A comprehensive survey on pretrained foundation models: A history from bert to chatgpt
Pretrained Foundation Models (PFMs) are regarded as the foundation for various
downstream tasks with different data modalities. A PFM (eg, BERT, ChatGPT, and GPT-4) is …
downstream tasks with different data modalities. A PFM (eg, BERT, ChatGPT, and GPT-4) is …
Understanding LSTM--a tutorial into long short-term memory recurrent neural networks
RC Staudemeyer, ER Morris - arXiv preprint arXiv:1909.09586, 2019 - arxiv.org
Long Short-Term Memory Recurrent Neural Networks (LSTM-RNN) are one of the most
powerful dynamic classifiers publicly known. The network itself and the related learning …
powerful dynamic classifiers publicly known. The network itself and the related learning …
Memory-based model editing at scale
Even the largest neural networks make errors, and once-correct predictions can become
invalid as the world changes. Model editors make local updates to the behavior of base (pre …
invalid as the world changes. Model editors make local updates to the behavior of base (pre …
Read like humans: Autonomous, bidirectional and iterative language modeling for scene text recognition
Linguistic knowledge is of great benefit to scene text recognition. However, how to effectively
model linguistic rules in end-to-end deep networks remains a research challenge. In this …
model linguistic rules in end-to-end deep networks remains a research challenge. In this …
[PDF][PDF] 神经网络七十年: 回顾与展望
焦李成， 杨淑媛， 刘芳， 王士刚， 冯志玺 - 计算机学报, 2016 - cjc.ict.ac.cn
Hodykin-Huxley 方程, 感知器模型与自适应滤波器, 再到六十年代的自组织映射网络,
神经认知机, 自适应共振网络, 许多神经计算模型都发展成为信号处理, 计算机视觉 …
神经认知机, 自适应共振网络, 许多神经计算模型都发展成为信号处理, 计算机视觉 …
MaxDIA enables library-based and library-free data-independent acquisition proteomics
MaxDIA is a software platform for analyzing data-independent acquisition (DIA) proteomics
data within the MaxQuant software environment. Using spectral libraries, MaxDIA achieves …
data within the MaxQuant software environment. Using spectral libraries, MaxDIA achieves …
[HTML][HTML] Short-term photovoltaic power forecasting using meta-learning and numerical weather prediction independent Long Short-Term Memory models
Short-term photovoltaic (PV) power forecasting is essential for integrating renewable energy
sources into the grid as it provides accurate and timely information on the expected output of …
sources into the grid as it provides accurate and timely information on the expected output of …
Handwritten optical character recognition (OCR): A comprehensive systematic literature review (SLR)
Given the ubiquity of handwritten documents in human transactions, Optical Character
Recognition (OCR) of documents have invaluable practical worth. Optical character …
Recognition (OCR) of documents have invaluable practical worth. Optical character …
A dual-LSTM framework combining change point detection and remaining useful life prediction
Abstract Remaining Useful Life (RUL) prediction is a key task of Condition-based
Maintenance (CBM). The massive data collected from multiple sensors enables monitoring …
Maintenance (CBM). The massive data collected from multiple sensors enables monitoring …
What is wrong with scene text recognition model comparisons? dataset and model analysis
Many new proposals for scene text recognition (STR) models have been introduced in
recent years. While each claim to have pushed the boundary of the technology, a holistic …
recent years. While each claim to have pushed the boundary of the technology, a holistic …