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 3901–3950 of 12815 papers

Title	Date	Tasks	Status	Hype
Lifelong Learning Natural Language Processing Approach for Multilingual Data Classification	May 25, 2022	ClassificationFake News Detection	—Unverified	0
COVID-19 Severity Classification on Chest X-ray Images	May 25, 2022	Classification	—Unverified	0
A CNN with Noise Inclined Module and Denoise Framework for Hyperspectral Image Classification	May 25, 2022	ClassificationHyperspectral Image Classification	CodeCode Available	0
Augmentation-induced Consistency Regularization for Classification	May 25, 2022	Audio ClassificationClassification	—Unverified	0
TSEM: Temporally Weighted Spatiotemporal Explainable Neural Network for Multivariate Time Series	May 25, 2022	ClassificationExplainable artificial intelligence	CodeCode Available	0
Privacy-Preserving Image Classification Using Vision Transformer	May 24, 2022	Classificationimage-classification	—Unverified	0
WeDef: Weakly Supervised Backdoor Defense for Text Classification	May 24, 2022	backdoor defenseClassification	—Unverified	0
Deep Learning-based automated classification of Chinese Speech Sound Disorders	May 24, 2022	ClassificationData Augmentation	—Unverified	0
Improving Shape Awareness and Interpretability in Deep Networks Using Geometric Moments	May 24, 2022	Classificationimage-classification	—Unverified	0
Soft-SVM Regression For Binary Classification	May 24, 2022	Binary ClassificationClassification	—Unverified	0
Analysing the Greek Parliament Records with Emotion Classification	May 24, 2022	ClassificationEmotion Classification	—Unverified	0
An Adaptive Contrastive Learning Model for Spike Sorting	May 24, 2022	Binary ClassificationBrain Computer Interface	—Unverified	0
Highly Accurate FMRI ADHD Classification using time distributed multi modal 3D CNNs	May 24, 2022	ClassificationData Augmentation	CodeCode Available	1
Classification of Phonological Parameters in Sign Languages	May 24, 2022	ClassificationPose Estimation	—Unverified	0
High-Order Pooling for Graph Neural Networks with Tensor Decomposition	May 24, 2022	ClassificationGraph Classification	—Unverified	0
Ranking-Based Siamese Visual Tracking	May 24, 2022	ClassificationVisual Tracking	CodeCode Available	1
Phased Progressive Learning with Coupling-Regulation-Imbalance Loss for Imbalanced Data Classification	May 24, 2022	Classificationimbalanced classification	—Unverified	0
Discriminative Feature Learning through Feature Distance Loss	May 23, 2022	Classificationimage-classification	CodeCode Available	0
Improving Short Text Classification With Augmented Data Using GPT-3	May 23, 2022	ClassificationLanguage Modeling	—Unverified	0
Many-Class Text Classification with Matching	May 23, 2022	Classificationtext-classification	—Unverified	0
ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification	May 23, 2022	ClassificationContrastive Learning	—Unverified	0
Deep Image Retrieval is not Robust to Label Noise	May 23, 2022	ClassificationDeep Learning	—Unverified	0
KOLD: Korean Offensive Language Dataset	May 23, 2022	ArticlesClassification	CodeCode Available	1
Conditional Supervised Contrastive Learning for Fair Text Classification	May 23, 2022	ClassificationContrastive Learning	CodeCode Available	0
Paddy Doctor: A Visual Image Dataset for Automated Paddy Disease Classification and Benchmarking	May 23, 2022	BenchmarkingClassification	—Unverified	0
Deep Low-Density Separation for Semi-Supervised Classification	May 22, 2022	Classification	—Unverified	0
Addressing Strategic Manipulation Disparities in Fair Classification	May 22, 2022	ClassificationFairness	—Unverified	0
All Birds with One Stone: Multi-task Text Classification for Efficient Inference with One Forward Pass	May 22, 2022	AllClassification	—Unverified	0
Sleep Posture One-Shot Learning Framework Using Kinematic Data Augmentation: In-Silico and In-Vivo Case Studies	May 22, 2022	ClassificationData Augmentation	—Unverified	0
Learning Muti-expert Distribution Calibration for Long-tailed Video Classification	May 22, 2022	Classificationimage-classification	—Unverified	0
Nonparametric Decentralized Detection and Sparse Sensor Selection via Multi-Sensor Online Kernel Scalar Quantization	May 21, 2022	ClassificationQuantization	—Unverified	0
Facing the Void: Overcoming Missing Data in Multi-View Imagery	May 21, 2022	Classificationimage-classification	CodeCode Available	0
Fine-Grained Visual Classification using Self Assessment Classifier	May 21, 2022	ClassificationContinual Learning	CodeCode Available	1
E-Scooter Rider Detection and Classification in Dense Urban Environments	May 20, 2022	Autonomous VehiclesClassification	CodeCode Available	0
Towards Consistency in Adversarial Classification	May 20, 2022	Classification	—Unverified	0
Modulation and Classification of Mixed Signals Based on Deep Learning	May 20, 2022	ClassificationDeep Learning	—Unverified	0
Deep transfer learning for image classification: a survey	May 20, 2022	Classificationimage-classification	—Unverified	0
A Case of Exponential Convergence Rates for SVM	May 20, 2022	Classification	—Unverified	0
Spikemax: Spike-based Loss Methods for Classification	May 19, 2022	Classification	—Unverified	0
Human Gender Prediction Based on Deep Transfer Learning from Panoramic Radiograph Images	May 19, 2022	Binary ClassificationClassification	—Unverified	0
Label-invariant Augmentation for Semi-Supervised Graph Classification	May 19, 2022	ClassificationContrastive Learning	—Unverified	0
Bayesian Convolutional Neural Networks for Limited Data Hyperspectral Remote Sensing Image Classification	May 19, 2022	Classificationimage-classification	—Unverified	0
Sliding-Window Normalization to Improve the Performance of Machine-Learning Models for Real-Time Motion Prediction Using Electromyography	May 19, 2022	BIG-bench Machine LearningClassification	—Unverified	0
Incremental Learning with Differentiable Architecture and Forgetting Search	May 19, 2022	Classificationimage-classification	—Unverified	0
CLCNet: Rethinking of Ensemble Modeling with Classification Confidence Network	May 19, 2022	ClassificationEnsemble Learning	CodeCode Available	1
A graph-transformer for whole slide image classification	May 19, 2022	ClassificationContrastive Learning	CodeCode Available	1
Using Capsule Networks to Classify Digitally Modulated Signals with Raw I/Q Data	May 19, 2022	Classification	—Unverified	0
Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification	May 18, 2022	ClassificationGraph Attention	—Unverified	0
Classification as Direction Recovery: Improved Guarantees via Scale Invariance	May 17, 2022	Binary ClassificationClassification	—Unverified	0
Multibit Tries Packet Classification with Deep Reinforcement Learning	May 17, 2022	ClassificationDeep Reinforcement Learning	—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