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 5601–5650 of 12815 papers

Title	Date	Tasks	Status
ODSmoothGrad: Generating Saliency Maps for Object Detectors	Apr 15, 2023	Classificationimage-classification	—Unverified
Off-Policy Evaluation via Off-Policy Classification	Jun 4, 2019	ClassificationDeep Reinforcement Learning	—Unverified
Offset Bin Classification Network for Accurate Object Detection	Jun 1, 2020	ClassificationGeneral Classification	—Unverified
OhioState at SemEval-2018 Task 7: Exploiting Data Augmentation for Relation Classification in Scientific Papers using Piecewise Convolutional Neural Networks	Feb 25, 2018	ClassificationData Augmentation	—Unverified
OliVaR: Improving Olive Variety Recognition using Deep Neural Networks	Mar 1, 2023	Classification	—Unverified
Omnibus Dropout for Improving The Probabilistic Classification Outputs of ConvNets	Sep 25, 2019	Active LearningClassification	—Unverified
On a method for Rock Classification using Textural Features and Genetic Optimization	Jul 6, 2016	ClassificationGeneral Classification	—Unverified
On a scalable entropic breaching of the overfitting barrier in machine learning	Feb 8, 2020	BIG-bench Machine LearningClassification	—Unverified
On Bias and Fairness in NLP: Investigating the Impact of Bias and Debiasing in Language Models on the Fairness of Toxicity Detection	May 22, 2023	ClassificationFairness	—Unverified
On Binary Classification in Extreme Regions	Dec 1, 2018	Binary ClassificationClassification	—Unverified
On Binary Classification with Single-Layer Convolutional Neural Networks	Sep 13, 2015	Binary ClassificationClassification	—Unverified
On Box-Cox Transformation for Image Normality and Pattern Classification	Apr 15, 2020	ClassificationGeneral Classification	—Unverified
On Calibration of Speech Classification Models: Insights from Energy-Based Model Investigations	Jun 26, 2024	ClassificationDecision Making	—Unverified
Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once	Aug 14, 2019	ClassificationGeneral Classification	—Unverified
On Classification-Calibration of Gamma-Phi Losses	Feb 14, 2023	Classification	—Unverified
On Classification of Distorted Images with Deep Convolutional Neural Networks	Jan 8, 2017	ClassificationGeneral Classification	—Unverified
On Classification Thresholds for Graph Attention with Edge Features	Oct 18, 2022	ClassificationGraph Attention	—Unverified
On Classification with Bags, Groups and Sets	Jun 2, 2014	ClassificationGeneral Classification	—Unverified
On Classifying the Effects of Policy Announcements on Volatility	Nov 28, 2020	ClassificationClustering	—Unverified
On Communication Complexity of Classification Problems	Nov 16, 2017	BIG-bench Machine LearningClassification	—Unverified
On Controllable Sparse Alternatives to Softmax	Oct 29, 2018	Abstractive Text SummarizationClassification	—Unverified
On Data Augmentation for Extreme Multi-label Classification	Sep 22, 2020	ClassificationData Augmentation	—Unverified
On Designing Machine Learning Models for Malicious Network Traffic Classification	Jul 10, 2019	BIG-bench Machine LearningClassification	—Unverified
On-Device Document Classification using multimodal features	Jan 6, 2021	ClassificationDocument Classification	—Unverified
On-Device Information Extraction from SMS using Hybrid Hierarchical Classification	Feb 3, 2020	ClassificationGeneral Classification	—Unverified
On Distributed Quantization for Classification	Nov 1, 2019	ClassificationGeneral Classification	—Unverified
One-Bit Quantization and Sparsification for Multiclass Linear Classification with Strong Regularization	Feb 16, 2024	ClassificationQuantization	—Unverified
One-Class Classification: A Survey	Jan 8, 2021	ClassificationGeneral Classification	—Unverified
One-Class Classification for Intrusion Detection on Vehicular Networks	Sep 25, 2023	ClassificationIntrusion Detection	—Unverified
One-Class Classification for Wafer Map using Adversarial Autoencoder with DSVDD Prior	Jul 15, 2021	ClassificationOne-Class Classification	—Unverified
One-class Classification Robust to Geometric Transformation	Jan 1, 2021	ClassificationGeneral Classification	—Unverified
One-Class Classification: Taxonomy of Study and Review of Techniques	Nov 30, 2013	ClassificationGeneral Classification	—Unverified
One-Class Feature Learning Using Intra-Class Splitting	Dec 20, 2018	ClassificationGeneral Classification	—Unverified
One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification	Sep 14, 2021	ClassificationFew-Shot Learning	—Unverified
One-Class SVM with Privileged Information and its Application to Malware Detection	Sep 26, 2016	Anomaly DetectionClassification	—Unverified
On Efficient Online Imitation Learning via Classification	Sep 26, 2022	ClassificationDecision Making	—Unverified
Augmenting Variational Autoencoders with Sparse Labels: A Unified Framework for Unsupervised, Semi-(un)supervised, and Supervised Learning	Aug 8, 2019	ClassificationDecoder	—Unverified
One Node at a Time: Node-Level Network Classification	Aug 3, 2022	ClassificationClustering	—Unverified
On Learning the Right Attention Point for Feature Enhancement	Dec 11, 2020	ClassificationPoint Cloud Classification	—Unverified
Hyperdimensional Representation Learning for Node Classification and Link Prediction	Feb 26, 2024	Classificationclass-incremental learning	—Unverified
One-Shot Image Classification by Learning to Restore Prototypes	May 4, 2020	ClassificationGeneral Classification	—Unverified
One-Shot Learning using Mixture of Variational Autoencoders: a Generalization Learning approach	Apr 18, 2018	ClassificationGeneral Classification	—Unverified
One-Shot Learning with Triplet Loss for Vegetation Classification Tasks	Dec 14, 2020	ClassificationFace Recognition	—Unverified
One-Shot Strategic Classification Under Unknown Costs	Nov 5, 2023	Classification	—Unverified
One Size Fits All? A simple LSTM for non-literal token and construction-level classification	Aug 1, 2018	AllClassification	—Unverified
One-step regression and classification with crosspoint resistive memory arrays	May 5, 2020	ClassificationGeneral Classification	—Unverified
On Evaluating Adversarial Robustness of Chest X-ray Classification: Pitfalls and Best Practices	Dec 15, 2022	Adversarial RobustnessClassification	—Unverified
On evaluating CNN representations for low resource medical image classification	Mar 26, 2019	ClassificationGeneral Classification	—Unverified
On Evaluating the Quality of Rule-Based Classification Systems	Apr 6, 2020	ClassificationGeneral Classification	—Unverified
On Evaluation of Document Classification using RVL-CDIP	Jun 21, 2023	BenchmarkingClassification	—Unverified

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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	80_divisions	precision	93.2	—	Unverified
3	60_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