Results 61 to 70 of about 28,763 (261)
Proxy Network for Few Shot Learning
CoRR, 2020 The use of a few examples for each class to train a predictive model that can be generalized to novel classes is a crucial and valuable research direction in artificial intelligence. This work addresses this problem by proposing a few-shot learning (FSL) algorithm called proxy network under the architecture of meta-learning.
Bin Xiao 0008 +2 more
openaire +3 more sources
Few-Shot Learning for Biometric Verification
CoRR, 2022 In machine learning applications, it is common practice to feed as much information as possible. In most cases, the model can handle large data sets that allow to predict more accurately. In the presence of data scarcity, a Few-Shot learning (FSL) approach aims to build more accurate algorithms with limited training data.
Umaid M. Zaffar +3 more
openaire +2 more sources
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Looking Back to Lower-Level Information in Few-Shot Learning
Information, 2020 Humans are capable of learning new concepts from small numbers of examples. In contrast, supervised deep learning models usually lack the ability to extract reliable predictive rules from limited data scenarios when attempting to classify new examples ...
Zhongjie Yu, Sebastian Raschka
doaj +1 more source
CLIP-Driven Prototype Network for Few-Shot Semantic Segmentation
Entropy, 2023 Recent research has shown that visual–text pretrained models perform well in traditional vision tasks. CLIP, as the most influential work, has garnered significant attention from researchers.
Shi-Cheng Guo +4 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
wiley +1 more source
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Advanced Engineering Materials, EarlyView.Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Dynamic Knowledge Path Learning for Few-Shot Learning
Big Data Mining and AnalyticsFew-shot learning is a challenging task that aims to train a classifier with very limited training samples. Most existing few-shot learning methods mainly focus on mining knowledge from limited training samples as much as possible and ignore the learning
Jingzhu Li +4 more
doaj +1 more source
Enhancing Few-Shot Image Classification With Cosine Transformer
IEEE Access, 2023 This paper addresses the few-shot image classification problem, where the classification task is performed on unlabeled query samples given a small amount of labeled support samples only.
Quang-Huy Nguyen +3 more
doaj +1 more source
Relational Generalized Few-Shot Learning
CoRR, 2019 Transferring learned models to novel tasks is a challenging problem, particularly if only very few labeled examples are available. Although this few-shot learning setup has received a lot of attention recently, most proposed methods focus on discriminating novel classes only.
Xiahan Shi +4 more
openaire +2 more sources