Multi-class Classification
234 papers with code • 4 benchmarks • 12 datasets
Benchmarks
These leaderboards are used to track progress in Multi-class Classification
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Libraries
Use these libraries to find Multi-class Classification models and implementationsDatasets
CARER
SMM4H
CVE
SF-MASK
TII-SSRC-23
Latest papers with no code
Multi-Class Quantum Convolutional Neural Networks
The results show that with 4 classes, the performance is slightly lower compared to the classical CNN, while with a higher number of classes, the QCNN outperforms the classical neural network.
Multiclass ROC
Model evaluation is of crucial importance in modern statistics application.
Exploring Contrastive Learning for Long-Tailed Multi-Label Text Classification
In this paper, we conduct an in-depth study of supervised contrastive learning and its influence on representation in MLTC context.
Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization
Central to our approach is modeling a unique prompt tailored for detecting unknown class samples, and to train this, we employ a readily accessible stable diffusion model, elegantly generating proxy images for the open class.
Top-$k$ Classification and Cardinality-Aware Prediction
For these functions, we derive cost-sensitive comp-sum and constrained surrogate losses, establishing their $H$-consistency bounds and Bayes-consistency.
Large Language Models for Multi-Choice Question Classification of Medical Subjects
The aim of this paper is to evaluate whether large language models trained on multi-choice question data can be used to discriminate between medical subjects.
Hierarchical Classification for Intrusion Detection System: Effective Design and Empirical Analysis
With the increased use of network technologies like Internet of Things (IoT) in many real-world applications, new types of cyberattacks have been emerging.
FingerNet: EEG Decoding of A Fine Motor Imagery with Finger-tapping Task Based on A Deep Neural Network
We believe that effective execution of motor imagery can be achieved not only for fine MI, but also for local muscle MI
Neural Network Learning and Quantum Gravity
The landscape of low-energy effective field theories stemming from string theory is too vast for a systematic exploration.
A Tutorial on the Pretrain-Finetune Paradigm for Natural Language Processing
Our tutorial offers a comprehensive introduction to the pretrain-finetune paradigm.
