Classification

Classification is the task of categorizing a set of data into predefined classes or groups. The aim of classification is to train a model to correctly predict the class or group of new, unseen data. The model is trained on a labeled dataset where each instance is assigned a class label. The learning algorithm then builds a mapping between the features of the data and the class labels. This mapping is then used to predict the class label of new, unseen data points. The quality of the prediction is usually evaluated using metrics such as accuracy, precision, and recall.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 2001–2050 of 12815 papers

Title	Date	Tasks	Status	Hype
Large Language Models for Failure Mode Classification: An Investigation	Sep 15, 2023	ClassificationPrompt Engineering	CodeCode Available	1
Temporal-aware Hierarchical Mask Classification for Video Semantic Segmentation	Sep 14, 2023	ClassificationDecoder	CodeCode Available	0
Codec Data Augmentation for Time-domain Heart Sound Classification	Sep 14, 2023	ClassificationData Augmentation	—Unverified	0
Benchmarking machine learning models for quantum state classification	Sep 14, 2023	BenchmarkingClassification	—Unverified	0
Generative AI Text Classification using Ensemble LLM Approaches	Sep 14, 2023	ClassificationLanguage Modelling	—Unverified	0
Text Classification of Cancer Clinical Trial Eligibility Criteria	Sep 14, 2023	ClassificationLanguage Modeling	—Unverified	0
Learning from Auxiliary Sources in Argumentative Revision Classification	Sep 13, 2023	ClassificationMulti-Task Learning	—Unverified	0
Neural network-based coronary dominance classification of RCA angiograms	Sep 13, 2023	Classification	—Unverified	0
Respiratory Disease Classification and Biometric Analysis Using Biosignals from Digital Stethoscopes	Sep 12, 2023	Binary ClassificationClassification	—Unverified	0
Zero-Shot Visual Classification with Guided Cropping	Sep 12, 2023	ClassificationObject	—Unverified	0
On Regularized Sparse Logistic Regression	Sep 12, 2023	Binary ClassificationClassification	—Unverified	0
Radiomics Boosts Deep Learning Model for IPMN Classification	Sep 11, 2023	ClassificationDecision Making	—Unverified	0
Graph-Aware Contrasting for Multivariate Time-Series Classification	Sep 11, 2023	ClassificationContrastive Learning	CodeCode Available	1
Classification of Spam URLs Using Machine Learning Approaches	Sep 10, 2023	Classification	—Unverified	0
Transparency in Sleep Staging: Deep Learning Method for EEG Sleep Stage Classification with Model Interpretability	Sep 10, 2023	ClassificationDecision Making	—Unverified	0
Retrieval-Augmented Meta Learning for Low-Resource Text Classification	Sep 10, 2023	ClassificationMeta-Learning	—Unverified	0
Multi-modal Extreme Classification	Sep 10, 2023	ClassificationProduct Recommendation	CodeCode Available	1
Adaptive conformal classification with noisy labels	Sep 10, 2023	ClassificationConformal Prediction	CodeCode Available	0
MultiCaM-Vis: Visual Exploration of Multi-Classification Model with High Number of Classes	Sep 9, 2023	Classification	—Unverified	0
Exploring Music Genre Classification: Algorithm Analysis and Deployment Architecture	Sep 9, 2023	ClassificationGenre classification	—Unverified	0
AudRandAug: Random Image Augmentations for Audio Classification	Sep 9, 2023	Audio ClassificationClassification	CodeCode Available	0
Circles: Inter-Model Comparison of Multi-Classification Problems with High Number of Classes	Sep 8, 2023	Classification	—Unverified	0
Mask2Anomaly: Mask Transformer for Universal Open-set Segmentation	Sep 8, 2023	Anomaly SegmentationAutonomous Driving	—Unverified	0
USA: Universal Sentiment Analysis Model & Construction of Japanese Sentiment Text Classification and Part of Speech Dataset	Sep 7, 2023	ClassificationPOS	CodeCode Available	0
Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data	Sep 7, 2023	Anomaly DetectionClassification	—Unverified	0
Text-to-feature diffusion for audio-visual few-shot learning	Sep 7, 2023	ClassificationFew-Shot Learning	CodeCode Available	0
Supervised Learning and Large Language Model Benchmarks on Mental Health Datasets: Cognitive Distortions and Suicidal Risks in Chinese Social Media	Sep 7, 2023	ClassificationLanguage Modeling	CodeCode Available	1
Filtration Surfaces for Dynamic Graph Classification	Sep 7, 2023	ClassificationGraph Classification	CodeCode Available	0
Dataset Generation and Bonobo Classification from Weakly Labelled Videos	Sep 7, 2023	ClassificationDataset Generation	CodeCode Available	0
Decoding the Alphabet Soup of Degrees in the United States Postsecondary Education System Through Hybrid Method: Database and Text Mining	Sep 6, 2023	Classification	—Unverified	0
PDiscoNet: Semantically consistent part discovery for fine-grained recognition	Sep 6, 2023	Classification	CodeCode Available	1
Gene-induced Multimodal Pre-training for Image-omic Classification	Sep 6, 2023	ClassificationTriplet	CodeCode Available	0
Improving Image Classification of Knee Radiographs: An Automated Image Labeling Approach	Sep 6, 2023	Classificationimage-classification	—Unverified	0
Progressive Attention Guidance for Whole Slide Vulvovaginal Candidiasis Screening	Sep 6, 2023	ClassificationContrastive Learning	CodeCode Available	0
Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat	Sep 6, 2023	ClassificationFederated Learning	—Unverified	0
Enhancing Trustworthiness in ML-Based Network Intrusion Detection with Uncertainty Quantification	Sep 5, 2023	Active LearningClassification	—Unverified	0
Exploiting Spatial-temporal Data for Sleep Stage Classification via Hypergraph Learning	Sep 5, 2023	Classification	—Unverified	0
Symbolic Music Representations for Classification Tasks: A Systematic Evaluation	Sep 5, 2023	ClassificationInformation Retrieval	CodeCode Available	1
Continual Cross-Dataset Adaptation in Road Surface Classification	Sep 5, 2023	Autonomous VehiclesClassification	—Unverified	0
Robust Online Classification: From Estimation to Denoising	Sep 4, 2023	ClassificationDenoising	—Unverified	0
MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware	Sep 4, 2023	Classification	—Unverified	0
Locality-Aware Hyperspectral Classification	Sep 4, 2023	ClassificationHyperspectral Image Classification	CodeCode Available	1
Are We Using Autoencoders in a Wrong Way?	Sep 4, 2023	Anomaly DetectionClassification	CodeCode Available	0
AB2CD: AI for Building Climate Damage Classification and Detection	Sep 3, 2023	Building Damage AssessmentClassification	—Unverified	0
A Visual Interpretation-Based Self-Improved Classification System Using Virtual Adversarial Training	Sep 3, 2023	ClassificationSentiment Analysis	—Unverified	0
Streaming Active Learning for Regression Problems Using Regression via Classification	Sep 2, 2023	Active LearningClassification	—Unverified	0
Knowledge Graph Embeddings for Multi-Lingual Structured Representations of Radiology Reports	Sep 2, 2023	ClassificationGraph Embedding	—Unverified	0
Masked Transformer for Electrocardiogram Classification	Aug 31, 2023	ClassificationDiagnostic	—Unverified	0
Improving Out-of-Distribution Detection in Echocardiographic View Classication through Enhancing Semantic Features	Aug 31, 2023	ClassificationOut-of-Distribution Detection	—Unverified	0
The Power of MEME: Adversarial Malware Creation with Model-Based Reinforcement Learning	Aug 31, 2023	Adversarial Attack	CodeCode Available	0

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All datasets InDL MHIST N-ImageNet SPOT-10 Full-body Parkinson’s disease dataset Autoimmune Dataset N-CARS N-ImageNet (mini)ImageNet C-OOD (class-out-of-distribution)CWRU Bearing Dataset Burr classification images ForgeryNet

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	ConvNext	Average Recall	93.47	—	Unverified
2	VGG16	Average Recall	92.86	—	Unverified
3	DenseNet201	Average Recall	90.99	—	Unverified
4	Inception ResNet V2	Average Recall	90.27	—	Unverified
5	Xception	Average Recall	89.81	—	Unverified
6	NASNetLarge	Average Recall	89.52	—	Unverified
7	Darknet53	Average Recall	88.53	—	Unverified
8	ResNetV2_50	Average Recall	88.08	—	Unverified
9	MobileNetV3	Average Recall	84.28	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MoCo-v2 (ResNet-50)	Accuracy	88.03	—	Unverified
2	MoCo-v2 (ResNet-50)	Accuracy	85.88	—	Unverified
3	Barlow Twins (ResNet-50)	Accuracy	84.03	—	Unverified
4	SwAV (ResNet-50)	Accuracy	83.21	—	Unverified
5	Supervised (ViT-S/16)	Accuracy	81.68	—	Unverified
6	Barlow Rwins (ResNet-50)	Accuracy	81.27	—	Unverified
7	DINO (ViT-S/16)	Accuracy	79.43	—	Unverified
8	Supervised (ResNet-50)	Accuracy	78.92	—	Unverified
9	SwAV (ResNet-50)	Accuracy	77.99	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Event Spike Tensor	Accuracy (%)	48.93	—	Unverified
2	DiST	Accuracy (%)	48.43	—	Unverified
3	Sorted Time Surface	Accuracy (%)	47.9	—	Unverified
4	Event Histogram	Accuracy (%)	47.73	—	Unverified
5	HATS	Accuracy (%)	47.14	—	Unverified
6	Binary Event Image	Accuracy (%)	46.36	—	Unverified
7	Timestamp Image	Accuracy (%)	45.86	—	Unverified
8	Event Image	Accuracy (%)	45.77	—	Unverified
9	Time Surface	Accuracy (%)	44.32	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DenseNet121 Distiller	Accuracy	81.84	—	Unverified
2	ResNet101V2 Distiller	Accuracy	80.29	—	Unverified
3	ResNet50V2 Distiller	Accuracy	79.03	—	Unverified
4	MobileNet Distiller	Accuracy	78.26	—	Unverified
5	MobileNetV3Small Distiller	Accuracy	78.04	—	Unverified
6	MobileNetV3Large Distiller	Accuracy	77.88	—	Unverified
7	NASNetMobile Distiller	Accuracy	77.75	—	Unverified
8	MobileNetV2 Distiller	Accuracy	77.53	—	Unverified
9	ResNet50 Distiller	Accuracy	77.45	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PoseFormerV2	F1-score (weighted)	0.59	—	Unverified
2	PD STGCN	F1-score (weighted)	0.48	—	Unverified
3	MotionBERT	F1-score (weighted)	0.47	—	Unverified
4	Pose Transformers (POTR)	F1-score (weighted)	0.46	—	Unverified
5	MotionBERT-LITE	F1-score (weighted)	0.43	—	Unverified
6	MotionAGFormer	F1-score (weighted)	0.42	—	Unverified
7	Mixste	F1-score (weighted)	0.41	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Swin Transformer Base (Patch 4 Window 12)	F1 score	0.89	—	Unverified
2	CASS	F1 score	0.89	—	Unverified
3	CASS	F1 score	0.87	—	Unverified
4	DINO	F1 score	0.86	—	Unverified
5	DINO	F1 score	0.84	—	Unverified
6	VANBUREN et all	F1 score	0.63	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MEM	Accuracy (%)	98.55	—	Unverified
2	GET	Accuracy (%)	96.7	—	Unverified
3	ResNet34 + EST	Accuracy (%)	92.5	—	Unverified
4	Spiking VGG-11	Accuracy (%)	92.4	—	Unverified
5	Spiking MobileNet-64	Accuracy (%)	91.7	—	Unverified
6	Spiking DenseNet121-24	Accuracy (%)	90.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Event Imge	Accuracy (%)	61.42	—	Unverified
2	Event Histogram	Accuracy (%)	61.02	—	Unverified
3	Timestamp Image	Accuracy (%)	60.46	—	Unverified
4	DiST	Accuracy (%)	59.74	—	Unverified
5	Sorted Time Surface	Accuracy (%)	58.38	—	Unverified
6	Binary Event Image	Accuracy (%)	53.52	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ViT-L/32-384 with Max-logit	Detection AUROC (severity 0)	1	—	Unverified
2	ViT-L/32-384 with ODIN	Detection AUROC (severity 0)	1	—	Unverified
3	ViT-L/32-384 with Entropy	Detection AUROC (severity 0)	0.99	—	Unverified
4	ViT-L/32-384 with MC Dropout	Detection AUROC (severity 0)	0.99	—	Unverified
5	ViT-L/32-384 with Softmax	Detection AUROC (severity 0)	0.99	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MixMamba-Fewshot	10 fold Cross validation	99.93	—	Unverified
2	Few-shot Transformer Covariance	10 fold Cross validation	99.86	—	Unverified
3	MCNN-LSTM	10 fold Cross validation	98.46	—	Unverified
4	CNN	10 fold Cross validation	7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	70_divisions	precision	93.2	—	Unverified
2	60_divisions	precision	93.2	—	Unverified
3	80_divisions	precision	93.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MINTIME-XC	AUC	94.25	—	Unverified
2	SlowFast R-50	AUC	90.86	—	Unverified
3	MINTIME-EF	AUC	90.45	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DenseNet121	Robustness Score	0.91	—	Unverified
2	ResNet 50	Robustness Score	0.9	—	Unverified
3	VGG-16	Robustness Score	0.88	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BIOSCAN_1M_order_classifier	Macro F1	92.65	—	Unverified
2	BIOSCAN_1M_family_classifier	Macro F1	91.45	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OPT-1.3B	Test Accuracy	62.5	—	Unverified
2	OPT-125M	Test Accuracy	61.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OPT-1.3B	Test Accuracy	75.71	—	Unverified
2	OPT-125M	Test Accuracy	75	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GPT-4	1 shot Micro-F1	96.86	—	Unverified
2	BiLSTM-CRF	1 shot Micro-F1	82.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SVM	F1-score (Weighted)	86.19	—	Unverified
2	RoBERTa	F1-score (Weighted)	78.13	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GLNet	1:1 Accuracy	95.07	—	Unverified
2	CPM	1:1 Accuracy	50	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OPT-1.3B	Test Accuracy	60.89	—	Unverified
2	OPT-125M	Test Accuracy	57.05	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ELM Neuron	Accuracy (%)	82	—	Unverified
2	LSTM	Accuracy (%)	10	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OPT-1.3B	Test Accuracy	90.78	—	Unverified
2	OPT-125M	Test Accuracy	85.08	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OPT-1.3B	Test Accuracy	56.14	—	Unverified
2	OPT-125M	Test Accuracy	53.38	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OPT-1.3B	Test Accuracy	64.16	—	Unverified
2	OPT-125M	Test Accuracy	59.59	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MambaNet	AUROC	0.91	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RandomForestClassifier	Accuracy	82	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CNN + Attention + LSTM + CNN	Accuracy (%)	86.91	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	WeaSEL	1:1 Accuracy	86	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DINO	F1 score	0.99	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	AAPSO-Deep Feature Selection	Accuracy	98.41	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CNN	Validation Accuracy	93.55	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ResNet8×4	Accuracy	77.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ViT-L/16 (Background)	Accuracy on Brightness Corrupted Images	99.03	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Random Forest	AUC	0.97	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	lstm	Accuracy	0.72	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MSTP	Accuracy	95.11	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RECALL	Overall accuracy after last sequence	57.83	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RECALL	Overall accuracy after last sequence	4,065	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RRWNet	Accuracy	0.98	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TD-CNN- Attention	F1 score	99.71	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CLIP-RN50x64	1-of-100 Accuracy	61	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SVM	F1 (%)	97.72	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RRWNet	Accuracy	0.95	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	HSQformer	AUC	83.83	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	WaferSegClassNet	Accuracy	0.98	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	C-Tran, preprocessing, augmentation	ML F1	0.57	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	μ RadNet	1:1 Accuracy	99.22	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Resnet 50	Accuracy (% )	92.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RRWNet	Accuracy	0.97	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	pFedBreD_ns_mg	Accuracy	73.81	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SGD_ss	F1 (Seqeval)	2,020	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LangGas	Frame Level Accuracy	0.89	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	1DCNN-ResNet	macro f1 score (A(100), B(100), C(100) Avg.)	0.99	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BRIDGE	Accuracy	25.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MSI-H Transformer	AUPRC	0.58	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BRIDGE	Accuracy	42.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BRIDGE	Accuracy	36.2	—	Unverified