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 4251–4300 of 12815 papers

Title	Date	Tasks	Status
A New Public Corpus for Clinical Section Identification: MedSecId	Oct 1, 2022	ClassificationClinical Section Identification	CodeCode Available
Multi-label Classification of Scientific Research Documents Across Domains and Languages	Oct 1, 2022	ClassificationMulti-Label Classification	—Unverified
Dependency-aware Prototype Learning for Few-shot Relation Classification	Oct 1, 2022	ClassificationFew-Shot Relation Classification	CodeCode Available
Hierarchical Neyman-Pearson Classification for Prioritizing Severe Disease Categories in COVID-19 Patient Data	Oct 1, 2022	Binary ClassificationClassification	—Unverified
Noise Learning for Text Classification: A Benchmark	Oct 1, 2022	Classificationtext-classification	—Unverified
John_Snow_Labs@SMM4H’22: Social Media Mining for Health (#SMM4H) with Spark NLP	Oct 1, 2022	ClassificationGPU	—Unverified
Benchmark for Research Theme Classification of Scholarly Documents	Oct 1, 2022	ClassificationGraph Generation	CodeCode Available
Leveraging Semantic and Sentiment Knowledge for User-Generated Text Sentiment Classification	Oct 1, 2022	ClassificationDecision Making	—Unverified
UB Health Miners@SMM4H’22: Exploring Pre-processing Techniques To Classify Tweets Using Transformer Based Pipelines.	Oct 1, 2022	Binary ClassificationClassification	—Unverified
UCCNLP@SMM4H’22:Label distribution aware long-tailed learning with post-hoc posterior calibration applied to text classification	Oct 1, 2022	Classificationtext-classification	—Unverified
Unsupervised Data Augmentation for Aspect Based Sentiment Analysis	Oct 1, 2022	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified
Making Parameter-efficient Tuning More Efficient: A Unified Framework for Classification Tasks	Oct 1, 2022	ClassificationLanguage Modeling	CodeCode Available
To the Most Gracious Highness, from Your Humble Servant: Analysing Swedish 18th Century Petitions Using Text Classification	Oct 1, 2022	ClassificationFeature Importance	—Unverified
A multi-level approach for hierarchical Ticket Classification	Oct 1, 2022	ClassificationWord Embeddings	—Unverified
SPACL: Shared-Private Architecture based on Contrastive Learning for Multi-domain Text Classification	Oct 1, 2022	ClassificationContrastive Learning	—Unverified
Is Encoder-Decoder Transformer the Shiny Hammer?	Oct 1, 2022	ClassificationDecoder	—Unverified
Complicate Then Simplify: A Novel Way to Explore Pre-trained Models for Text Classification	Oct 1, 2022	ClassificationSentence	—Unverified
Edinburgh_UCL_Health@SMM4H’22: From Glove to Flair for handling imbalanced healthcare corpora related to Adverse Drug Events, Change in medication and self-reporting vaccination	Oct 1, 2022	Classification	—Unverified
MaNLP@SMM4H’22: BERT for Classification of Twitter Posts	Oct 1, 2022	Binary ClassificationClassification	—Unverified
Visual Prompt Tuning for Few-Shot Text Classification	Oct 1, 2022	ClassificationFew-Shot Learning	—Unverified
Innovators@SMM4H’22: An Ensembles Approach for Stance and Premise Classification of COVID-19 Health Mandates Tweets	Oct 1, 2022	ClassificationStance Detection	—Unverified
E-VarM: Enhanced Variational Word Masks to Improve the Interpretability of Text Classification Models	Oct 1, 2022	ClassificationContrastive Learning	—Unverified
Enolp musk@SMM4H’22 : Leveraging Pre-trained Language Models for Stance And Premise Classification	Oct 1, 2022	ClassificationDependency Parsing	CodeCode Available
Sentence-aware Adversarial Meta-Learning for Few-Shot Text Classification	Oct 1, 2022	ClassificationFew-Shot Text Classification	—Unverified
Span Extraction Aided Improved Code-mixed Sentiment Classification	Oct 1, 2022	ClassificationMulti-Task Learning	CodeCode Available
Linguistically Motivated Features for Classifying Shorter Text into Fiction and Non-Fiction Genre	Oct 1, 2022	ClassificationPOS	CodeCode Available
Citation Context Classification: Critical vs Non-critical	Oct 1, 2022	Classification	—Unverified
CIC NLP at SMM4H 2022: a BERT-based approach for classification of social media forum posts	Oct 1, 2022	Classification	—Unverified
Label distributions help implicit discourse relation classification	Oct 1, 2022	ClassificationImplicit Discourse Relation Classification	CodeCode Available
CETA: A Consensus Enhanced Training Approach for Denoising in Distantly Supervised Relation Extraction	Oct 1, 2022	ClassificationDenoising	CodeCode Available
Traffic Sign Classification Using Deep and Quantum Neural Networks	Sep 30, 2022	ClassificationTraffic Sign Recognition	—Unverified
Verifiable and Energy Efficient Medical Image Analysis with Quantised Self-attentive Deep Neural Networks	Sep 30, 2022	ClassificationMedical Image Analysis	CodeCode Available
A Multi-label Time Series Classification Approach for Non-intrusive Water End-Use Monitoring	Sep 30, 2022	ClassificationMulti-Label Classification	—Unverified
R2C-GAN: Restore-to-Classify Generative Adversarial Networks for Blind X-Ray Restoration and COVID-19 Classification	Sep 29, 2022	ClassificationDeblurring	CodeCode Available
Dataset Complexity Assessment Based on Cumulative Maximum Scaled Area Under Laplacian Spectrum	Sep 29, 2022	Classification	—Unverified
Few-shot Text Classification with Dual Contrastive Consistency	Sep 29, 2022	ClassificationContrastive Learning	—Unverified
RECALL: Rehearsal-free Continual Learning for Object Classification	Sep 29, 2022	ClassificationContinual Learning	CodeCode Available
Reinforcement Learning Algorithms: An Overview and Classification	Sep 29, 2022	Classificationreinforcement-learning	—Unverified
Data Augmentation using Feature Generation for Volumetric Medical Images	Sep 28, 2022	ClassificationData Augmentation	—Unverified
Hierarchical MixUp Multi-label Classification with Imbalanced Interdisciplinary Research Proposals	Sep 28, 2022	ClassificationMulti-Label Classification	—Unverified
Explainable classification of astronomical uncertain time series	Sep 28, 2022	ClassificationTime Series	—Unverified
Supervised Class-pairwise NMF for Data Representation and Classification	Sep 28, 2022	Classification	—Unverified
Dense-TNT: Efficient Vehicle Type Classification Neural Network Using Satellite Imagery	Sep 27, 2022	ClassificationVocal Bursts Type Prediction	—Unverified
Automated Sex Classification of Children's Voices and Changes in Differentiating Factors with Age	Sep 27, 2022	Classification	—Unverified
Source detection via multi-label classification	Sep 27, 2022	ClassificationMulti-class Classification	CodeCode Available
Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification	Sep 27, 2022	ClassificationDeep Learning	—Unverified
Impact of Feedback Type on Explanatory Interactive Learning	Sep 26, 2022	Classificationimage-classification	—Unverified
Lex2Sent: A bagging approach to unsupervised sentiment analysis	Sep 26, 2022	ClassificationDecoder	CodeCode Available
Cross-lingual Dysarthria Severity Classification for English, Korean, and Tamil	Sep 26, 2022	Classificationfeature selection	—Unverified
Habitat classification from satellite observations with sparse annotations	Sep 26, 2022	ClassificationLand Cover Classification	—Unverified

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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