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 3801–3850 of 12815 papers

Title	Date	Tasks	Status	Hype
Data Augmentation for Intent Classification	Jun 12, 2022	ClassificationData Augmentation	—Unverified	0
Semi-Supervised Hierarchical Graph Classification	Jun 11, 2022	ClassificationGraph Classification	—Unverified	0
Bispectrum-based Cross-frequency Functional Connectivity: Classification of Alzheimer's disease	Jun 10, 2022	ClassificationEEG	—Unverified	0
Memory Classifiers: Two-stage Classification for Robustness in Machine Learning	Jun 10, 2022	BIG-bench Machine LearningClassification	—Unverified	0
AHD ConvNet for Speech Emotion Classification	Jun 10, 2022	ClassificationEmotion Classification	—Unverified	0
Weakly-supervised segmentation using inherently-explainable classification models and their application to brain tumour classification	Jun 10, 2022	ClassificationDecision Making	CodeCode Available	0
Feature-informed Embedding Space Regularization For Audio Classification	Jun 10, 2022	Audio ClassificationClassification	—Unverified	0
Fundamental Limits in Formal Verification of Message-Passing Neural Networks	Jun 10, 2022	Adversarial RobustnessClassification	—Unverified	0
Saccade Mechanisms for Image Classification, Object Detection and Tracking	Jun 10, 2022	Classificationimage-classification	—Unverified	0
Mixed integer linear optimization formulations for learning optimal binary classification trees	Jun 10, 2022	Binary ClassificationClassification	CodeCode Available	0
Zero-Shot Audio Classification using Image Embeddings	Jun 10, 2022	Audio ClassificationClassification	—Unverified	0
Privacy Leakage in Text Classification: A Data Extraction Approach	Jun 9, 2022	ClassificationMemorization	—Unverified	0
DeepVerge: Classification of Roadside Verge Biodiversity and Conservation Potential	Jun 9, 2022	ClassificationManagement	—Unverified	0
Smart System: Joint Utility and Frequency for Pattern Classification	Jun 9, 2022	ClassificationEvent Detection	—Unverified	0
Multi-class Classification with Fuzzy-feature Observations: Theory and Algorithms	Jun 9, 2022	ClassificationMulti-class Classification	CodeCode Available	0
S3Net: Spectral–Spatial Siamese Network for Few-Shot Hyperspectral Image Classification	Jun 8, 2022	ClassificationHyperspectral Image Classification	CodeCode Available	1
Generative Adversarial Networks and Image-Based Malware Classification	Jun 8, 2022	BIG-bench Machine LearningClassification	—Unverified	0
Texture Extraction Methods Based Ensembling Framework for Improved Classification	Jun 8, 2022	Classification	CodeCode Available	0
CASS: Cross Architectural Self-Supervision for Medical Image Analysis	Jun 8, 2022	ClassificationMedical Image Analysis	CodeCode Available	1
Improving Evaluation of Debiasing in Image Classification	Jun 8, 2022	Classificationimage-classification	—Unverified	0
Low-complexity acoustic scene classification in DCASE 2022 Challenge	Jun 8, 2022	Acoustic Scene ClassificationClassification	—Unverified	0
Large Loss Matters in Weakly Supervised Multi-Label Classification	Jun 8, 2022	ClassificationMemorization	CodeCode Available	1
Classification of Stochastic Processes with Topological Data Analysis	Jun 8, 2022	ClassificationTime Series	—Unverified	0
Fair Classification via Domain Adaptation: A Dual Adversarial Learning Approach	Jun 8, 2022	AttributeClassification	CodeCode Available	0
Metric Based Few-Shot Graph Classification	Jun 8, 2022	ClassificationData Augmentation	CodeCode Available	1
IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach	Jun 7, 2022	ClassificationHistopathological Image Classification	—Unverified	0
Analyzing the impact of feature selection on the accuracy of heart disease prediction	Jun 7, 2022	ClassificationDisease Prediction	CodeCode Available	0
Localizing Semantic Patches for Accelerating Image Classification	Jun 7, 2022	ClassificationGeneral Classification	CodeCode Available	1
CTVR-EHO TDA-IPH Topological Optimized Convolutional Visual Recurrent Network for Brain Tumor Segmentation and Classification	Jun 6, 2022	Brain Tumor ClassificationBrain Tumor Segmentation	—Unverified	0
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data	Jun 6, 2022	ClassificationFairness	—Unverified	0
Mixed Graph Contrastive Network for Semi-Supervised Node Classification	Jun 6, 2022	ClassificationContrastive Learning	—Unverified	0
Contrastive Graph Multimodal Model for Text Classification in Videos	Jun 6, 2022	ClassificationContrastive Learning	—Unverified	0
[Reproducibility Report] Explainable Deep One-Class Classification	Jun 6, 2022	Anomaly DetectionClassification	—Unverified	0
JigsawHSI: a network for Hyperspectral Image classification	Jun 6, 2022	ClassificationHyperspectral Image Classification	CodeCode Available	1
A Simple yet Effective Method for Graph Classification	Jun 6, 2022	ClassificationGraph Classification	CodeCode Available	0
Knowledge-based Document Classification with Shannon Entropy	Jun 6, 2022	BIG-bench Machine LearningClassification	—Unverified	0
Information Threshold, Bayesian Inference and Decision-Making	Jun 5, 2022	Bayesian InferenceBinary Classification	—Unverified	0
A Simple Meta-learning Paradigm for Zero-shot Intent Classification with Mixture Attention Mechanism	Jun 5, 2022	Classificationintent-classification	—Unverified	0
Semi-Supervised Learning for Mars Imagery Classification and Segmentation	Jun 5, 2022	ClassificationContrastive Learning	—Unverified	0
Towards the Creation of a Nutrition and Food Group Based Image Database	Jun 5, 2022	ClassificationNutrition	—Unverified	0
Low Power Neuromorphic EMG Gesture Classification	Jun 4, 2022	ClassificationEMG Gesture Recognition	—Unverified	0
Learning rich optical embeddings for privacy-preserving lensless image classification	Jun 3, 2022	Classificationimage-classification	—Unverified	0
Supernet Training for Federated Image Classification under System Heterogeneity	Jun 3, 2022	ClassificationFederated Learning	CodeCode Available	0
Task-Adaptive Pre-Training for Boosting Learning With Noisy Labels: A Study on Text Classification for African Languages	Jun 3, 2022	ClassificationLearning with noisy labels	—Unverified	0
On Calibration of Graph Neural Networks for Node Classification	Jun 3, 2022	ClassificationLink Prediction	CodeCode Available	0
Generalization for multiclass classification with overparameterized linear models	Jun 3, 2022	Binary ClassificationClassification	—Unverified	0
Automatic recognition of flow cytometric phytoplankton functional groups using convolutional neural networks	Jun 2, 2022	Classification	CodeCode Available	0
OmicSelector: automatic feature selection and deep learning modeling for omic experiments	Jun 2, 2022	ClassificationDiagnostic	CodeCode Available	1
Rashomon Capacity: A Metric for Predictive Multiplicity in Classification	Jun 2, 2022	ClassificationDecision Making	CodeCode Available	0
Fuzzy granular approximation classifier	Jun 2, 2022	Binary ClassificationClassification	CodeCode Available	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