Multi-class Classification

Multi-class classification is a type of supervised learning where the goal is to assign an input to one of three or more distinct classes. Unlike binary classification (which has only two classes), multi-class classification handles multiple labels and uses algorithms like logistic regression, decision trees, random forests, SVMs, or neural networks to predict the correct category based on the features of the input data.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 576–600 of 903 papers

Title	Date	Tasks	Status	Hype
Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty	Jul 31, 2020	ClassificationGeneral Classification	CodeCode Available	1
Additive interaction modelling using I-priors	Jul 30, 2020	Model SelectionMulti-class Classification	CodeCode Available	0
Joint Visual and Temporal Consistency for Unsupervised Domain Adaptive Person Re-Identification	Jul 21, 2020	ClassificationDomain Adaptive Person Re-Identification	—Unverified	0
Multi-label Contrastive Predictive Coding	Jul 20, 2020	Knowledge DistillationMulti-class Classification	—Unverified	0
Provably Consistent Partial-Label Learning	Jul 17, 2020	Multi-class ClassificationPartial Label Learning	—Unverified	0
COV-ELM classifier: An Extreme Learning Machine based identification of COVID-19 using Chest X-Ray Images	Jul 16, 2020	DiagnosticMulti-class Classification	—Unverified	0
Combining Task Predictors via Enhancing Joint Predictability	Jul 15, 2020	AttributeMulti-class Classification	—Unverified	0
HSD Shared Task in VLSP Campaign 2019:Hate Speech Detection for Social Good	Jul 13, 2020	General ClassificationHate Speech Detection	CodeCode Available	0
Online probabilistic label trees	Jul 8, 2020	Few-Shot LearningMulti-class Classification	CodeCode Available	1
Deep brain state classification of MEG data	Jul 2, 2020	Brain DecodingClassification	CodeCode Available	0
AutoBayes: Automated Bayesian Graph Exploration for Nuisance-Robust Inference	Jul 2, 2020	Bayesian InferenceBIG-bench Machine Learning	—Unverified	0
Consistent Structured Prediction with Max-Min Margin Markov Networks	Jul 2, 2020	Binary ClassificationGeneralization Bounds	CodeCode Available	0
Dynamic Sentence Boundary Detection for Simultaneous Translation	Jul 1, 2020	Boundary DetectionMulti-class Classification	—Unverified	0
Improving Low-Resource Named Entity Recognition using Joint Sentence and Token Labeling	Jul 1, 2020	Binary ClassificationClassification	—Unverified	0
Probabilistic Classification Vector Machine for Multi-Class Classification	Jun 29, 2020	ClassificationGeneral Classification	—Unverified	0
Want to Identify, Extract and Normalize Adverse Drug Reactions in Tweets? Use RoBERTa	Jun 29, 2020	Binary ClassificationGeneral Classification	—Unverified	0
An Integer Linear Programming Framework for Mining Constraints from Data	Jun 18, 2020	Multi-class ClassificationMulti-Label Classification	CodeCode Available	0
COVID-CXNet: Detecting COVID-19 in Frontal Chest X-ray Images using Deep Learning	Jun 16, 2020	Decision MakingImage Classification	CodeCode Available	1
Learnability with Indirect Supervision Signals	Jun 15, 2020	Generalization BoundsMulti-class Classification	—Unverified	0
Deep Layer-wise Networks Have Closed-Form Weights	Jun 15, 2020	FormMulti-class Classification	—Unverified	0
MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures	Jun 14, 2020	Multi-class ClassificationSemantic Similarity	CodeCode Available	0
HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach	Jun 12, 2020	ClassificationDeep Learning	—Unverified	0
Adaptive Gradient Methods Converge Faster with Over-Parameterization (but you should do a line-search)	Jun 11, 2020	Binary ClassificationMulti-class Classification	CodeCode Available	0
Beyond Triplet Loss: Meta Prototypical N-tuple Loss for Person Re-identification	Jun 8, 2020	ClassificationGeneral Classification	—Unverified	0
Achieving Equalized Odds by Resampling Sensitive Attributes	Jun 8, 2020	AttributeFairness	CodeCode Available	0

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All datasets COVID-19 CXR Dataset COVID chest X-ray Reuters-52 TII-SSRC-23 Training and validation dataset of capsule vision 2024 challenge.

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	COVID-CXNet	Accuracy (%)	94.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	COVID-ResNet	F1 score	0.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SVM (tficf)	Macro F1	73.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Extra Trees	F1-Score	93.36	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Multi-Model Ensemble	Mean AUC	0.99	—	Unverified