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 2151–2200 of 12815 papers

Title	Date	Tasks	Status	Hype
AutoML4ETC: Automated Neural Architecture Search for Real-World Encrypted Traffic Classification	Aug 4, 2023	ClassificationEarly Classification	CodeCode Available	1
Explaining Relation Classification Models with Semantic Extents	Aug 4, 2023	ClassificationRelation	CodeCode Available	0
Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network	Aug 4, 2023	Classificationimage-classification	—Unverified	0
Food Classification using Joint Representation of Visual and Textual Data	Aug 3, 2023	Classificationimage-classification	—Unverified	0
FROD: Robust Object Detection for Free	Aug 3, 2023	ClassificationObject	—Unverified	0
Deep Neural Networks Fused with Textures for Image Classification	Aug 3, 2023	ClassificationFine-Grained Image Classification	—Unverified	0
ETran: Energy-Based Transferability Estimation	Aug 3, 2023	Classificationimage-classification	CodeCode Available	0
QUANT: A Minimalist Interval Method for Time Series Classification	Aug 2, 2023	ClassificationCPU	CodeCode Available	1
Global Hierarchical Neural Networks using Hierarchical Softmax	Aug 2, 2023	Classificationtext-classification	CodeCode Available	0
PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts	Aug 2, 2023	Classificationimage-classification	CodeCode Available	1
Unlearning Spurious Correlations in Chest X-ray Classification	Aug 2, 2023	Classificationimage-classification	—Unverified	0
AsthmaSCELNet: A Lightweight Supervised Contrastive Embedding Learning Framework For Asthma Classification Using Lung Sounds	Aug 1, 2023	Asthmatic Lung Sound ClassificationAudio Classification	CodeCode Available	0
Covid-19 Public Sentiment Analysis for Indian Tweets Classification	Aug 1, 2023	ClassificationSentiment Analysis	—Unverified	0
The Weights Reset Technique for Deep Neural Networks Implicit Regularization	Aug 1, 2023	Classification	CodeCode Available	0
An Exact Kernel Equivalence for Finite Classification Models	Aug 1, 2023	Classification	—Unverified	0
EEG-based Cognitive Load Classification using Feature Masked Autoencoding and Emotion Transfer Learning	Aug 1, 2023	ClassificationDecision Making	—Unverified	0
Adaptive Semantic Consistency for Cross-domain Few-shot Classification	Aug 1, 2023	ClassificationCross-Domain Few-Shot	CodeCode Available	0
Predicting Early Dropouts of an Active and Healthy Ageing App	Aug 1, 2023	Classification	—Unverified	0
Unimodal Intermediate Training for Multimodal Meme Sentiment Classification	Aug 1, 2023	ClassificationSentiment Analysis	—Unverified	0
A comprehensive review of deep learning in lung cancer	Jul 31, 2023	Cancer ClassificationClassification	—Unverified	0
Robust Self Supervised Speech Embeddings for Child-Adult Classification in Interactions involving Children with Autism	Jul 31, 2023	Classification	—Unverified	0
Classification with Deep Neural Networks and Logistic Loss	Jul 31, 2023	Binary ClassificationClassification	—Unverified	0
Attribution-Scores in Data Management and Explainable Machine Learning	Jul 31, 2023	ClassificationManagement	—Unverified	0
A Suite of Fairness Datasets for Tabular Classification	Jul 31, 2023	ClassificationFairness	—Unverified	0
CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification	Jul 31, 2023	Classificationimage-classification	CodeCode Available	1
LaFiCMIL: Rethinking Large File Classification from the Perspective of Correlated Multiple Instance Learning	Jul 30, 2023	Android Malware DetectionClassification	—Unverified	0
Gastrointestinal Mucosal Problems Classification with Deep Learning	Jul 30, 2023	ClassificationDeep Learning	—Unverified	0
Recent Advances in Hierarchical Multi-label Text Classification: A Survey	Jul 30, 2023	ClassificationMulti Label Text Classification	—Unverified	0
Feature Reweighting for EEG-based Motor Imagery Classification	Jul 29, 2023	ClassificationEEG	—Unverified	0
Binary classification based Monte Carlo simulation	Jul 29, 2023	Binary ClassificationClassification	—Unverified	0
A 3D deep learning classifier and its explainability when assessing coronary artery disease	Jul 29, 2023	ClassificationDeep Learning	—Unverified	0
Multi-output Headed Ensembles for Product Item Classification	Jul 29, 2023	ClassificationFeature Engineering	—Unverified	0
Towards the Visualization of Aggregated Class Activation Maps to Analyse the Global Contribution of Class Features	Jul 29, 2023	ClassificationDecision Making	—Unverified	0
A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification	Jul 29, 2023	ClassificationImmune Repertoire Classification	CodeCode Available	0
Bayesian Time-Series Classifier for Decoding Simple Visual Stimuli from Intracranial Neural Activity	Jul 28, 2023	ClassificationTime Series	—Unverified	0
Few-shot Image Classification based on Gradual Machine Learning	Jul 28, 2023	ClassificationFew-Shot Image Classification	—Unverified	0
ODTlearn: A Package for Learning Optimal Decision Trees for Prediction and Prescription	Jul 28, 2023	Classification	CodeCode Available	1
Gzip versus bag-of-words for text classification	Jul 27, 2023	Classificationtext-classification	CodeCode Available	0
Text-guided Foundation Model Adaptation for Pathological Image Classification	Jul 27, 2023	Classificationimage-classification	CodeCode Available	1
Contrastive Knowledge Amalgamation for Unsupervised Image Classification	Jul 27, 2023	Classificationimage-classification	—Unverified	0
Understanding Silent Failures in Medical Image Classification	Jul 27, 2023	Classificationimage-classification	CodeCode Available	1
Decoding the Secrets of Machine Learning in Malware Classification: A Deep Dive into Datasets, Feature Extraction, and Model Performance	Jul 27, 2023	ClassificationMalware Classification	CodeCode Available	1
Mixture of Self-Supervised Learning	Jul 27, 2023	Classificationimage-classification	CodeCode Available	0
Simplified Concrete Dropout -- Improving the Generation of Attribution Masks for Fine-grained Classification	Jul 27, 2023	Classification	—Unverified	0
Towards Establishing Systematic Classification Requirements for Automated Driving	Jul 26, 2023	Classification	—Unverified	0
Developing and Evaluating Tiny to Medium-Sized Turkish BERT Models	Jul 26, 2023	ClassificationComputational Efficiency	—Unverified	0
Multi-modal Learning with Missing Modality via Shared-Specific Feature Modelling	Jul 26, 2023	Classificationdomain classification	CodeCode Available	1
ECO: Ensembling Context Optimization for Vision-Language Models	Jul 26, 2023	Classificationimage-classification	—Unverified	0
ECG classification using Deep CNN and Gramian Angular Field	Jul 25, 2023	Anomaly DetectionClassification	—Unverified	0
Network Traffic Classification based on Single Flow Time Series Analysis	Jul 25, 2023	ClassificationTime Series	CodeCode Available	1

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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