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A Deep Retrieval-Enhanced Meta-Learning Framework for Enzyme Optimum pH Prediction. [PDF]

open access: yesJ Chem Inf Model
Zhang L   +7 more
europepmc   +1 more source
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Swarm Meta Learning

2022
Swarm learning is a kind of decentralized machine learning. In this paper, we propose a new framework of decentralized collaborative learning, called swarm meta learning, by combining swarm learning with meta learning, blockchain, and federated learning.
Tian, Xiao   +2 more
openaire   +1 more source

Meta Learning With Graph Attention Networks for Low-Data Drug Discovery

IEEE Transactions on Neural Networks and Learning Systems, 2023
Finding candidate molecules with favorable pharmacological activity, low toxicity, and proper pharmacokinetic properties is an important task in drug discovery.
Qiujie Lv   +4 more
semanticscholar   +1 more source

Learning to Learn Better Unimodal Representations via Adaptive Multimodal Meta-Learning

IEEE Transactions on Affective Computing, 2023
Multimodal sentiment analysis is an emerging field of artificial intelligence. The most predominant approaches have made notable progress by designing sophisticated fusion architectures, exploring inter-modal interactions between modalities.
Ya Sun, Sijie Mai, Haifeng Hu
semanticscholar   +1 more source

MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning

Computer Vision and Pattern Recognition, 2022
In this paper, we tackle the problem of few-shot class incremental learning (FSCIL). FSCIL aims to incrementally learn new classes with only a few samples in each class. Most existing methods only consider the incremental steps at test time. The learning
Zhixiang Chi   +5 more
semanticscholar   +1 more source

Bi-Level Meta-Learning for Few-Shot Domain Generalization

Computer Vision and Pattern Recognition, 2023
The goal of few-shot learning is to learn the generalization from seen to unseen data with only a few samples. Most previous few-shot learning methods focus on learning the generalization within particular domains.
Xiaorong Qin   +2 more
semanticscholar   +1 more source

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