A comprehensive survey on pretrained foundation models: A history from bert to chatgpt
Abstract Pretrained Foundation Models (PFMs) are regarded as the foundation for various
downstream tasks across different data modalities. A PFM (eg, BERT, ChatGPT, GPT-4) is …
downstream tasks across different data modalities. A PFM (eg, BERT, ChatGPT, 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 …
[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 …
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 …
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 …
[BOEK][B] Neural networks and deep learning
CC Aggarwal - 2018 - Springer
“Any AI smart enough to pass a Turing test is smart enough to know to fail it.”–*** Ian
McDonald Neural networks were developed to simulate the human nervous system for …
McDonald Neural networks were developed to simulate the human nervous system for …