8 citations · 20 across the 6 of their papers we have counts for
6 papers
Vision Augmentation Prediction Autoencoder with Attention Design (VAPAAD)
Yiqiao Yin
Recent advancements in sequence prediction have significantly improved the accuracy of video data interpretation; however, existing models often overlook the potential of attention…
Green AI: Exploring Carbon Footprints, Mitigation Strategies, and Trade Offs in Large Language Model Training
Vivian Liu, Yiqiao Yin
Prominent works in the field of Natural Language Processing have long attempted to create new innovative models by improving upon previous model training approaches, altering model…
An Analysis of Embedding Layers and Similarity Scores using Siamese Neural Networks
Yash Bingi, Yiqiao Yin
Large Lanugage Models (LLMs) are gaining increasing popularity in a variety of use cases, from language understanding and writing to assistance in application development. One of t…
Language Semantics Interpretation with an Interaction-based Recurrent Neural Networks
Shaw-Hwa Lo, Yiqiao Yin
Text classification is a fundamental language task in Natural Language Processing. A variety of sequential models is capable making good predictions yet there is lack of connection…
An Interaction-based Convolutional Neural Network (ICNN) Towards Better Understanding of COVID-19 X-ray Images
Shaw-Hwa Lo, Yiqiao Yin
The field of Explainable Artificial Intelligence (XAI) aims to build explainable and interpretable machine learning (or deep learning) methods without sacrificing prediction perfor…
A Novel Interaction-based Methodology Towards Explainable AI with Better Understanding of Pneumonia Chest X-ray Images
Shaw-Hwa Lo, Yiqiao Yin
In the field of eXplainable AI (XAI), robust "blackbox" algorithms such as Convolutional Neural Networks (CNNs) are known for making high prediction performance. However, the abili…