Heat transfer performance prediction for heat pipe using deep learning based on wick type
Heat pipes are highly efficient heat transfer devices that have found widespread use in
various fields. However, accurately predicting their heat transfer performance under wide …
various fields. However, accurately predicting their heat transfer performance under wide …
A Comprehensive Survey on Data Augmentation
Data augmentation is a series of techniques that generate high-quality artificial data by
manipulating existing data samples. By leveraging data augmentation techniques, AI …
manipulating existing data samples. By leveraging data augmentation techniques, AI …
SAT: Improving semi-supervised text classification with simple instance-adaptive self-training
Self-training methods have been explored in recent years and have exhibited great
performance in improving semi-supervised learning. This work presents a Simple instance …
performance in improving semi-supervised learning. This work presents a Simple instance …
Image and Text: Fighting the Same Battle? Super-resolution Learning for Imbalanced Text Classification
R Meunier, F Benamara, V Moriceau… - 2023 Conference on …, 2023 - hal.science
In this paper, we propose SRL4NLP, a new approach for data augmentation by drawing an
analogy between image and text processing: Super-resolution learning. This method is …
analogy between image and text processing: Super-resolution learning. This method is …
PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot Learners
Recent advances in large pre-trained language models (PLMs) lead to impressive gains in
natural language understanding (NLU) tasks with task-specific fine-tuning. However, directly …
natural language understanding (NLU) tasks with task-specific fine-tuning. However, directly …
[HTML][HTML] Operating condition optimization of liquid metal heat pipe using deep learning based genetic algorithm: Heat transfer performance
Liquid metal heat pipes play a critical role in various high-temperature applications, with
their optimization being pivotal to achieving optimal thermal performance. In this study, a …
their optimization being pivotal to achieving optimal thermal performance. In this study, a …
Probabilistic interpolation with mixup data augmentation for text classification
R Xu, Y Zhang, K Ren, Y Huang, X Wei - International Conference on …, 2024 - Springer
Supervised deep learning models often confront the dilemma of insufficient training data,
where the Mixup method, as a unique data augmentation technique, addresses this issue of …
where the Mixup method, as a unique data augmentation technique, addresses this issue of …
Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation
Efforts to leverage deep learning models in low-resource regimes have led to numerous
augmentation studies. However, the direct application of methods such as mixup and cutout …
augmentation studies. However, the direct application of methods such as mixup and cutout …
Summarization-based Data Augmentation for Document Classification
Y Wang, N Yoshinaga - arxiv preprint arxiv:2312.00513, 2023 - arxiv.org
Despite the prevalence of pretrained language models in natural language understanding
tasks, understanding lengthy text such as document is still challenging due to the data …
tasks, understanding lengthy text such as document is still challenging due to the data …
Evaluation Metrics for Text Data Augmentation in NLP
M Amadeus, WAC Castañeda - arxiv preprint arxiv:2402.06766, 2024 - arxiv.org
Recent surveys on data augmentation for natural language processing have reported
different techniques and advancements in the field. Several frameworks, tools, and …
different techniques and advancements in the field. Several frameworks, tools, and …