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 7501–7550 of 12815 papers

Title	Date	Tasks	Status	Hype
A Neural Network Approach for Online Nonlinear Neyman-Pearson Classification	Jun 14, 2020	ClassificationGeneral Classification	—Unverified	0
Domain Adaptation and Image Classification via Deep Conditional Adaptation Network	Jun 14, 2020	ClassificationDomain Adaptation	—Unverified	0
ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification	Jun 14, 2020	ClassificationEdge-computing	—Unverified	0
Analyzing the Impact of Foursquare and Streetlight Data with Human Demographics on Future Crime Prediction	Jun 13, 2020	ClassificationCrime Prediction	—Unverified	0
Automate Obstructive Sleep Apnea Diagnosis Using Convolutional Neural Networks	Jun 13, 2020	ClassificationGeneral Classification	—Unverified	0
Privacy Against Adversarial Classification in Cyber-Physical Systems	Jun 12, 2020	Classification	—Unverified	0
Fast Maximum Likelihood Estimation and Supervised Classification for the Beta-Liouville Multinomial	Jun 12, 2020	ClassificationComputational Efficiency	—Unverified	0
Comparing Natural Language Processing Techniques for Alzheimer's Dementia Prediction in Spontaneous Speech	Jun 12, 2020	ClassificationDiagnostic	—Unverified	0
HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach	Jun 12, 2020	ClassificationDeep Learning	—Unverified	0
Online Metric Learning for Multi-Label Classification	Jun 12, 2020	ClassificationGeneral Classification	—Unverified	0
Smartphone Transportation Mode Recognition Using a Hierarchical Machine Learning Classifier and Pooled Features From Time and Frequency Domains	Jun 12, 2020	ClassificationGeneral Classification	—Unverified	0
Power System Disturbance Classification with Online Event-Driven Neuromorphic Computing	Jun 11, 2020	ClassificationCPU	—Unverified	0
To Each Optimizer a Norm, To Each Norm its Generalization	Jun 11, 2020	ClassificationGeneral Classification	—Unverified	0
Pairwise Supervision Can Provably Elicit a Decision Boundary	Jun 11, 2020	Binary ClassificationClassification	—Unverified	0
Privacy-Aware Activity Classification from First Person Office Videos	Jun 11, 2020	ClassificationGeneral Classification	—Unverified	0
Discrete Latent Variable Representations for Low-Resource Text Classification	Jun 11, 2020	ClassificationGeneral Classification	CodeCode Available	1
Is deep learning necessary for simple classification tasks?	Jun 11, 2020	AutoMLBinary Classification	CodeCode Available	3
Brain MRI analysis using a deep learning based evolutionary approach	Jun 10, 2020	ClassificationDeep Learning	CodeCode Available	0
Binary Classification with Classical Instances and Quantum Labels	Jun 10, 2020	Binary ClassificationClassification	—Unverified	0
Image Enhancement and Object Recognition for Night Vision Surveillance	Jun 10, 2020	ClassificationGeneral Classification	—Unverified	0
AdaSense: Adaptive Low-Power Sensing and Activity Recognition for Wearable Devices	Jun 10, 2020	Activity RecognitionClassification	—Unverified	0
WasteNet: Waste Classification at the Edge for Smart Bins	Jun 10, 2020	ClassificationGeneral Classification	—Unverified	0
Bombus Species Image Classification	Jun 9, 2020	ClassificationGeneral Classification	—Unverified	0
Tamil Vowel Recognition With Augmented MNIST-like Data Set	Jun 9, 2020	ClassificationGeneral Classification	—Unverified	0
Provable tradeoffs in adversarially robust classification	Jun 9, 2020	ClassificationGeneral Classification	—Unverified	0
Towards More Practical Adversarial Attacks on Graph Neural Networks	Jun 9, 2020	ClassificationGeneral Classification	CodeCode Available	1
DcardNet: Diabetic Retinopathy Classification at Multiple Levels Based on Structural and Angiographic Optical Coherence Tomography	Jun 9, 2020	ClassificationGeneral Classification	—Unverified	0
Interpretable Classification of Bacterial Raman Spectra with Knockoff Wavelets	Jun 8, 2020	ClassificationGeneral Classification	CodeCode Available	0
Beyond Triplet Loss: Meta Prototypical N-tuple Loss for Person Re-identification	Jun 8, 2020	ClassificationGeneral Classification	—Unverified	0
Motion Prediction using Trajectory Sets and Self-Driving Domain Knowledge	Jun 8, 2020	ClassificationGeneral Classification	CodeCode Available	0
How useful is Active Learning for Image-based Plant Phenotyping?	Jun 7, 2020	Active LearningClassification	CodeCode Available	0
Thoracic Disease Identification and Localization using Distance Learning and Region Verification	Jun 7, 2020	ClassificationGeneral Classification	—Unverified	0
Multi-view Contrastive Learning for Online Knowledge Distillation	Jun 7, 2020	ClassificationContrastive Learning	CodeCode Available	1
Bearing Fault Diagnosis Base on Multi-scale CNN and LSTM Model	Jun 5, 2020	ClassificationDiagnostic	CodeCode Available	1
Generation of Differentially Private Heterogeneous Electronic Health Records	Jun 5, 2020	BIG-bench Machine LearningBinary Classification	—Unverified	0
SEAL: Scientific Keyphrase Extraction and Classification	Jun 5, 2020	ClassificationGeneral Classification	—Unverified	0
Pathological myopia classification with simultaneous lesion segmentation using deep learning	Jun 4, 2020	ClassificationDeep Learning	—Unverified	0
2D Image Features Detector And Descriptor Selection Expert System	Jun 4, 2020	ClassificationGeneral Classification	—Unverified	0
Classification with Valid and Adaptive Coverage	Jun 3, 2020	ClassificationGeneral Classification	CodeCode Available	1
Image Classification in the Dark using Quanta Image Sensors	Jun 3, 2020	ClassificationGeneral Classification	—Unverified	0
Interpretable Time-series Classification on Few-shot Samples	Jun 3, 2020	ClassificationFew-Shot Learning	CodeCode Available	1
Exploiting Class Labels to Boost Performance on Embedding-based Text Classification	Jun 3, 2020	ClassificationGeneral Classification	—Unverified	0
Open-Set Recognition with Gaussian Mixture Variational Autoencoders	Jun 3, 2020	ClassificationClustering	—Unverified	0
On the Equivalence between Online and Private Learnability beyond Binary Classification	Jun 2, 2020	Binary ClassificationClassification	—Unverified	0
Web Document Categorization Using Naive Bayes Classifier and Latent Semantic Analysis	Jun 2, 2020	ClassificationDocument Classification	—Unverified	0
DiscSense: Automated Semantic Analysis of Discourse Markers	Jun 2, 2020	ClassificationGeneral Classification	CodeCode Available	1
A heterogeneous branch and multi-level classification network for person re-identification	Jun 2, 2020	AttributeClassification	—Unverified	0
Hyperspectral Image Classification of Convolutional Neural Network Combined with Valuable Samples	Jun 1, 2020	Active LearningClassification	—Unverified	0
Discrete and Probabilistic Classifier-based Semantics	Jun 1, 2020	Classification	—Unverified	0
Du bon usage d'ingr\'edients linguistiques sp\'eciaux pour classer des recettes exceptionnelles (Using Special Linguistic Ingredients to Classify Exceptional Recipes )	Jun 1, 2020	ClassificationGeneral Classification	—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