continual learning - Robuta Search

https://arxiv.org/abs/2204.13349v1

[2204.13349v1] Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor

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

continual learning bayesian model based

https://openreview.net/forum?id=uGjLwq102d&referrer=%5Bthe%20profile%20of%20Kyle%20Daruwalla%5D(%2Fprofile%3Fid%3D~Kyle_Daruwalla1)

Continual learning with the neural tangent ensemble | OpenReview

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 with the neural tangent ensemble

https://openreview.net/forum?id=5LQZZBqjPj

EVCL: Elastic Variational Continual Learning with Weight Consolidation | OpenReview

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

continual learning elastic variational weight consolidation

https://www.mdpi.com/2072-4292/14/3/485

Structural Attention Enhanced Continual Meta-Learning for Graph Edge Labeling Based Few-Shot Remote...

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...

meta learning structural attention enhanced continual

https://www.dlr.de/en/rm/media/videos/recall-rehearsal-free-continual-learning-for-object-classification-iros-2022

Video: RECALL: Rehearsal-free Continual Learning for Object Classification (IROS 2022)

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...

video recall continual learning object classification rehearsal free

https://www.easychair.org/publications/preprint/tXws

Continual Learning with Large Language Models: Adapting to Concept Drift and New Data Streams

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https://arxiv.org/abs/2201.01029

[2201.01029] Weakly-supervised continual learning for class-incremental segmentation

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

continual learning supervised class incremental segmentation

https://research.google/blog/introducing-nested-learning-a-new-ml-paradigm-for-continual-learning/?ref=blog.vyvojari.dev

Introducing Nested Learning: A new ML paradigm for continual learning

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https://parsed.com/research/write-small-learn-forever-rank-1-lora-for-continual-learning

Write small, learn forever: rank-1 LoRA for continual learning

Supercharge, interpret and evolve your AI systems.

continual learning write small forever rank

https://openreview.net/forum?id=nh9PdGkla9&referrer=%5Bthe%20profile%20of%20Chunyan%20Xu%5D(%2Fprofile%3Fid%3D~Chunyan_Xu3)

Few-shot Continual Infomax Learning | OpenReview

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...

shot continual infomax learning

https://openreview.net/forum?id=QW3hqWahkW_&referrer=%5Bthe%20profile%20of%20Anbo%20Dai%5D(%2Fprofile%3Fid%3D~Anbo_Dai1)

Big-model Driven Few-shot Continual Learning | OpenReview

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...

model driven continual learning big shot

https://arxiv.org/abs/2211.04770v1

[2211.04770v1] Continual learning autoencoder training for a particle-in-cell simulation via...

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

continual learning autoencoder training particle

https://tarajantzen.com/tag/continual-learning/

Continual Learning Archives | TARA JANTZEN | Content Studio

We transform your content and communications programs so they attract, connect, and engage customers.

continual learning archives tara jantzen content

https://mvpromedia.com/mvtec-introduces-new-deep-learning-feature-continual-learning-in-halcon-25-11/

MVTec introduces new Deep Learning feature "Continual Learning" in HALCON 25.11 - MVPro...

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

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