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 10701–10750 of 12815 papers

Title	Date	Tasks	Status	Hype
Micro-Doppler Based Human-Robot Classification Using Ensemble and Deep Learning Approaches	Nov 25, 2017	ClassificationGait Recognition	—Unverified	0
Warped-Linear Models for Time Series Classification	Nov 24, 2017	ClassificationDynamic Time Warping	—Unverified	0
Persistent homology machine learning for fingerprint classification	Nov 24, 2017	BIG-bench Machine LearningClassification	—Unverified	0
Appearance-and-Relation Networks for Video Classification	Nov 24, 2017	Action ClassificationAction Recognition	CodeCode Available	0
DeepPainter: Painter Classification Using Deep Convolutional Autoencoders	Nov 23, 2017	ClassificationGeneral Classification	—Unverified	0
A Pitfall of Unsupervised Pre-Training	Nov 23, 2017	ClassificationGeneral Classification	—Unverified	0
Safer Classification by Synthesis	Nov 22, 2017	ClassificationGeneral Classification	—Unverified	0
Variational Bayesian Inference For A Scale Mixture Of Normal Distributions Handling Missing Data	Nov 22, 2017	Bayesian InferenceClassification	—Unverified	0
A multiobjective deep learning approach for predictive classification in Neuroblastoma	Nov 22, 2017	ClassificationDeep Learning	—Unverified	0
DeepSign: Deep Learning for Automatic Malware Signature Generation and Classification	Nov 21, 2017	ClassificationDeep Learning	CodeCode Available	0
Classification with Costly Features using Deep Reinforcement Learning	Nov 20, 2017	ClassificationClassification with Costly Features	CodeCode Available	0
Glitch Classification and Clustering for LIGO with Deep Transfer Learning	Nov 20, 2017	ClassificationClustering	—Unverified	0
A generalised framework for detailed classification of swimming paths inside the Morris Water Maze	Nov 20, 2017	ClassificationGeneral Classification	CodeCode Available	0
CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise	Nov 20, 2017	ClassificationGeneral Classification	CodeCode Available	1
A systematic framework to discover pattern for web spam classification	Nov 19, 2017	ClassificationGeneral Classification	—Unverified	0
Discriminant Projection Representation-based Classification for Vision Recognition	Nov 19, 2017	ClassificationGeneral Classification	—Unverified	0
Bidirectional deep-readout echo state networks	Nov 17, 2017	ClassificationDimensionality Reduction	CodeCode Available	0
On Communication Complexity of Classification Problems	Nov 16, 2017	BIG-bench Machine LearningClassification	—Unverified	0
Hybrid Approach of Relation Network and Localized Graph Convolutional Filtering for Breast Cancer Subtype Classification	Nov 16, 2017	ClassificationDeep Learning	—Unverified	0
A Fast and Robust TSVM for Pattern Classification	Nov 15, 2017	ClassificationGeneral Classification	CodeCode Available	0
LIUBoost : Locality Informed Underboosting for Imbalanced Data Classification	Nov 15, 2017	ClassificationGeneral Classification	—Unverified	0
Dynamic Principal Projection for Cost-Sensitive Online Multi-Label Classification	Nov 14, 2017	ClassificationGeneral Classification	—Unverified	0
Saliency-based Sequential Image Attention with Multiset Prediction	Nov 14, 2017	ClassificationGeneral Classification	—Unverified	0
Unsupervised patient representations from clinical notes with interpretable classification decisions	Nov 14, 2017	ClassificationDenoising	—Unverified	0
Provably efficient neural network representation for image classification	Nov 13, 2017	ClassificationEfficient Neural Network	—Unverified	0
3D Shape Classification Using Collaborative Representation based Projections	Nov 13, 2017	3D Shape ClassificationClassification	—Unverified	0
An Automatic Diagnosis Method of Facial Acne Vulgaris Based on Convolutional Neural Network	Nov 13, 2017	ClassificationGeneral Classification	—Unverified	0
Sparse quadratic classification rules via linear dimension reduction	Nov 13, 2017	ClassificationDimensionality Reduction	CodeCode Available	0
Breast density classification with deep convolutional neural networks	Nov 10, 2017	breast density classificationClassification	CodeCode Available	0
Deep Within-Class Covariance Analysis for Robust Audio Representation Learning	Nov 10, 2017	Acoustic Scene ClassificationClassification	—Unverified	0
Fast Meta-Learning for Adaptive Hierarchical Classifier Design	Nov 9, 2017	Binary ClassificationClassification	CodeCode Available	0
Image Captioning and Classification of Dangerous Situations	Nov 7, 2017	Anomaly DetectionClassification	—Unverified	0
Aspect-level Sentiment Classification with HEAT (HiErarchical ATtention) Network	Nov 6, 2017	ClassificationSentence	—Unverified	0
Artificial Generation of Big Data for Improving Image Classification: A Generative Adversarial Network Approach on SAR Data	Nov 6, 2017	ClassificationGeneral Classification	CodeCode Available	0
End-to-End Video Classification with Knowledge Graphs	Nov 6, 2017	BIG-bench Machine LearningClassification	—Unverified	0
Structure Regularized Bidirectional Recurrent Convolutional Neural Network for Relation Classification	Nov 6, 2017	ClassificationGeneral Classification	—Unverified	0
Unsupervised Learning of Semantic Audio Representations	Nov 6, 2017	Audio ClassificationClassification	—Unverified	0
Multi-label Dataless Text Classification with Topic Modeling	Nov 5, 2017	ClassificationGeneral Classification	CodeCode Available	0
Convolutional Drift Networks for Video Classification	Nov 3, 2017	ClassificationGeneral Classification	—Unverified	0
Real-Time Document Image Classification using Deep CNN and Extreme Learning Machines	Nov 3, 2017	ClassificationDeep Learning	—Unverified	0
Oversampling for Imbalanced Learning Based on K-Means and SMOTE	Nov 2, 2017	ClassificationClustering	CodeCode Available	0
Data Augmentation in Emotion Classification Using Generative Adversarial Networks	Nov 2, 2017	ClassificationData Augmentation	—Unverified	0
A Classification-Based Study of Covariate Shift in GAN Distributions	Nov 2, 2017	ClassificationDiversity	—Unverified	0
Identifying Usage Expression Sentences in Consumer Product Reviews	Nov 1, 2017	ClassificationGeneral Classification	—Unverified	0
Combining Lightly-Supervised Text Classification Models for Accurate Contextual Advertising	Nov 1, 2017	ClassificationGeneral Classification	—Unverified	0
Demographic Word Embeddings for Racism Detection on Twitter	Nov 1, 2017	ClassificationGeneral Classification	—Unverified	0
Cascading Multiway Attentions for Document-level Sentiment Classification	Nov 1, 2017	ClassificationGeneral Classification	—Unverified	0
Leveraging Auxiliary Tasks for Document-Level Cross-Domain Sentiment Classification	Nov 1, 2017	ClassificationDenoising	—Unverified	0
Sentence Modeling with Deep Neural Architecture using Lexicon and Character Attention Mechanism for Sentiment Classification	Nov 1, 2017	ClassificationGeneral Classification	—Unverified	0
Utilizing Visual Forms of Japanese Characters for Neural Review Classification	Nov 1, 2017	ClassificationGeneral Classification	—Unverified	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