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Abstract page for arXiv paper 2204.13349v1: Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor

Bitcoin mining operations are finding profitable ways to power up and down intermittently to match their energy sources.

“How many creatures walking on this earth / Have their first being in another form?” the Roman poet Ovid asked two thousand years ago. He couldn’t have...

A natural strategy for continual learning is to weigh a Bayesian ensemble of fixed functions. This suggests that if a (single) neural network could be...

Continual learning aims to allow models to learn new tasks without forgetting what has been learned before. This work introduces Elastic Variational Continual...

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Scene classification is one of the fundamental techniques shared by many basic remote sensing tasks with a wide range of applications. As the demands of...

RECALL is a new approach for lifelong robot learning or continual learning. This work's paper was published at the IEEE International Conference on Intelligent...

Abstract page for arXiv paper 2512.07981: CIP-Net: Continual Interpretable Prototype-based Network

Continual Test-Time Adaptation (CTTA) seeks to adapt source pre-trained models to continually changing, unseen target domains. While existing CTTA methods...

XXX BULE [aoi Shirasaki] Continuous Vaginal Cum Shot (part3)

/PRNewswire/ -- Hanergy Thin Film Power Group Limited (HK Stock Code: 0566, Hanergy TFP), today (March 29) released its annual results for the 2018 fiscal...

Abstract page for arXiv paper 2201.01029: Weakly-supervised continual learning for class-incremental segmentation

Abstract page for arXiv paper 2504.05214: Post-Training Language Models for Continual Relation Extraction

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Robust training methods typically defend against specific attack types, such as $\ell_p$ attacks with fixed budgets, and rarely account for the fact that...

Few-shot continual learning is the ability to continually train a neural network from a sequential stream of fewshot data. In this paper, we propose a Few-shot...

Few-shot continual learning (FSCL) has attracted intensive attention and achieved some advances in recent years, but now it is difficult to again make a big...

Abstract page for arXiv paper 2211.04770v1: Continual learning autoencoder training for a particle-in-cell simulation via streaming

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This paper is focused on investigation of three developed prototypes of sensors based on the photoplethysmography (PPG) principle for continual measurement of...

Because of the continual headaches it was seldom possible for me to enjoy a deep and restful sleep.

This chapter consists of two parts: 1. The former, which occupies the first ten sections, divides all the works of God into two great classes, and elucidates...

Thoughtworks Retail recently hosted a dinner in New York City for top retail executives in the local market. Our guests included a mix of IT, Digital, eComm...

Nov 19, 2025 - MVTec Software GmbH has developed a new deep learning feature that enables flexible adaptation to changing production environments. Continual Learning