GitHub

train_sts_qqp_crossdomain.py

Three steps are followed for AugSBERT data-augmentation strategy with Domain Transfer / Cross-Domain - 1. Cross-Encoder aka BERT is trained over STSb (source) dataset. 2. Cross-Encoder is used to ...
IEEE

Regularization for Unconditional Image Diffusion Models via Shifted Data Augmentation

Abstract: Diffusion models are a powerful class of techniques in ML for generating realistic data, but they are highly prone to overfitting, especially with limited training data. While data ...
Frontiers

Data augmentation via diffusion model to enhance AI fairness

1 Prairie View A&M University, Electrical and Computer Engineering, Texas A&M University System, Prairie View, TX, United States 2 Texas Juvenile Crime Prevention Center, Prairie View A&M University, ...
IEEE

Neural TTS-Based Dynamic Data Augmentation for Improved Speech Separation

Abstract: Text-to-speech (TTS) synthetic data augmentation has been widely used in various speech processing tasks, but its effectiveness in speech separation remains understudied. In this paper, we ...
GitHub

ex-antigo/Inteligencia-Artificial-TextAttack

TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP. If you're looking for information about TextAttack's menagerie of pre-trained models, you might ...