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 2901–2950 of 12815 papers

Title	Date	Tasks	Status	Hype
Neural Gas Network Image Features and Segmentation for Brain Tumor Detection Using Magnetic Resonance Imaging Data	Jan 28, 2023	Binary ClassificationClassification	CodeCode Available	0
ACL-Fig: A Dataset for Scientific Figure Classification	Jan 28, 2023	ClassificationQuestion Answering	—Unverified	0
Adversarial Networks and Machine Learning for File Classification	Jan 27, 2023	ClassificationGenerative Adversarial Network	—Unverified	0
SLCNN: Sentence-Level Convolutional Neural Network for Text Classification	Jan 27, 2023	ClassificationDeep Learning	—Unverified	0
Automatic Modulation Classification with Deep Neural Networks	Jan 27, 2023	Classification	CodeCode Available	0
Deep Residual Compensation Convolutional Network without Backpropagation	Jan 27, 2023	Classification	—Unverified	0
Prompt-Based Editing for Text Style Transfer	Jan 27, 2023	ClassificationLanguage Modeling	CodeCode Available	1
SplitGNN: Splitting GNN for Node Classification with Heterogeneous Attention	Jan 27, 2023	ClassificationFederated Learning	—Unverified	0
Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification	Jan 27, 2023	Binary ClassificationClassification	CodeCode Available	0
Universal Domain Adaptation for Remote Sensing Image Scene Classification	Jan 26, 2023	ClassificationDomain Adaptation	CodeCode Available	1
Inspecting class hierarchies in classification-based metric learning models	Jan 26, 2023	ClassificationMetric Learning	CodeCode Available	0
A convolutional neural network of low complexity for tumor anomaly detection	Jan 24, 2023	Anomaly DetectionClassification	—Unverified	0
Efficient learning of large sets of locally optimal classification rules	Jan 24, 2023	Classification	CodeCode Available	0
Progressive Meta-Pooling Learning for Lightweight Image Classification Model	Jan 24, 2023	Classificationimage-classification	—Unverified	0
Local Window Attention Transformer for Polarimetric SAR Image Classification	Jan 23, 2023	ClassificationEarth Observation	CodeCode Available	1
Long-term stable Electromyography classification using Canonical Correlation Analysis	Jan 23, 2023	Classification	—Unverified	0
Classification of Luminal Subtypes in Full Mammogram Images Using Transfer Learning	Jan 23, 2023	Breast Cancer DetectionClassification	—Unverified	0
LSTM and CNN application for core-collapse supernova search in gravitational wave real data	Jan 23, 2023	ClassificationMulti-Label Classification	—Unverified	0
Improving Deep Regression with Ordinal Entropy	Jan 21, 2023	ClassificationCrowd Counting	CodeCode Available	1
MultiNet with Transformers: A Model for Cancer Diagnosis Using Images	Jan 21, 2023	Classificationimage-classification	—Unverified	0
Interpretable Classification of Early Stage Parkinson's Disease from EEG	Jan 20, 2023	ClassificationEEG	—Unverified	0
Subject-Independent Classification of Brain Signals using Skip Connections	Jan 19, 2023	Brain Computer InterfaceClassification	—Unverified	0
Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images	Jan 18, 2023	ClassificationMultiple Instance Learning	CodeCode Available	0
Which Model Shall I Choose? Cost/Quality Trade-offs for Text Classification Tasks	Jan 17, 2023	Classificationtext-classification	—Unverified	0
A globally optimal fast iterative linear maximum likelihood classifier	Jan 16, 2023	Classification	—Unverified	0
Multimodal Side-Tuning for Document Classification	Jan 16, 2023	ClassificationDocument Classification	CodeCode Available	1
ClassBases at CASE-2022 Multilingual Protest Event Detection Tasks: Multilingual Protest News Detection and Automatically Replicating Manually Created Event Datasets	Jan 16, 2023	ClassificationDocument Classification	CodeCode Available	0
Deep Learning based Novel Cascaded Approach for Skin Lesion Analysis	Jan 16, 2023	ClassificationDecoder	—Unverified	0
Doubly Robust Counterfactual Classification	Jan 15, 2023	Classificationcounterfactual	—Unverified	0
Gated Self-supervised Learning For Improving Supervised Learning	Jan 14, 2023	Classificationimage-classification	—Unverified	0
Classification of vertices on social networks by multiple approaches	Jan 13, 2023	ClassificationGraph Neural Network	—Unverified	0
Classification of Cross-cultural News Events	Jan 13, 2023	ClassificationCultural Vocal Bursts Intensity Prediction	—Unverified	0
LB-SimTSC: An Efficient Similarity-Aware Graph Neural Network for Semi-Supervised Time Series Classification	Jan 12, 2023	ClassificationDynamic Time Warping	—Unverified	0
Explainable Ponzi Schemes Detection on Ethereum	Jan 12, 2023	Classification	CodeCode Available	0
Online Class-Incremental Learning For Real-World Food Image Classification	Jan 12, 2023	Classificationclass-incremental learning	CodeCode Available	0
Analysis of Arrhythmia Classification on ECG Dataset	Jan 10, 2023	Arrhythmia DetectionClassification	—Unverified	0
A Privacy Preserving Method with a Random Orthogonal Matrix for ConvMixer Models	Jan 10, 2023	Classificationimage-classification	—Unverified	0
Rethinking Voxelization and Classification for 3D Object Detection	Jan 10, 2023	3D Object DetectionClassification	CodeCode Available	1
LTS-NET: End-to-end Unsupervised Learning of Long-Term 3D Stable objects	Jan 9, 2023	Classificationregression	—Unverified	0
Nuclear Segmentation and Classification: On Color & Compression Generalization	Jan 9, 2023	ClassificationNuclear Segmentation	—Unverified	0
EMAHA-DB1: A New Upper Limb sEMG Dataset for Classification of Activities of Daily Living	Jan 9, 2023	Activity RecognitionClassification	—Unverified	0
Nearest Neighbor-Based Contrastive Learning for Hyperspectral and LiDAR Data Classification	Jan 9, 2023	ClassificationContrastive Learning	CodeCode Available	1
Fair Multi-Exit Framework for Facial Attribute Classification	Jan 8, 2023	AttributeClassification	—Unverified	0
Weakly Supervised Joint Whole-Slide Segmentation and Classification in Prostate Cancer	Jan 7, 2023	ClassificationDiagnostic	—Unverified	0
Few-shot Node Classification with Extremely Weak Supervision	Jan 6, 2023	ClassificationMeta-Learning	CodeCode Available	0
Tackling Data Bias in Painting Classification with Style Transfer	Jan 6, 2023	ClassificationData Augmentation	CodeCode Available	0
Machine Fault Classification using Hamiltonian Neural Networks	Jan 4, 2023	Binary ClassificationClassification	—Unverified	0
Cost-Sensitive Stacking: an Empirical Evaluation	Jan 4, 2023	Classification	—Unverified	0
MoBYv2AL: Self-supervised Active Learning for Image Classification	Jan 4, 2023	Active LearningClassification	CodeCode Available	1
Text sampling strategies for predicting missing bibliographic links	Jan 4, 2023	ClassificationPosition	—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