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 2501–2550 of 12815 papers

Title	Date	Tasks	Status	Score
DRAFT: Dense Retrieval Augmented Few-shot Topic classifier Framework	Dec 5, 2023	ClassificationIn-Context Learning	CodeCode Available	5
Drawing Attention to Detail: Pose Alignment through Self-Attention for Fine-Grained Object Classification	Feb 9, 2023	ClassificationGraph Matching	CodeCode Available	5
DSC IIT-ISM at SemEval-2020 Task 8: Bi-Fusion Techniques for Deep Meme Emotion Analysis	Jul 28, 2020	ClassificationEmotion Recognition	CodeCode Available	5
Evaluation of Dataflow through layers of Deep Neural Networks in Classification and Regression Problems	Jun 12, 2019	ClassificationGeneral Classification	CodeCode Available	5
Event-based Dynamic Graph Representation Learning for Patent Application Trend Prediction	Aug 4, 2023	ClassificationGraph Learning	CodeCode Available	5
Event Classification with Multi-step Machine Learning	Jun 4, 2021	BIG-bench Machine LearningClassification	CodeCode Available	5
Dual-Stream Attention Transformers for Sewer Defect Classification	Nov 7, 2023	ClassificationOptical Flow Estimation	CodeCode Available	5
Classification of Household Materials via Spectroscopy	May 10, 2018	ClassificationGeneral Classification	CodeCode Available	5
A Reductions Approach to Fair Classification	Mar 6, 2018	Binary ClassificationClassification	CodeCode Available	5
Evolutionary Optimization for the Classification of Small Molecules Regulating the Circadian Rhythm Period: A Reliable Assessment	Apr 27, 2025	Classificationfeature selection	CodeCode Available	5
PatentBERT: Patent Classification with Fine-Tuning a pre-trained BERT Model	May 14, 2019	ClassificationGeneral Classification	CodeCode Available	5
EXoN: EXplainable encoder Network	May 23, 2021	Classification	CodeCode Available	5
Expelled kidney stones classification using feature fusion	Apr 12, 2021	ClassificationSensitivity	CodeCode Available	5
Experiments with Universal CEFR Classification	Apr 18, 2018	ClassificationGeneral Classification	CodeCode Available	5
Domain Adapted Word Embeddings for Improved Sentiment Classification	May 11, 2018	ClassificationGeneral Classification	CodeCode Available	5
A Framework to Evaluate Early Time-Series Classification Algorithms	Mar 25, 2024	ClassificationTime Series	CodeCode Available	5
Domain Adaptive Segmentation in Volume Electron Microscopy Imaging	Oct 23, 2018	ClassificationDecoder	CodeCode Available	5
Douglas-Quaid -- Open Source Image Matching Library	Aug 12, 2019	ClassificationGeneral Classification	CodeCode Available	5
A Geometry-Sensitive Approach for Photographic Style Classification	Sep 3, 2019	ClassificationData Augmentation	CodeCode Available	5
Explaining a Neural Attention Model for Aspect-Based Sentiment Classification Using Diagnostic Classification	Mar 29, 2021	ClassificationDiagnostic	CodeCode Available	5
Classification of Influenza Hemagglutinin Protein Sequences using Convolutional Neural Networks	Aug 9, 2021	Classification	CodeCode Available	5
Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation	Aug 6, 2019	AttributeClassification	CodeCode Available	5
Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy	Jun 1, 2018	ClassificationDomain Adaptation	CodeCode Available	5
Explaining Deep Learning Models with Constrained Adversarial Examples	Jun 25, 2019	Classificationcounterfactual	CodeCode Available	5
Explaining Relation Classification Models with Semantic Extents	Aug 4, 2023	ClassificationRelation	CodeCode Available	5
Explaining Spectrograms in Machine Learning: A Study on Neural Networks for Speech Classification	Jul 10, 2024	Classificationspeech-recognition	CodeCode Available	5
Document Classification by Inversion of Distributed Language Representations	Apr 27, 2015	ClassificationDocument Classification	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
GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification	May 27, 2019	ClassificationGeneral Classification	CodeCode Available	5
Diversity with Cooperation: Ensemble Methods for Few-Shot Classification	Mar 27, 2019	ClassificationDiversity	CodeCode Available	5
Classification Auto-Encoder based Detector against Diverse Data Poisoning Attacks	Aug 9, 2021	BIG-bench Machine LearningClassification	CodeCode Available	5
Applications of Graph Integration to Function Comparison and Malware Classification	Oct 11, 2018	ClassificationGeneral Classification	CodeCode Available	5
A ResNet attention model for classifying mosquitoes from wing‑beating sounds	Jun 20, 2022	ClassificationData Augmentation	CodeCode Available	5
Exploring Description-Augmented Dataless Intent Classification	Jul 25, 2024	AvgClassification	CodeCode Available	5
Diversity-Aware Weighted Majority Vote Classifier for Imbalanced Data	Apr 16, 2020	Binary ClassificationClassification	CodeCode Available	5
Exploring Kolmogorov-Arnold Networks for Interpretable Time Series Classification	Nov 22, 2024	ClassificationComputational Efficiency	CodeCode Available	5
Diverse Few-Shot Text Classification with Multiple Metrics	May 19, 2018	ClassificationFew-Shot Learning	CodeCode Available	5
Exploring the Relationship Between Algorithm Performance, Vocabulary, and Run-Time in Text Classification	Apr 8, 2021	ClassificationDocument Classification	CodeCode Available	5
Accelerating Convergence in Bayesian Few-Shot Classification	May 2, 2024	ClassificationFew-Shot Learning	CodeCode Available	5
Classification of Motor Imagery EEG Signals by Using a Divergence Based Convolutional Neural Network	Mar 19, 2021	Brain Computer InterfaceClassification	CodeCode Available	5
Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and Accuracy	May 19, 2023	ClassificationDiversity	CodeCode Available	5
Diversity-Based Generalization for Unsupervised Text Classification under Domain Shift	Feb 25, 2020	ClassificationDiversity	CodeCode Available	5
Doctor XAvIer: Explainable Diagnosis on Physician-Patient Dialogues and XAI Evaluation	Apr 11, 2022	ClassificationDiagnostic	CodeCode Available	5
Distribution Free Prediction Sets for Node Classification	Nov 26, 2022	ClassificationConformal Prediction	CodeCode Available	5
Active Generation for Image Classification	Mar 11, 2024	Active LearningClassification	CodeCode Available	5
Distributed Black-box Attack: Do Not Overestimate Black-box Attacks	Oct 28, 2022	Classificationimage-classification	CodeCode Available	5
Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification	Jan 23, 2017	Binary ClassificationClassification	CodeCode Available	5
Face: Fast, Accurate and Context-Aware Audio Annotation and Classification	Mar 7, 2023	Active LearningAudio Classification	CodeCode Available	5
Facies Classification with Copula Entropy	Jan 24, 2025	ClassificationFacies Classification	CodeCode Available	5
Distributionally Robust Classification on a Data Budget	Aug 7, 2023	Classificationimage-classification	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