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 3701–3750 of 12815 papers

Title	Date	Tasks	Status	Hype
Tesla at SemEval-2022 Task 4: Patronizing and Condescending Language Detection using Transformer-based Models with Data Augmentation	Jul 1, 2022	ClassificationData Augmentation	—Unverified	0
D2GCLF: Document-to-Graph Classifier for Legal Document Classification	Jul 1, 2022	ClassificationDocument Classification	—Unverified	0
Cross-Domain Classification of Moral Values	Jul 1, 2022	Classificationdomain classification	CodeCode Available	0
YNU-HPCC at SemEval-2022 Task 6: Transformer-based Model for Intended Sarcasm Detection in English and Arabic	Jul 1, 2022	Binary ClassificationClassification	—Unverified	0
PINGAN Omini-Sinitic at SemEval-2022 Task 4: Multi-prompt Training for Patronizing and Condescending Language Detection	Jul 1, 2022	Binary ClassificationClassification	—Unverified	0
PAIC at SemEval-2022 Task 5: Multi-Modal Misogynous Detection in MEMES with Multi-Task Learning And Multi-model Fusion	Jul 1, 2022	Binary ClassificationClassification	—Unverified	0
Controllable Sentence Simplification via Operation Classification	Jul 1, 2022	ClassificationSentence	CodeCode Available	0
LingJing at SemEval-2022 Task 3: Applying DeBERTa to Lexical-level Presupposed Relation Taxonomy with Knowledge Transfer	Jul 1, 2022	Binary ClassificationClassification	CodeCode Available	0
Hitachi at SemEval-2022 Task 2: On the Effectiveness of Span-based Classification Approaches for Multilingual Idiomaticity Detection	Jul 1, 2022	ClassificationSentence	—Unverified	0
SSN_NLP_MLRG at SemEval-2022 Task 4: Ensemble Learning strategies to detect Patronizing and Condescending Language	Jul 1, 2022	ClassificationEnsemble Learning	—Unverified	0
Alternative non-BERT model choices for the textual classification in low-resource languages and environments	Jul 1, 2022	Classification	—Unverified	0
SemEval-2022 Task 4: Patronizing and Condescending Language Detection	Jul 1, 2022	Binary ClassificationBinary Condescension Detection	—Unverified	0
On Gender Biases in Offensive Language Classification Models	Jul 1, 2022	Classification	—Unverified	0
QiNiAn at SemEval-2022 Task 5: Multi-Modal Misogyny Detection and Classification	Jul 1, 2022	ClassificationMulti-Label Classification	—Unverified	0
University of Bucharest Team at Semeval-2022 Task4: Detection and Classification of Patronizing and Condescending Language	Jul 1, 2022	BIG-bench Machine LearningBinary Classification	—Unverified	0
YNU-HPCC at SemEval-2022 Task 4: Finetuning Pretrained Language Models for Patronizing and Condescending Language Detection	Jul 1, 2022	ClassificationMulti-Label Classification	—Unverified	0
Benchmarking Language-agnostic Intent Classification for Virtual Assistant Platforms	Jul 1, 2022	BenchmarkingClassification	CodeCode Available	0
Privacy Leakage in Text Classification A Data Extraction Approach	Jul 1, 2022	ClassificationMemorization	—Unverified	0
Masking Morphosyntactic Categories to Evaluate Salience for Schizophrenia Diagnosis	Jul 1, 2022	ClassificationLanguage Modeling	—Unverified	0
Leveraging Three Types of Embeddings from Masked Language Models in Idiom Token Classification	Jul 1, 2022	Classificationtoken-classification	—Unverified	0
Mitigating Learnerese Effects for CEFR Classification	Jul 1, 2022	Classification	—Unverified	0
Learning Subject-Invariant Representations from Speech-Evoked EEG Using Variational Autoencoders	Jul 1, 2022	ClassificationEEG	—Unverified	0
Data-and-Knowledge Dual-Driven Automatic Modulation Recognition for Wireless Communication Networks	Jun 30, 2022	AttributeAutomatic Modulation Recognition	—Unverified	0
Using Person Embedding to Enrich Features and Data Augmentation for Classification	Jun 30, 2022	BIG-bench Machine LearningClassification	—Unverified	0
Recovering network topology and dynamics via sequence characterization	Jun 30, 2022	BIG-bench Machine LearningClassification	—Unverified	0
Color-aware two-branch DCNN for efficient plant disease classification	Jun 30, 2022	3D Object DetectionClassification	CodeCode Available	1
Decision Tree Algorithm Considering Distances Between Classes	Jun 29, 2022	Classification	—Unverified	0
Two-Stage COVID19 Classification Using BERT Features	Jun 29, 2022	ClassificationVocal Bursts Valence Prediction	—Unverified	0
Towards a Data-Driven Requirements Engineering Approach: Automatic Analysis of User Reviews	Jun 29, 2022	ClassificationLanguage Modeling	CodeCode Available	0
Variational Quantum Approximate Support Vector Machine with Inference Transfer	Jun 29, 2022	ClassificationQuantum Machine Learning	CodeCode Available	0
Continual Learning with Transformers for Image Classification	Jun 28, 2022	ClassificationContinual Learning	—Unverified	0
Classification of ADHD Patients Using Kernel Hierarchical Extreme Learning Machine	Jun 28, 2022	ClassificationFunctional Connectivity	—Unverified	0
Modeling in higher dimensions to improve diagnostic testing accuracy: theory and examples for multiplex saliva-based SARS-CoV-2 antibody assays	Jun 28, 2022	ClassificationDiagnostic	—Unverified	0
A View Independent Classification Framework for Yoga Postures	Jun 27, 2022	ClassificationPose Estimation	—Unverified	0
Improved Text Classification via Test-Time Augmentation	Jun 27, 2022	Binary ClassificationClassification	—Unverified	0
Patch Selection for Melanoma Classification	Jun 27, 2022	Classification	—Unverified	0
A Zero-Shot Classification Approach for a Word-Guessing Challenge	Jun 27, 2022	ClassificationLanguage Modeling	—Unverified	0
Uncertainty Calibration for Deep Audio Classifiers	Jun 27, 2022	Audio ClassificationClassification	CodeCode Available	0
Kernel Attention Transformer (KAT) for Histopathology Whole Slide Image Classification	Jun 27, 2022	Classificationimage-classification	CodeCode Available	1
Structural Entropy Guided Graph Hierarchical Pooling	Jun 26, 2022	Classificationglobal-optimization	CodeCode Available	1
Low-resource Accent Classification in Geographically-proximate Settings: A Forensic and Sociophonetics Perspective	Jun 26, 2022	Accented Speech RecognitionClassification	—Unverified	0
Binary and Multinomial Classification through Evolutionary Symbolic Regression	Jun 25, 2022	Classificationregression	—Unverified	0
Protoformer: Embedding Prototypes for Transformers	Jun 25, 2022	ClassificationGeneral Classification	CodeCode Available	1
Bag of Tricks for Long-Tail Visual Recognition of Animal Species in Camera-Trap Images	Jun 24, 2022	ClassificationLong-tail Learning	CodeCode Available	0
MaskRange: A Mask-classification Model for Range-view based LiDAR Segmentation	Jun 24, 2022	ClassificationData Augmentation	—Unverified	0
Multimodal sensor data fusion for in-situ classification of animal behavior using accelerometry and GNSS data	Jun 24, 2022	Classification	CodeCode Available	0
Self Supervised Learning for Few Shot Hyperspectral Image Classification	Jun 24, 2022	ClassificationDeep Learning	—Unverified	0
Proposal and Verification of Novel Machine Learning on Classification Problems	Jun 23, 2022	BIG-bench Machine LearningClassification	—Unverified	0
Task-Adaptive Few-shot Node Classification	Jun 23, 2022	ClassificationFew-Shot Learning	CodeCode Available	1
Patient Aware Active Learning for Fine-Grained OCT Classification	Jun 23, 2022	Active LearningClassification	—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