljibhai Toshinori Miyoshi Hiroaki Ozaki Yuta Koreeda Sakata Masayuki 11 7 0 01 May 2020
NoiseRank: Unsupervised Label Noise Reduction with Dependence Models Karishma Sharma Pinar E. Donmez Enming Luo Yan Liu I. Z. Yalniz NoLa 60 32 0 15 Mar 2020
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 250 13,360 0 25 Aug 2014