Multi-class Classification

240 papers with code • 4 benchmarks • 11 datasets

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Libraries

Use these libraries to find Multi-class Classification models and implementations

Most implemented papers

SentEval: An Evaluation Toolkit for Universal Sentence Representations

facebookresearch/SentEval 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 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 12 Apr 2019

In this work, we adopt a feature-engineering based approach to tackle the task of speech emotion recognition.

Efficient Deep Learning for Stereo Matching

saakuraa/cvpr16_stereo_public CVPR 2016

In the past year, convolutional neural networks have been shown to perform extremely well for stereo estimation.

Efficient Set-Valued Prediction in Multi-Class Classification

mwydmuch/napkinXC 19 Jun 2019

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.

Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification

zhangxiaoyu11/OmiVAE 17 Aug 2019

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

albertyang33/TADW IJCAI 2015

Representation learning has shown its effectiveness in many tasks such as image classification and text mining.

GenSVM: A Generalized Multiclass Support Vector Machine

GjjvdBurg/GenSVM Journal of Machine Learning Research 2016

Traditional extensions of the binary support vector machine (SVM) to multiclass problems are either heuristics or require solving a large dual optimization problem.

HDLTex: Hierarchical Deep Learning for Text Classification

kk7nc/HDLTex 24 Sep 2017

This is because along with this growth in the number of documents has come an increase in the number of categories.

PMLB v1.0: An open source dataset collection for benchmarking machine learning methods

EpistasisLab/pmlb 30 Nov 2020

Motivation: Novel machine learning and statistical modeling studies rely on standardized comparisons to existing methods using well-studied benchmark datasets.