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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 8951–9000 of 12815 papers

Title	Date	Tasks	Status	Hype
Towards Integration of Statistical Hypothesis Tests into Deep Neural Networks	Jun 15, 2019	ClassificationGeneral Classification	—Unverified	0
Efficient Neural Network Approaches for Leather Defect Classification	Jun 15, 2019	ClassificationEdge Detection	—Unverified	0
Binary Classification using Pairs of Minimum Spanning Trees or N-ary Trees	Jun 14, 2019	Binary ClassificationClassification	—Unverified	0
Global and Local Interpretability for Cardiac MRI Classification	Jun 14, 2019	ClassificationGeneral Classification	—Unverified	0
Sentiment analysis is not solved! Assessing and probing sentiment classification	Jun 13, 2019	ClassificationGeneral Classification	CodeCode Available	0
Topological Data Analysis for Arrhythmia Detection through Modular Neural Networks	Jun 13, 2019	Arrhythmia DetectionClassification	—Unverified	0
A Comparison of Word-based and Context-based Representations for Classification Problems in Health Informatics	Jun 13, 2019	ClassificationGeneral Classification	—Unverified	0
Antonym-Synonym Classification Based on New Sub-space Embeddings	Jun 13, 2019	ClassificationGeneral Classification	—Unverified	0
Iterative subtraction method for Feature Ranking	Jun 13, 2019	ClassificationGeneral Classification	—Unverified	0
An image-driven machine learning approach to kinetic modeling of a discontinuous precipitation reaction	Jun 13, 2019	BIG-bench Machine LearningClassification	—Unverified	0
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification	Jun 12, 2019	Binary ClassificationClassification	CodeCode Available	0
Evaluation of Dataflow through layers of Deep Neural Networks in Classification and Regression Problems	Jun 12, 2019	ClassificationGeneral Classification	CodeCode Available	0
Manifold Graph with Learned Prototypes for Semi-Supervised Image Classification	Jun 12, 2019	ClassificationGeneral Classification	—Unverified	0
Non-Parametric Calibration for Classification	Jun 12, 2019	Active LearningClassification	CodeCode Available	0
Presence-Only Geographical Priors for Fine-Grained Image Classification	Jun 12, 2019	ClassificationFine-Grained Image Classification	CodeCode Available	1
Multitask Learning for Network Traffic Classification	Jun 12, 2019	ClassificationGeneral Classification	CodeCode Available	0
Simultaneously Learning Architectures and Features of Deep Neural Networks	Jun 11, 2019	Audio ClassificationClassification	—Unverified	0
Quantifying Intrinsic Uncertainty in Classification via Deep Dirichlet Mixture Networks	Jun 11, 2019	ClassificationGeneral Classification	—Unverified	0
Joint 3D Localization and Classification of Space Debris using a Multispectral Rotating Point Spread Function	Jun 11, 2019	ClassificationGeneral Classification	—Unverified	0
Classification of EEG Signals using Genetic Programming for Feature Construction	Jun 11, 2019	ClassificationDimensionality Reduction	—Unverified	0
Modeling Sentiment Dependencies with Graph Convolutional Networks for Aspect-level Sentiment Classification	Jun 11, 2019	Aspect-Based Sentiment Analysis (ABSA)Classification	CodeCode Available	0
Band Attention Convolutional Networks For Hyperspectral Image Classification	Jun 11, 2019	ClassificationDeep Learning	—Unverified	0
Zero-Shot Image Classification Using Coupled Dictionary Embedding	Jun 10, 2019	AttributeClassification	—Unverified	0
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective	Jun 10, 2019	Adversarial RobustnessClassification	CodeCode Available	0
Alzheimer's Disease Brain MRI Classification: Challenges and Insights	Jun 10, 2019	ClassificationGeneral Classification	CodeCode Available	0
FASTER Recurrent Networks for Efficient Video Classification	Jun 10, 2019	Action ClassificationAction Recognition	—Unverified	0
A cost-reducing partial labeling estimator in text classification problem	Jun 10, 2019	ClassificationGeneral Classification	—Unverified	0
A Closed-Form Learned Pooling for Deep Classification Networks	Jun 10, 2019	ClassificationForm	—Unverified	0
CRCEN: A Generalized Cost-sensitive Neural Network Approach for Imbalanced Classification	Jun 10, 2019	ClassificationGeneral Classification	—Unverified	0
A Persistent Weisfeiler–Lehman Procedure for Graph Classification	Jun 9, 2019	ClassificationGeneral Classification	CodeCode Available	0
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification	Jun 9, 2019	ClassificationGeneral Classification	CodeCode Available	0
Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification	Jun 9, 2019	ClassificationGeneral Classification	CodeCode Available	1
Semi-supervised Complex-valued GAN for Polarimetric SAR Image Classification	Jun 9, 2019	ClassificationGeneral Classification	—Unverified	0
Pixel DAG-Recurrent Neural Network for Spectral-Spatial Hyperspectral Image Classification	Jun 9, 2019	ClassificationGeneral Classification	—Unverified	0
A New Compensatory Genetic Algorithm-Based Method for Effective Compressed Multi-function Convolutional Neural Network Model Selection with Multi-Objective Optimization	Jun 8, 2019	ClassificationGeneral Classification	—Unverified	0
Lift Up and Act! Classifier Performance in Resource-Constrained Applications	Jun 8, 2019	ClassificationGeneral Classification	—Unverified	0
Forward and Backward Knowledge Transfer for Sentiment Classification	Jun 8, 2019	ClassificationGeneral Classification	—Unverified	0
Outlier Exposure with Confidence Control for Out-of-Distribution Detection	Jun 8, 2019	Anomaly DetectionClassification	CodeCode Available	0
Cell image classification: a comparative overview	Jun 7, 2019	Classificationimage-classification	CodeCode Available	0
Robustness for Non-Parametric Classification: A Generic Attack and Defense	Jun 7, 2019	Adversarial AttackAdversarial Defense	CodeCode Available	0
Transfer Learning for Nonparametric Classification: Minimax Rate and Adaptive Classifier	Jun 7, 2019	ClassificationGeneral Classification	—Unverified	0
Unsupervised Representation Learning of DNA Sequences	Jun 7, 2019	ClassificationGeneral Classification	—Unverified	0
Word Embeddings for the Armenian Language: Intrinsic and Extrinsic Evaluation	Jun 7, 2019	ArticlesClassification	CodeCode Available	0
Rectifying Classifier Chains for Multi-Label Classification	Jun 7, 2019	AttributeClassification	—Unverified	0
Towards Non-I.I.D. Image Classification: A Dataset and Baselines	Jun 7, 2019	ClassificationGeneral Classification	—Unverified	0
Vertex Classification on Weighted Networks	Jun 7, 2019	ClassificationGeneral Classification	—Unverified	0
Iterative Self-Learning: Semi-Supervised Improvement to Dataset Volumes and Model Accuracy	Jun 6, 2019	ClassificationGeneral Classification	—Unverified	0
Large-Scale Multi-Label Text Classification on EU Legislation	Jun 5, 2019	ClassificationGeneral Classification	CodeCode Available	1
Automated Classification of Seizures against Nonseizures: A Deep Learning Approach	Jun 5, 2019	ClassificationDeep Learning	—Unverified	0
Variational Pretraining for Semi-supervised Text Classification	Jun 5, 2019	ClassificationGeneral Classification	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