Results 31 to 40 of about 12,717 (259)
Selective Zero-Shot Classification with Augmented Attributes [PDF]
, 2018 To appear in ECCV ...
Jie Song 0011 +6 more
openaire +2 more sources
Machine Learning and Knowledge ExtractionObjectives: To guide language model (LM) selection by comparing finetuning vs. zero-shot use, generic pretraining vs. domain-adjacent vs. further domain-specific pretraining, and bidirectional language models (BiLMs) such as BERT vs.
Lovedeep Gondara +5 more
doaj +1 more source
Will It Zero-Shot?:Predicting Zero-Shot Classification Performance for Arbitrary Queries
2025 IEEE International Conference on Data Mining Workshops (ICDMW)Vision-Language Models like CLIP create aligned embedding spaces for text and images, making it possible for anyone to build a visual classifier by simply naming the classes they want to distinguish. However, a model that works well in one domain may fail in another, and non-expert users have no straightforward way to assess whether their chosen VLM ...
Kevin Robbins +6 more
openaire +3 more sources
Flexible Job Classification with Zero-Shot Learning
CoRR, 2022 Using a taxonomy to organize information requires classifying objects (documents, images, etc) with appropriate taxonomic classes. The flexible nature of zero-shot learning is appealing for this task because it allows classifiers to naturally adapt to taxonomy modifications.
openaire +4 more sources
Comprehensive Study on Zero-Shot Text Classification Using Category Mapping
IEEE AccessExisting zero-shot text classification methods based on large pre-trained models with added prompts exhibit strong representational capacity and scalability but have relatively poor commercial applicability. Approaches that fine-tune smaller models using
Kai Zhang +3 more
doaj +1 more source
FEBS Letters, EarlyView.Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell +2 more
wiley +1 more source
Broad Attribute Prediction Model With Enhanced Attribute and Feature
IEEE Access, 2019 For the zero-shot image classification without intersection between training and testing sets, the high-quality representation of image attributes and features plays a key role to improve the classification performance.
Jiarui Zhang, Xuesong Wang, Yuhu Cheng
doaj +1 more source
Zero-Shot Classification Using Hyperdimensional Computing
2024 Design, Automation & Test in Europe Conference & Exhibition (DATE)This is the extended version of a paper accepted in the Design, Automation, and Test in Europe Conference (DATE ...
Ruffino S. +5 more
openaire +5 more sources
Molecular Oncology, EarlyView.Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley +1 more source
Zero-Shot Learning for Sustainable Municipal Waste Classification
RecyclingAutomated waste classification is an essential step toward efficient recycling and waste management. Traditional deep learning models, such as convolutional neural networks, rely on extensive labeled datasets to achieve high accuracy.
Dishant Mewada +5 more
doaj +1 more source