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 11001–11050 of 12815 papers

Title	Date	Tasks	Status	Hype
Simple Classification using Binary Data	Jul 6, 2017	ClassificationGeneral Classification	—Unverified	0
Tensor-Train Recurrent Neural Networks for Video Classification	Jul 6, 2017	ClassificationGeneral Classification	CodeCode Available	0
Zero-Shot Deep Domain Adaptation	Jul 6, 2017	ClassificationDomain Adaptation	—Unverified	0
Multiple Range-Restricted Bidirectional Gated Recurrent Units with Attention for Relation Classification	Jul 5, 2017	ClassificationGeneral Classification	—Unverified	0
A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series	Jul 5, 2017	ClassificationEEG	CodeCode Available	1
Kernel Scaling for Manifold Learning and Classification	Jul 4, 2017	ClassificationClustering	—Unverified	0
Aggregating Frame-level Features for Large-Scale Video Classification	Jul 4, 2017	ClassificationGeneral Classification	—Unverified	0
Zero-Shot Fine-Grained Classification by Deep Feature Learning with Semantics	Jul 4, 2017	ClassificationDomain Adaptation	—Unverified	0
Multilingual Hierarchical Attention Networks for Document Classification	Jul 4, 2017	ClassificationComputational Efficiency	CodeCode Available	0
Deep Representation Learning with Part Loss for Person Re-Identification	Jul 4, 2017	ClassificationGeneral Classification	—Unverified	0
Automated Problem Identification: Regression vs Classification via Evolutionary Deep Networks	Jul 3, 2017	BIG-bench Machine LearningClassification	CodeCode Available	0
Learning Deep Latent Spaces for Multi-Label Classification	Jul 3, 2017	ClassificationGeneral Classification	CodeCode Available	0
Classification non supervisée des données hétérogènes à large échelle	Jul 2, 2017	ClassificationClustering	—Unverified	0
Deep-learning-based data page classification for holographic memory	Jul 2, 2017	ClassificationDeep Learning	—Unverified	0
Learning Deep Match Kernels for Image-Set Classification	Jul 1, 2017	ARCClassification	—Unverified	0
LCR-Net: Localization-Classification-Regression for Human Pose	Jul 1, 2017	3D Human Pose Estimation3D Multi-Person Pose Estimation (absolute)	—Unverified	0
Hierarchical Multimodal Metric Learning for Multimodal Classification	Jul 1, 2017	ClassificationGeneral Classification	—Unverified	0
Fine-Grained Image Classification via Combining Vision and Language	Jul 1, 2017	AttributeClassification	—Unverified	0
Adaptive Class Preserving Representation for Image Classification	Jul 1, 2017	ClassificationGeneral Classification	—Unverified	0
Zero-Shot Classification With Discriminative Semantic Representation Learning	Jul 1, 2017	AttributeClassification	—Unverified	0
Multi-Way Multi-Level Kernel Modeling for Neuroimaging Classification	Jul 1, 2017	ClassificationDiagnostic	—Unverified	0
Polyhedral Conic Classifiers for Visual Object Detection and Classification	Jul 1, 2017	ClassificationGeneral Classification	—Unverified	0
Designing Illuminant Spectral Power Distributions for Surface Classification	Jul 1, 2017	ClassificationDimensionality Reduction	CodeCode Available	0
A Generative Attentional Neural Network Model for Dialogue Act Classification	Jul 1, 2017	ClassificationDialogue Act Classification	—Unverified	0
Twitter Demographic Classification Using Deep Multi-modal Multi-task Learning	Jul 1, 2017	ClassificationGeneral Classification	—Unverified	0
Variation Autoencoder Based Network Representation Learning for Classification	Jul 1, 2017	ClassificationDocument Classification	—Unverified	0
Linguistically Regularized LSTM for Sentiment Classification	Jul 1, 2017	ClassificationGeneral Classification	—Unverified	0
Improvement of training set structure in fusion data cleaning using Time-Domain Global Similarity method	Jun 30, 2017	ClassificationDiagnostic	—Unverified	0
Rule-Mining based classification: a benchmark study	Jun 30, 2017	ClassificationGeneral Classification	CodeCode Available	0
Multiple VLAD encoding of CNNs for image classification	Jun 30, 2017	ClassificationGeneral Classification	—Unverified	0
From Parity to Preference-based Notions of Fairness in Classification	Jun 30, 2017	ClassificationDecision Making	CodeCode Available	1
Penalizing Unfairness in Binary Classification	Jun 30, 2017	Binary ClassificationClassification	CodeCode Available	0
Image classification using local tensor singular value decompositions	Jun 29, 2017	ClassificationGeneral Classification	—Unverified	0
Data-dependent Generalization Bounds for Multi-class Classification	Jun 29, 2017	ClassificationGeneral Classification	—Unverified	0
Deep Learning Based Large-Scale Automatic Satellite Crosswalk Classification	Jun 28, 2017	ClassificationDeep Learning	CodeCode Available	0
Real-time Distracted Driver Posture Classification	Jun 28, 2017	ClassificationGeneral Classification	—Unverified	0
Rate-Distortion Classification for Self-Tuning IoT Networks	Jun 27, 2017	ClassificationGeneral Classification	—Unverified	0
Cross-Country Skiing Gears Classification using Deep Learning	Jun 27, 2017	Activity RecognitionClassification	—Unverified	0
Fast and accurate classification of echocardiograms using deep learning	Jun 27, 2017	ClassificationDeep Learning	—Unverified	0
Deep Semantic Classification for 3D LiDAR Data	Jun 26, 2017	ClassificationGeneral Classification	—Unverified	0
Multi-level SVM Based CAD Tool for Classifying Structural MRIs	Jun 26, 2017	ClassificationGeneral Classification	—Unverified	0
An Effective Way to Improve YouTube-8M Classification Accuracy in Google Cloud Platform	Jun 26, 2017	ClassificationDeep Learning	—Unverified	0
Robust Sonar ATR Through Bayesian Pose Corrected Sparse Classification	Jun 26, 2017	Anomaly DetectionClassification	—Unverified	0
High-dimensional classification by sparse logistic regression	Jun 26, 2017	Binary ClassificationClassification	CodeCode Available	0
A Deep Neural Architecture for Sentence-level Sentiment Classification in Twitter Social Networking	Jun 25, 2017	ClassificationGeneral Classification	CodeCode Available	0
Encoding Video and Label Priors for Multi-label Video Classification on YouTube-8M dataset	Jun 24, 2017	ClassificationGeneral Classification	CodeCode Available	0
Multiresolution Match Kernels for Gesture Video Classification	Jun 23, 2017	ClassificationGeneral Classification	—Unverified	0
Scalable Multi-Class Gaussian Process Classification using Expectation Propagation	Jun 22, 2017	ClassificationGaussian Processes	—Unverified	0
Fractal dimension analysis for automatic morphological galaxy classification	Jun 22, 2017	ClassificationGeneral Classification	—Unverified	0
Comparison of Time-Frequency Representations for Environmental Sound Classification using Convolutional Neural Networks	Jun 22, 2017	Audio ClassificationClassification	—Unverified	0

Show:10 25 50

← PrevPage 221 of 257Next →

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