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 2851–2900 of 12815 papers

Title	Date	Tasks	Status	Hype
Causal Strategic Classification: A Tale of Two Shifts	Feb 13, 2023	ClassificationVocal Bursts Valence Prediction	CodeCode Available	0
SemanticAC: Semantics-Assisted Framework for Audio Classification	Feb 12, 2023	Audio ClassificationClassification	—Unverified	0
Review of Extreme Multilabel Classification	Feb 12, 2023	Classificationcompressed sensing	—Unverified	0
Sequential Embedding-based Attentive (SEA) classifier for malware classification	Feb 11, 2023	ClassificationMalware Classification	CodeCode Available	0
Divergence-Based Domain Transferability for Zero-Shot Classification	Feb 11, 2023	Classificationzero-shot-classification	—Unverified	0
The Role of Codeword-to-Class Assignments in Error-Correcting Codes: An Empirical Study	Feb 10, 2023	Binary ClassificationClassification	CodeCode Available	0
Machine Learning Capability: A standardized metric using case difficulty with applications to individualized deployment of supervised machine learning	Feb 9, 2023	ClassificationDecision Making	—Unverified	0
Zero-Shot Learning for Requirements Classification: An Exploratory Study	Feb 9, 2023	ClassificationWord Embeddings	CodeCode Available	0
Classification of BCI-EEG based on augmented covariance matrix	Feb 9, 2023	ClassificationEEG	CodeCode Available	0
Drawing Attention to Detail: Pose Alignment through Self-Attention for Fine-Grained Object Classification	Feb 9, 2023	ClassificationGraph Matching	CodeCode Available	0
Cut your Losses with Squentropy	Feb 8, 2023	ClassificationMulti-class Classification	—Unverified	0
Prompting for Multimodal Hateful Meme Classification	Feb 8, 2023	ClassificationHateful Meme Classification	—Unverified	0
Participatory Personalization in Classification	Feb 8, 2023	BenchmarkingClassification	—Unverified	0
AutoWS: Automated Weak Supervision Framework for Text Classification	Feb 7, 2023	Active LearningClassification	—Unverified	0
Automatic Sleep Stage Classification with Cross-modal Self-supervised Features from Deep Brain Signals	Feb 7, 2023	Automatic Sleep Stage ClassificationClassification	—Unverified	0
Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion	Feb 7, 2023	ClassificationDiversity	CodeCode Available	1
Spatial Functa: Scaling Functa to ImageNet Classification and Generation	Feb 6, 2023	ClassificationImage Generation	—Unverified	0
Personalized Interpretable Classification	Feb 6, 2023	Classification	—Unverified	0
Uncertainty-Aware Multiple-Instance Learning for Reliable Classification: Application to Optical Coherence Tomography	Feb 6, 2023	ClassificationMedical Image Analysis	—Unverified	0
Learning disentangled representations for explainable chest X-ray classification using Dirichlet VAEs	Feb 6, 2023	ClassificationMulti-Label Classification	—Unverified	0
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey	Feb 6, 2023	Activity RecognitionClassification	CodeCode Available	1
MuG: A Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields	Feb 6, 2023	Classification	CodeCode Available	1
CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets	Feb 6, 2023	Classificationimage-classification	CodeCode Available	1
Biologically inspired ChaosNet architecture for Hypothetical Protein Classification	Feb 5, 2023	Classification	—Unverified	0
Meta-Learning Siamese Network for Few-Shot Text Classification	Feb 5, 2023	ClassificationDescriptive	CodeCode Available	1
Leaving Reality to Imagination: Robust Classification via Generated Datasets	Feb 5, 2023	ClassificationRobust classification	CodeCode Available	1
CECT: Controllable Ensemble CNN and Transformer for COVID-19 Image Classification	Feb 5, 2023	ClassificationCOVID-19 Diagnosis	CodeCode Available	0
Reducing Nearest Neighbor Training Sets Optimally and Exactly	Feb 4, 2023	ClassificationPosition	—Unverified	0
TextShield: Beyond Successfully Detecting Adversarial Sentences in Text Classification	Feb 3, 2023	Adversarial AttackClassification	—Unverified	0
Hyperspectral Image Classification Using Deep Matrix Capsules	Feb 2, 2023	ClassificationEdge-computing	CodeCode Available	1
A sliced-Wasserstein distance-based approach for out-of-class-distribution detection	Feb 2, 2023	ClassificationFace Recognition	—Unverified	0
LesionAid: Vision Transformers-based Skin Lesion Generation and Classification	Feb 2, 2023	ClassificationData Augmentation	—Unverified	0
Human not in the loop: objective sample difficulty measures for Curriculum Learning	Feb 2, 2023	Classification	—Unverified	0
Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification	Feb 1, 2023	AvgClassification	CodeCode Available	0
Deep Dependency Networks for Multi-Label Classification	Feb 1, 2023	Action ClassificationClassification	—Unverified	0
Hierarchical Classification of Research Fields in the "Web of Science" Using Deep Learning	Feb 1, 2023	ArticlesClassification	—Unverified	0
Image-Based Vehicle Classification by Synergizing Features from Supervised and Self-Supervised Learning Paradigms	Feb 1, 2023	Classificationimage-classification	—Unverified	0
Stable Attribute Group Editing for Reliable Few-shot Image Generation	Feb 1, 2023	AttributeClassification	CodeCode Available	0
Graph Neural Operators for Classification of Spatial Transcriptomics Data	Feb 1, 2023	ClassificationDisentanglement	—Unverified	0
Classified as unknown: A novel Bayesian neural network	Jan 31, 2023	Bayesian InferenceBinary Classification	—Unverified	0
Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification	Jan 31, 2023	ClassificationNode Classification	CodeCode Available	0
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning	Jan 31, 2023	Classificationimage-classification	CodeCode Available	1
Addressing Deep Learning Model Calibration Using Evidential Neural Networks and Uncertainty-Aware Training	Jan 30, 2023	Classification	—Unverified	0
Lateralized Learning for Multi-Class Visual Classification Tasks	Jan 30, 2023	Classificationimage-classification	—Unverified	0
Massively Scaling Heteroscedastic Classifiers	Jan 30, 2023	ClassificationContrastive Learning	—Unverified	0
DAFD: Domain Adaptation via Feature Disentanglement for Image Classification	Jan 30, 2023	ClassificationDisentanglement	—Unverified	0
NeSyFOLD: Neurosymbolic Framework for Interpretable Image Classification	Jan 30, 2023	Classificationimage-classification	CodeCode Available	0
Standardized CycleGAN training for unsupervised stain adaptation in invasive carcinoma classification for breast histopathology	Jan 30, 2023	ClassificationData Augmentation	—Unverified	0
PhaVIP: Phage VIrion Protein classification based on chaos game representation and Vision Transformer	Jan 29, 2023	Classificationimage-classification	CodeCode Available	1
A Closer Look at Few-shot Classification Again	Jan 28, 2023	ClassificationRepresentation Learning	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