Multi-class Classification
130 papers with code • 3 benchmarks • 6 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 implementations
SMM4H
Eduge
Most implemented papers
SentEval: An Evaluation Toolkit for Universal Sentence Representations
facebookresearch/SentEval
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LREC 2018
We introduce SentEval, a toolkit for evaluating the quality of universal sentence representations.
Evidential Deep Learning to Quantify Classification Uncertainty
labmlai/annotated_deep_learning_paper_implementations
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NeurIPS 2018
Deterministic neural nets have been shown to learn effective predictors on a wide range of machine learning problems.
Multimodal Speech Emotion Recognition and Ambiguity Resolution
Demfier/multimodal-speech-emotion-recognition
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In this work, we adopt a feature-engineering based approach to tackle the task of speech emotion recognition.
Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification
The training procedure of OmiVAE is comprised of an unsupervised phase without the classifier and a supervised phase with the classifier.
Network Representation Learning with Rich Text Information
Representation learning has shown its effectiveness in many tasks such as image classification and text mining.
GenSVM: A Generalized Multiclass Support Vector Machine
Traditional extensions of the binary support vector machine (SVM) to multiclass problems are either heuristics or require solving a large dual optimization problem.
Efficient Set-Valued Prediction in Multi-Class Classification
In cases of uncertainty, a multi-class classifier preferably returns a set of candidate classes instead of predicting a single class label with little guarantee.
PMLB v1.0: An open source dataset collection for benchmarking machine learning methods
Motivation: Novel machine learning and statistical modeling studies rely on standardized comparisons to existing methods using well-studied benchmark datasets.
Inverse-Category-Frequency based supervised term weighting scheme for text categorization
Term weighting schemes often dominate the performance of many classifiers, such as kNN, centroid-based classifier and SVMs.
Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks
It is not straightforward to integrate the content of each node in the current state-of-the-art network embedding methods.
