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 2751–2800 of 12815 papers

Title	Date	Tasks	Status	Score
Diversity with Cooperation: Ensemble Methods for Few-Shot Classification	Mar 27, 2019	ClassificationDiversity	CodeCode Available	5
Diversity-Based Generalization for Unsupervised Text Classification under Domain Shift	Feb 25, 2020	ClassificationDiversity	CodeCode Available	5
GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification	May 27, 2019	ClassificationGeneral Classification	CodeCode Available	5
AC-BLSTM: Asymmetric Convolutional Bidirectional LSTM Networks for Text Classification	Nov 7, 2016	ClassificationGeneral Classification	CodeCode Available	5
CIFAR-10 Image Classification Using Feature Ensembles	Feb 7, 2020	ClassificationGeneral Classification	CodeCode Available	5
Diversity-Aware Weighted Majority Vote Classifier for Imbalanced Data	Apr 16, 2020	Binary ClassificationClassification	CodeCode Available	5
Assessing Robustness of Text Classification through Maximal Safe Radius Computation	Oct 1, 2020	ClassificationGeneral Classification	CodeCode Available	5
Divergence Regulated Encoder Network for Joint Dimensionality Reduction and Classification	Dec 31, 2020	ClassificationDimensionality Reduction	CodeCode Available	5
Diverse Few-Shot Text Classification with Multiple Metrics	May 19, 2018	ClassificationFew-Shot Learning	CodeCode Available	5
Affective Event Classification with Discourse-enhanced Self-training	Nov 1, 2020	ClassificationGeneral Classification	CodeCode Available	5
ClsGAN: Selective Attribute Editing Model Based On Classification Adversarial Network	Oct 25, 2019	AttributeClassification	CodeCode Available	5
Distribution Matching for Self-Supervised Transfer Learning	Feb 20, 2025	ClassificationSelf-Supervised Learning	CodeCode Available	5
Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and Accuracy	May 19, 2023	ClassificationDiversity	CodeCode Available	5
Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification	Jun 4, 2025	ClassificationDomain Adaptation	CodeCode Available	5
iCAR: Bridging Image Classification and Image-text Alignment for Visual Recognition	Apr 22, 2022	Action RecognitionClassification	CodeCode Available	5
IceBench: A Benchmark for Deep Learning based Sea Ice Type Classification	Mar 22, 2025	BenchmarkingClassification	CodeCode Available	5
Dyadic Sex Composition and Task Classification Using fNIRS Hyperscanning Data	Dec 7, 2021	ClassificationDynamic Time Warping	CodeCode Available	5
ChuLo: Chunk-Level Key Information Representation for Long Document Processing	Oct 14, 2024	ChunkingClassification	CodeCode Available	5
A knee cannot have lung disease: out-of-distribution detection with in-distribution voting using the medical example of chest X-ray classification	Aug 1, 2022	ClassificationMulti-Label Classification	CodeCode Available	5
Distributionally Robust Classification on a Data Budget	Aug 7, 2023	Classificationimage-classification	CodeCode Available	5
Chronic Obstructive Pulmonary Disease Severity Classification using lung sound	Jun 6, 2024	ClassificationDiagnostic	CodeCode Available	5
Appearance-and-Relation Networks for Video Classification	Nov 24, 2017	Action ClassificationAction Recognition	CodeCode Available	5
Clustering Indices based Automatic Classification Model Selection	May 23, 2023	ClassificationClustering	CodeCode Available	5
Associative Alignment for Few-shot Image Classification	Dec 11, 2019	ClassificationDomain Adaptation	CodeCode Available	5
Distributed Black-box Attack: Do Not Overestimate Black-box Attacks	Oct 28, 2022	Classificationimage-classification	CodeCode Available	5
Distraction is All You Need for Fairness	Mar 15, 2022	AllClassification	CodeCode Available	5
From Question to Exploration: Test-Time Adaptation in Semantic Segmentation?	Oct 9, 2023	ClassificationSegmentation	CodeCode Available	5
Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation Models	Jul 4, 2022	Classificationimage-classification	CodeCode Available	5
AdaCC: Cumulative Cost-Sensitive Boosting for Imbalanced Classification	Sep 17, 2022	Classificationimbalanced classification	CodeCode Available	5
C-Net: A Reliable Convolutional Neural Network for Biomedical Image Classification	Oct 30, 2020	ClassificationGeneral Classification	CodeCode Available	5
Image Classification with Classic and Deep Learning Techniques	May 11, 2021	ClassificationDeep Learning	CodeCode Available	5
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification	Mar 21, 2022	Classification	CodeCode Available	5
Image-guided topic modeling for interpretable privacy classification	Sep 27, 2024	ClassificationLanguage Modeling	CodeCode Available	5
CNN-based InSAR Coherence Classification	Jan 20, 2020	ClassificationGeneral Classification	CodeCode Available	5
Distributed and parallel time series feature extraction for industrial big data applications	Oct 25, 2016	Binary ClassificationClassification	CodeCode Available	5
Distribution Free Prediction Sets for Node Classification	Nov 26, 2022	ClassificationConformal Prediction	CodeCode Available	5
DiSMEC - Distributed Sparse Machines for Extreme Multi-label Classification	Sep 8, 2016	ClassificationExtreme Multi-Label Classification	CodeCode Available	5
CNN features are also great at unsupervised classification	Jul 6, 2017	ClassificationClustering	CodeCode Available	5
A statistical theory of overfitting for imbalanced classification	Feb 17, 2025	Classificationimbalanced classification	CodeCode Available	5
CNN-RNN: A Unified Framework for Multi-label Image Classification	Apr 15, 2016	ClassificationGeneral Classification	CodeCode Available	5
Disentangled representations of microscopy images	Jun 25, 2025	ClassificationDisentanglement	CodeCode Available	5
Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification	May 11, 2019	ClassificationGeneral Classification	CodeCode Available	5
A step towards understanding why classification helps regression	Aug 21, 2023	Age EstimationClassification	CodeCode Available	5
Impact of Channel Variation on One-Class Learning for Spoof Detection	Sep 30, 2021	ClassificationOne-Class Classification	CodeCode Available	5
Chest X-Ray Images Classification with CNN	Dec 31, 2022	ClassificationDiagnostic	CodeCode Available	5
Impairments are Clustered in Latents of Deep Neural Network-based Speech Quality Models	Apr 30, 2025	Classification	CodeCode Available	5
Improved Training for 3D Point Cloud Classification	Jan 1, 2023	3D Object Classification3D Point Cloud Classification	CodeCode Available	5
Improved transferability of self-supervised learning models through batch normalization finetuning	Aug 15, 2024	ClassificationFew-Shot Learning	CodeCode Available	5
Acoustic scene classification using auditory datasets	Dec 26, 2021	Acoustic Scene ClassificationClassification	CodeCode Available	5
Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization	Dec 27, 2023	ClassificationContinual Learning	CodeCode Available	5

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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