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Recent advances of foundation language models-based continual learning: A survey
Recently, foundation language models (LMs) have marked significant achievements in the
domains of natural language processing and computer vision. Unlike traditional neural …
domains of natural language processing and computer vision. Unlike traditional neural …
[PDF][PDF] Recurrent concept drifts on data streams
In an era where machine learning permeates every facet of human existence, and data
evolves incessantly, the application of machine learning models transcends mere data …
evolves incessantly, the application of machine learning models transcends mere data …
Towards General Industrial Intelligence: A Survey on IIoT-Enhanced Continual Large Models
Currently, most applications in the Industrial Internet of Things (IIoT) still rely on CNN-based
neural networks. Although Transformer-based large models (LMs), including language …
neural networks. Although Transformer-based large models (LMs), including language …
State-space modeling in long sequence processing: A survey on recurrence in the transformer era
Effectively learning from sequential data is a longstanding goal of Artificial Intelligence,
especially in the case of long sequences. From the dawn of Machine Learning, several …
especially in the case of long sequences. From the dawn of Machine Learning, several …
Detecting evolving fraudulent behavior in online payment services: Open-category and concept-drift
The convenience offered by the Internet accelerates the evolution of fraudulent behavior
during facilitating the rapid development of online payment services. Fraudsters can change …
during facilitating the rapid development of online payment services. Fraudsters can change …
Managing the unknown: a survey on open set recognition and tangential areas
In real-world scenarios classification models are often required to perform robustly when
predicting samples belonging to classes that have not appeared during its training stage …
predicting samples belonging to classes that have not appeared during its training stage …
[HTML][HTML] Continual Learning for Time Series Forecasting: A First Survey
Q Besnard, N Ragot - Engineering Proceedings, 2024 - mdpi.com
Deep learning has brought significant advancements in the field of artificial intelligence,
particularly in robotics, imaging, sound processing, etc. However, a common major …
particularly in robotics, imaging, sound processing, etc. However, a common major …