Learning Data Manipulation for Augmentation and Weighting

28 October 2019

Papers citing "Learning Data Manipulation for Augmentation and Weighting"

23 / 23 papers shown

Title
Not All LLM-Generated Data Are Equal: Rethinking Data Weighting in Text Classification Hsun-Yu Kuo Yin-Hsiang Liao Yu-Chieh Chao Wei-Yun Ma Pu-Jen Cheng SyDa 53 2 0 28 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
AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimes Juhwan Choi Kyohoon Jin Junho Lee Sangmin Song Youngbin Kim 24 1 0 08 Feb 2024
Fine-tune Language Models to Approximate Unbiased In-context Learning Timothy Chu Zhao Song Chiwun Yang 27 15 0 05 Oct 2023
How to choose "Good" Samples for Text Data Augmentation Xiaotian Lin Nankai Lin Yingwen Fu Ziyu Yang Shengyi Jiang 40 2 0 02 Feb 2023
Class-Level Logit Perturbation Mengyang Li Fengguang Su O. Wu Tianjin University AAML 31 3 0 13 Sep 2022
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification D. Guo Zhuo Li Meixi Zheng He Zhao Mingyuan Zhou H. Zha 40 24 0 05 Aug 2022
Gradient-based Bi-level Optimization for Deep Learning: A Survey Can Chen Xiangshan Chen Chen Ma Zixuan Liu Xue Liu 94 35 0 24 Jul 2022
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks Z. Yang Richard Sinnott James Bailey Qiuhong Ke 26 39 0 14 Jun 2022
Poisoning Attacks and Defenses on Artificial Intelligence: A Survey M. A. Ramírez Song-Kyoo Kim H. A. Hamadi Ernesto Damiani Young-Ji Byon Tae-Yeon Kim C. Cho C. Yeun AAML 25 37 0 21 Feb 2022
Generalized Data Weighting via Class-level Gradient Manipulation Can Chen Shuhao Zheng Xi Chen Erqun Dong Xue Liu Hao Liu Dejing Dou 32 24 0 29 Oct 2021
Data Augmentation Approaches in Natural Language Processing: A Survey Bohan Li Yutai Hou Wanxiang Che 130 271 0 05 Oct 2021
Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification Shuhuai Ren Jinchao Zhang Lei Li Xu Sun Jie Zhou 38 31 0 01 Sep 2021
AEDA: An Easier Data Augmentation Technique for Text Classification Akbar Karimi L. Rossi Andrea Prati 32 151 0 30 Aug 2021
Toward a `Standard Model' of Machine Learning Zhiting Hu Eric P. Xing 37 12 0 17 Aug 2021
A Survey on Data Augmentation for Text Classification Markus Bayer M. Kaufhold Christian A. Reuter 36 334 0 07 Jul 2021
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP Jiaao Chen Derek Tam Colin Raffel Joey Tianyi Zhou Diyi Yang 28 172 0 14 Jun 2021
A Survey of Data Augmentation Approaches for NLP Steven Y. Feng Varun Gangal Jason W. Wei Sarath Chandar Soroush Vosoughi Teruko Mitamura Eduard H. Hovy AIMat 39 799 0 07 May 2021
Data Augmentation in Natural Language Processing: A Novel Text Generation Approach for Long and Short Text Classifiers Markus Bayer M. Kaufhold Björn Buchhold Marcel Keller J. Dallmeyer Christian A. Reuter 23 113 0 26 Mar 2021
Learning to Augment for Data-Scarce Domain BERT Knowledge Distillation Lingyun Feng Minghui Qiu Yaliang Li Haitao Zheng Ying Shen 40 10 0 20 Jan 2021
Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning Riccardo Volpi Diane Larlus Grégory Rogez VLM OOD CLL 22 74 0 08 Dec 2020
Time Series Data Augmentation for Deep Learning: A Survey Qingsong Wen Liang Sun Fan Yang Xiaomin Song Jing Gao Xue Wang Huan Xu AI4TS 32 635 0 27 Feb 2020
Good-Enough Compositional Data Augmentation Jacob Andreas 30 230 0 21 Apr 2019