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 8751–8800 of 12815 papers

Title	Date	Tasks	Status
Towards the automatic classification of complex-type nominals	Sep 1, 2013	ClassificationGeneral Classification	—Unverified
Towards the Classification of Error-Related Potentials using Riemannian Geometry	Sep 21, 2021	ClassificationEEG	—Unverified
Towards the Creation of a Nutrition and Food Group Based Image Database	Jun 5, 2022	ClassificationNutrition	—Unverified
Towards the Data-driven System for Rhetorical Parsing of Russian Texts	Jun 1, 2019	BIG-bench Machine LearningClassification	—Unverified
Towards the identification of Parkinson's Disease using only T1 MR Images	Jun 19, 2018	ClassificationDiagnostic	—Unverified
Towards the Visualization of Aggregated Class Activation Maps to Analyse the Global Contribution of Class Features	Jul 29, 2023	ClassificationDecision Making	—Unverified
Towards Threshold Invariant Fair Classification	Jun 18, 2020	BIG-bench Machine LearningClassification	—Unverified
Towards Toxic Positivity Detection	Jul 1, 2022	BenchmarkingClassification	—Unverified
Towards Training-Free Open-World Classification with 3D Generative Models	Jan 29, 2025	Classification	—Unverified
Towards Transferable Speech Emotion Representation: On loss functions for cross-lingual latent representations	Mar 28, 2022	ClassificationDenoising	—Unverified
Towards Transfer Learning for Large-Scale Image Classification Using Annealing-based Quantum Boltzmann Machines	Nov 27, 2023	ClassificationComputed Tomography (CT)	—Unverified
Towards Understanding the Robustness Against Evasion Attack on Categorical Data	Sep 29, 2021	Classification	—Unverified
Towards Unified Prompt Tuning for Few-shot Text Classification	May 11, 2022	ClassificationFew-Shot Learning	—Unverified
Towards unlocking the mystery of adversarial fragility of neural networks	Jun 23, 2024	Adversarial RobustnessClassification	—Unverified
Towards Unsupervised Classification with Deep Generative Models	Jan 1, 2018	ClassificationClustering	—Unverified
Towards Unsupervised Text Classification Leveraging Experts and Word Embeddings	Jul 1, 2019	ClassificationGeneral Classification	—Unverified
Towards Visual Explainable Active Learning for Zero-Shot Classification	Aug 15, 2021	Active LearningAttribute	—Unverified
Towards Weakly-Supervised Hate Speech Classification Across Datasets	May 4, 2023	Classificationtext-classification	—Unverified
On the Within-class Variation Issue in Alzheimer's Disease Detection	Sep 22, 2024	Alzheimer's Disease DetectionBinary Classification	—Unverified
Toward the application of XAI methods in EEG-based systems	Oct 12, 2022	Brain Computer InterfaceClassification	—Unverified
Toward the Automatic Classification of Self-Affirmed Refactoring	Sep 19, 2020	Classificationfeature selection	—Unverified
ToxCCIn: Toxic Content Classification with Interpretability	Mar 1, 2021	ClassificationGeneral Classification	—Unverified
Toxicity Classification in Ukrainian	Apr 27, 2024	ClassificationCross-Lingual Transfer	—Unverified
TPPI-Net: Towards Efficient and Practical Hyperspectral Image Classification	Mar 18, 2021	ClassificationGeneral Classification	—Unverified
Tradeoffs in Resampling and Filtering for Imbalanced Classification	Aug 31, 2022	Classificationimbalanced classification	—Unverified
Tradeoffs in Streaming Binary Classification under Limited Inspection Resources	Oct 5, 2021	Binary ClassificationClassification	—Unverified
Trading via Selective Classification	Oct 28, 2021	ClassificationPosition	—Unverified
Traffic Congestion Prediction using Deep Convolutional Neural Networks: A Color-coding Approach	Sep 16, 2022	Classificationvehicle detection	—Unverified
Traffic Sign Classification Using Deep and Quantum Neural Networks	Sep 30, 2022	ClassificationTraffic Sign Recognition	—Unverified
The Mapillary Traffic Sign Dataset for Detection and Classification on a Global Scale	Sep 10, 2019	Autonomous DrivingClassification	—Unverified
Traffic-Sign Detection and Classification in the Wild	Jun 1, 2016	ClassificationGeneral Classification	—Unverified
Trainable Activation Function in Image Classification	Apr 28, 2020	ClassificationGeneral Classification	—Unverified
Trainable Quantum Neural Network for Multiclass Image Classification with the Power of Pre-trained Tree Tensor Networks	Apr 21, 2025	Classificationimage-classification	—Unverified
Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning	Feb 9, 2021	ClassificationGeneral Classification	—Unverified
Training a Distributed Acoustic Sensing Traffic Monitoring Network With Video Inputs	Dec 17, 2024	Classification	—Unverified
Training and Classification using a Restricted Boltzmann Machine on the D-Wave 2000Q	May 7, 2020	ClassificationGeneral Classification	—Unverified
Training a Restricted Boltzmann Machine for Classification by Labeling Model Samples	Sep 3, 2015	ClassificationGeneral Classification	—Unverified
Training CNNs with Low-Rank Filters for Efficient Image Classification	Nov 20, 2015	ClassificationGeneral Classification	—Unverified
Training Experimentally Robust and Interpretable Binarized Regression Models Using Mixed-Integer Programming	Dec 1, 2021	Classificationregression	—Unverified
Training few-shot classification via the perspective of minibatch and pretraining	Apr 10, 2020	ClassificationGeneral Classification	—Unverified
Training Language Models under Resource Constraints for Adversarial Advertisement Detection	Jun 1, 2021	ClassificationData Augmentation	—Unverified
Training LDCRF model on unsegmented sequences using Connectionist Temporal Classification	Jun 26, 2016	ClassificationGeneral Classification	—Unverified
Training Medical Image Analysis Systems like Radiologists	May 28, 2018	BIG-bench Machine LearningClassification	—Unverified
Training Multimodal Systems for Classification with Multiple Objectives	Aug 26, 2020	ClassificationGeneral Classification	—Unverified
Training of CC4 Neural Network with Spread Unary Coding	Sep 3, 2015	ClassificationGeneral Classification	—Unverified
Training speech emotion classifier without categorical annotations	Oct 14, 2022	ClassificationEmotion Recognition	—Unverified
Training-Time Attacks against k-Nearest Neighbors	Aug 15, 2022	ClassificationDimensionality Reduction	—Unverified
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models	Oct 21, 2023	ClassificationInductive Learning	—Unverified
Transductive Learning with String Kernels for Cross-Domain Text Classification	Nov 2, 2018	ClassificationCross-Domain Text Classification	—Unverified
TransFair: Transferring Fairness from Ocular Disease Classification to Progression Prediction	Nov 24, 2024	ClassificationFairness	—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	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