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 5051–5100 of 12815 papers

Title	Date	Tasks	Status	Hype
Optimal N-ary ECOC Matrices for Ensemble Classification	Oct 5, 2021	Classification	—Unverified	0
Robust Linear Classification from Limited Training Data	Oct 4, 2021	ClassificationDimensionality Reduction	—Unverified	0
Epileptic Seizure Classification Using Combined Labels and a Genetic Algorithm	Oct 4, 2021	ClassificationElectroencephalogram (EEG)	—Unverified	0
Effectiveness of Optimization Algorithms in Deep Image Classification	Oct 4, 2021	Classificationimage-classification	CodeCode Available	0
Improving Axial-Attention Network Classification via Cross-Channel Weight Sharing	Oct 4, 2021	Classificationimage-classification	CodeCode Available	0
Weakly Supervised Attention-based Models Using Activation Maps for Citrus Mite and Insect Pest Classification	Oct 2, 2021	ClassificationMultiple Instance Learning	—Unverified	0
Semantic Classification and Learning Using a Linear Tranformation Model in a Probabilistic Type Theory with Records	Oct 1, 2021	Bayesian InferenceClassification	—Unverified	0
Confiscation Detection of Criminal Judgment Using Text Classification Approach	Oct 1, 2021	Classificationtext-classification	—Unverified	0
A Preliminary Study on Environmental Sound Classification Leveraging Large-Scale Pretrained Model and Semi-Supervised Learning	Oct 1, 2021	ClassificationData Augmentation	—Unverified	0
Generative Adversarial Networks based on Mixed-Attentions for Citation Intent Classification in Scientific Publications	Oct 1, 2021	Citation Intent ClassificationClassification	—Unverified	0
A Study on Using Transfer Learning to Improve BERT Model for Emotional Classification of Chinese Lyrics	Oct 1, 2021	ClassificationEmotion Classification	—Unverified	0
Improved Text Classification of Long-term Care Materials	Oct 1, 2021	Classificationregression	—Unverified	0
Classification of Time-Series Data Using Boosted Decision Trees	Oct 1, 2021	Autonomous DrivingClassification	CodeCode Available	0
A Wideband Signal Recognition Dataset	Oct 1, 2021	Classification	—Unverified	0
Score-Based Generative Classifiers	Oct 1, 2021	Classification	—Unverified	0
ResNet strikes back: An improved training procedure in timm	Oct 1, 2021	ClassificationData Augmentation	CodeCode Available	1
Real-Time Patient-Specific ECG Classification by 1D Self-Operational Neural Networks	Sep 30, 2021	Arrhythmia DetectionClassification	—Unverified	0
Scalable Rule-Based Representation Learning for Interpretable Classification	Sep 30, 2021	ClassificationRepresentation Learning	CodeCode Available	1
XPROAX-Local explanations for text classification with progressive neighborhood approximation	Sep 30, 2021	Classificationcounterfactual	CodeCode Available	0
A system on chip for melanoma detection using FPGA-based SVM classifier	Sep 30, 2021	ClassificationHigh-Level Synthesis	—Unverified	0
Impact of Channel Variation on One-Class Learning for Spoof Detection	Sep 30, 2021	ClassificationOne-Class Classification	CodeCode Available	0
BERT got a Date: Introducing Transformers to Temporal Tagging	Sep 30, 2021	ClassificationDecoder	CodeCode Available	1
Fine-tuning wav2vec2 for speaker recognition	Sep 30, 2021	ClassificationSpeaker Recognition	CodeCode Available	1
Multi-granular Legal Topic Classification on Greek Legislation	Sep 30, 2021	Classificationtext-classification	CodeCode Available	0
C+1 Loss: Learn to Classify C Classes of Interest and the Background Class Differentially	Sep 29, 2021	ClassificationHuman Parsing	—Unverified	0
Improving Sentiment Classification Using 0-Shot Generated Labels for Custom Transformer Embeddings	Sep 29, 2021	ClassificationSentiment Analysis	—Unverified	0
DIVERSIFY to Generalize: Learning Generalized Representations for Time Series Classification	Sep 29, 2021	Activity RecognitionClassification	—Unverified	0
ClsVC: Learning Speech Representations with two different classification tasks.	Sep 29, 2021	ClassificationVocal Bursts Valence Prediction	—Unverified	0
Conceptron: a probabilistic deep one-class classification method	Sep 29, 2021	ClassificationOne-Class Classification	—Unverified	0
Contrastively Enforcing Distinctiveness for Multi-Label Classification	Sep 29, 2021	ClassificationContrastive Learning	—Unverified	0
Deep convolutional recurrent neural network for short-interval EEG motor imagery classification	Sep 29, 2021	ClassificationData Augmentation	—Unverified	0
Discovering Classification Rules for Interpretable Learning with Linear Programming	Sep 29, 2021	Classification	—Unverified	0
Improving the Accuracy of Learning Example Weights for Imbalance Classification	Sep 29, 2021	Classificationimage-classification	—Unverified	0
m-mix: Generating hard negatives via multiple samples mixing for contrastive learning	Sep 29, 2021	ClassificationContrastive Learning	—Unverified	0
Single-Cell Capsule Attention : an interpretable method of cell type classification for single-cell RNA-sequencing data	Sep 29, 2021	ClassificationDiversity	—Unverified	0
Regularizing Image Classification Neural Networks with Partial Differential Equations	Sep 29, 2021	Classificationimage-classification	—Unverified	0
STORM: Sketch Toward Online Risk Minimization	Sep 29, 2021	Classificationregression	—Unverified	0
Towards Understanding the Robustness Against Evasion Attack on Categorical Data	Sep 29, 2021	Classification	—Unverified	0
Where can quantum kernel methods make a big difference?	Sep 29, 2021	Classificationvalid	—Unverified	0
Few-Shot Classification with Task-Adaptive Semantic Feature Learning	Sep 29, 2021	Classification	—Unverified	0
GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification	Sep 29, 2021	BlockingClassification	—Unverified	0
Fieldwise Factorized Networks for Tabular Data Classification	Sep 29, 2021	Classificationtabular-classification	—Unverified	0
Advancing Nearest Neighbor Explanation-by-Example with Critical Classification Regions	Sep 29, 2021	ClassificationExplainable artificial intelligence	—Unverified	0
Mistake-driven Image Classification with FastGAN and SpinalNet	Sep 29, 2021	ClassificationData Augmentation	—Unverified	0
Meta-OLE: Meta-learned Orthogonal Low-Rank Embedding	Sep 29, 2021	ClassificationFew-Shot Image Classification	—Unverified	0
Best Practices in Pool-based Active Learning for Image Classification	Sep 29, 2021	Active LearningBenchmarking	—Unverified	0
Function-Space Variational Inference for Deep Bayesian Classification	Sep 29, 2021	Adversarial RobustnessClassification	—Unverified	0
Evaluating Language-biased image classification based on semantic compositionality	Sep 29, 2021	Classificationimage-classification	—Unverified	0
Cost-Sensitive Hierarchical Classification through Layer-wise Abstentions	Sep 29, 2021	Classification	—Unverified	0
Modeling Label Space Interactions in Multi-label Classification using Box Embeddings	Sep 29, 2021	ClassificationHierarchical Multi-label 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