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

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Showing 6451–6500 of 12815 papers

Title	Date	Tasks	Status
Restricted Boltzmann Machine for Classification with Hierarchical Correlated Prior	Jun 13, 2014	ClassificationGeneral Classification	—Unverified
Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning-based Radiograph Diagnosis: A Multicenter Study	Apr 21, 2021	ClassificationDecision Making	—Unverified
Rethinking Attention Mechanism in Time Series Classification	Jul 14, 2022	ClassificationKnowledge Distillation	—Unverified
Rethinking Classification and Localization for Cascade R-CNN	Jul 27, 2019	ClassificationGeneral Classification	—Unverified
Beyond Triplet Loss: Meta Prototypical N-tuple Loss for Person Re-identification	Jun 8, 2020	ClassificationGeneral Classification	—Unverified
Rethinking Convolutional Semantic Segmentation Learning	Oct 22, 2017	ClassificationGeneral Classification	—Unverified
Rethinking Foundation Models for Medical Image Classification through a Benchmark Study on MedMNIST	Jan 24, 2025	Classificationimage-classification	—Unverified
Rethinking Graph Transformer Architecture Design for Node Classification	Oct 15, 2024	ClassificationComputational Efficiency	—Unverified
Rethinking movie genre classification with fine-grained semantic clustering	Dec 4, 2020	ClassificationClustering	—Unverified
Rethinking Multimodal Learning from the Perspective of Mitigating Classification Ability Disproportion	Feb 27, 2025	Classification	—Unverified
Rethinking Multiple Instance Learning: Developing an Instance-Level Classifier via Weakly-Supervised Self-Training	Aug 9, 2024	ClassificationMultiple Instance Learning	—Unverified
Rethinking News Text Classification from a Timeliness Perspective under the Pre-training and Fine-tuning Paradigm	Nov 16, 2021	ClassificationNews Classification	—Unverified
Rethinking Pseudo Labels for Semi-Supervised Object Detection	Jun 1, 2021	Classificationimage-classification	—Unverified
Rethinking Synthetic Data definitions: A privacy driven approach	Mar 5, 2025	ClassificationSynthetic Data Generation	—Unverified
Rethinking the impact of noisy labels in graph classification: A utility and privacy perspective	Jun 11, 2024	ClassificationContrastive Learning	—Unverified
Rethinking Tokenized Graph Transformers for Node Classification	Feb 12, 2025	ClassificationNode Classification	—Unverified
Rethinking VLMs and LLMs for Image Classification	Oct 3, 2024	Classificationimage-classification	—Unverified
Foveated Retinotopy Improves Classification and Localization in CNNs	Feb 23, 2024	ClassificationImage Categorization	—Unverified
Retrieval Augmented Classification for Long-Tail Visual Recognition	Feb 22, 2022	Classificationimage-classification	—Unverified
Retrieval-Augmented Meta Learning for Low-Resource Text Classification	Sep 10, 2023	ClassificationMeta-Learning	—Unverified
Retrieval-augmented Multi-label Text Classification	May 22, 2023	ClassificationMulti Label Text Classification	—Unverified
Retrieval-Enhanced Visual Prompt Learning for Few-shot Classification	Jun 4, 2023	ClassificationDomain Generalization	—Unverified
Reversed Active Learning based Atrous DenseNet for Pathological Image Classification	Jul 6, 2018	Active LearningClassification	—Unverified
Reverse Multi-Label Learning	Dec 1, 2010	ClassificationDocument Classification	—Unverified
Review-Level Sentiment Classification with Sentence-Level Polarity Correction	Nov 7, 2015	BIG-bench Machine LearningClassification	—Unverified
Review of AlexNet for Medical Image Classification	Nov 15, 2023	Classificationimage-classification	—Unverified
Review of Extreme Multilabel Classification	Feb 12, 2023	Classificationcompressed sensing	—Unverified
Review on Classification Techniques used in Biophysiological Stress Monitoring	Oct 28, 2022	ClassificationEEG	—Unverified
Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification	Aug 13, 2022	ClassificationGraph Classification	—Unverified
Revisiting a kNN-based Image Classification System with High-capacity Storage	Apr 3, 2022	ClassificationContinual Learning	—Unverified
Revisiting Classification Taxonomy for Grammatical Errors	Feb 17, 2025	Classification	—Unverified
Supervised Momentum Contrastive Learning for Few-Shot Classification	Jan 26, 2021	ClassificationContrastive Learning	—Unverified
Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering	Oct 26, 2020	ClassificationGeneral Classification	—Unverified
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation	Jun 1, 2018	ClassificationGeneral Classification	—Unverified
Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes	Apr 17, 2021	ClassificationFew-Shot Learning	—Unverified
Rethinking Relation Classification with Graph Meaning Representations	Oct 15, 2023	ClassificationNatural Language Understanding	—Unverified
Revisiting Graph Neural Networks for Link Prediction	Sep 28, 2020	ClassificationGraph Classification	—Unverified
Revisiting IM2GPS in the Deep Learning Era	May 13, 2017	ClassificationDeep Learning	—Unverified
Revisiting Machine Translation for Cross-lingual Classification	May 23, 2023	ClassificationCross-Lingual Transfer	—Unverified
Revisiting Metric Learning for Few-Shot Image Classification	Jul 6, 2019	ClassificationFew-Shot Image Classification	—Unverified
Revisiting MLLMs: An In-Depth Analysis of Image Classification Abilities	Dec 21, 2024	AttributeClassification	—Unverified
Revisiting N-CNN for Clinical Practice	Aug 10, 2023	Classification	—Unverified
Revisiting Neighborhood Aggregation in Graph Neural Networks for Node Classification using Statistical Signal Processing	Jul 21, 2024	ClassificationNode Classification	—Unverified
Revisiting R: Statistical Envelope Analysis for Lightweight RF Modulation Classification	Jun 24, 2025	Classification	—Unverified
Revisiting Rumour Stance Classification: Dealing with Imbalanced Data	Dec 1, 2020	ClassificationRumour Detection	—Unverified
Revisiting Softmax for Uncertainty Approximation in Text Classification	Nov 16, 2021	ClassificationDomain Adaptation	—Unverified
Revisiting Softmax for Uncertainty Approximation in Text Classification	Oct 25, 2022	ClassificationDomain Adaptation	—Unverified
Revisiting the Disequilibrium Issues in Tackling Heart Disease Classification Tasks	Jul 19, 2024	Classification	—Unverified
Revisiting Transformer-based Models for Long Document Classification	Nov 16, 2021	ClassificationDocument Classification	—Unverified
Utilizing synthetic training data for the supervised classification of rat ultrasonic vocalizations	Mar 3, 2023	Classification	—Unverified

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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