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 5201–5250 of 12815 papers

Title	Date	Tasks	Status	Hype
BERT based classification system for detecting rumours on Twitter	Sep 7, 2021	ClassificationMisinformation	—Unverified	0
Quantum-Classical Hybrid Machine Learning for Image Classification (ICCAD Special Session Paper)	Sep 7, 2021	BIG-bench Machine LearningClassification	—Unverified	0
Graph-Theoretic Partitioning of RNAs and Classification of Pseudoknots-II	Sep 7, 2021	Classification	—Unverified	0
CIM: Class-Irrelevant Mapping for Few-Shot Classification	Sep 7, 2021	ClassificationDictionary Learning	—Unverified	0
End-to-end Neural Information Status Classification	Sep 6, 2021	Classification	CodeCode Available	1
Improving Dietary Assessment Via Integrated Hierarchy Food Classification	Sep 6, 2021	ClassificationNutrition	—Unverified	0
CTRL-C: Camera calibration TRansformer with Line-Classification	Sep 6, 2021	Camera CalibrationClassification	CodeCode Available	1
Automated Robustness with Adversarial Training as a Post-Processing Step	Sep 6, 2021	ClassificationDeep Learning	—Unverified	0
F3: Fair and Federated Face Attribute Classification with Heterogeneous Data	Sep 6, 2021	AttributeClassification	CodeCode Available	0
Nearest Neighbour Few-Shot Learning for Cross-lingual Classification	Sep 6, 2021	ClassificationFew-Shot Learning	CodeCode Available	0
Robust Importance Sampling for Error Estimation in the Context of Optimal Bayesian Transfer Learning	Sep 5, 2021	ClassificationDecision Making	—Unverified	0
Structural Optimization Makes Graph Classification Simpler and Better	Sep 5, 2021	ClassificationGraph Classification	CodeCode Available	0
FBDNN: Filter Banks and Deep Neural Networks for Portable and Fast Brain-Computer Interfaces	Sep 5, 2021	ClassificationEEG	CodeCode Available	0
Waste Classification Algorithm	Sep 4, 2021	Classification	—Unverified	0
Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification	Sep 4, 2021	ClassificationDomain Generalization	CodeCode Available	1
Predicting Process Name from Network Data	Sep 3, 2021	BIG-bench Machine LearningClassification	—Unverified	0
MutualGraphNet: A novel model for motor imagery classification	Sep 2, 2021	ClassificationEEG	—Unverified	0
Towards Explaining STEM Document Classification using Mathematical Entity Linking	Sep 2, 2021	ClassificationDocument Classification	CodeCode Available	0
Text Classification for Predicting Multi-level Product Categories	Sep 2, 2021	Classificationtext-classification	—Unverified	0
Impact of Attention on Adversarial Robustness of Image Classification Models	Sep 2, 2021	Adversarial RobustnessClassification	—Unverified	0
Computing Graph Descriptors on Edge Streams	Sep 2, 2021	Anomaly DetectionClassification	—Unverified	0
MrSQM: Fast Time Series Classification with Symbolic Representations	Sep 2, 2021	Classificationfeature selection	CodeCode Available	1
AnANet: Modeling Association and Alignment for Cross-modal Correlation Classification	Sep 2, 2021	Classification	—Unverified	0
Better Self-training for Image Classification through Self-supervision	Sep 2, 2021	Classificationimage-classification	CodeCode Available	0
GAM: Explainable Visual Similarity and Classification via Gradient Activation Maps	Sep 2, 2021	Classification	—Unverified	0
Exploring Reliability of Gold Labels for Emotion Detection in Twitter	Sep 1, 2021	Classification	—Unverified	0
How to Obtain Reliable Labels for MBTI Classification from Texts?	Sep 1, 2021	Classification	—Unverified	0
Efficient Multilingual Text Classification for Indian Languages	Sep 1, 2021	ClassificationMultilingual text classification	—Unverified	0
Fine-tuning Neural Language Models for Multidimensional Opinion Mining of English-Maltese Social Data	Sep 1, 2021	ClassificationOpinion Mining	—Unverified	0
Application of Mix-Up Method in Document Classification Task Using BERT	Sep 1, 2021	ClassificationData Augmentation	—Unverified	0
Corpus Creation and Language Identification in Low-Resource Code-Mixed Telugu-English Text	Sep 1, 2021	ClassificationLanguage Identification	—Unverified	0
ELERRANT: Automatic Grammatical Error Type Classification for Greek	Sep 1, 2021	ClassificationVocal Bursts Type Prediction	—Unverified	0
Classification of Code-Mixed Text Using Capsule Networks	Sep 1, 2021	ClassificationXLM-R	—Unverified	0
Application of Deep Learning Methods to SNOMED CT Encoding of Clinical Texts: From Data Collection to Extreme Multi-Label Text-Based Classification	Sep 1, 2021	ClassificationData Augmentation	—Unverified	0
RED: A Novel Dataset for Romanian Emotion Detection from Tweets	Sep 1, 2021	BIG-bench Machine LearningClassification	—Unverified	0
On the Usefulness of Personality Traits in Opinion-oriented Tasks	Sep 1, 2021	Authorship VerificationClassification	—Unverified	0
Siamese Networks for Inference in Malayalam Language Texts	Sep 1, 2021	Binary ClassificationClassification	—Unverified	0
UPAppliedCL at GermEval 2021: Identifying Fact-Claiming and Engaging Facebook Comments Using Transformers	Sep 1, 2021	ClassificationEngaging Comment Classification	—Unverified	0
Universität Regensburg MaxS at GermEval 2021 Task 1: Synthetic Data in Toxic Comment Classification	Sep 1, 2021	ClassificationToxic Comment Classification	—Unverified	0
DeTox at GermEval 2021: Toxic Comment Classification	Sep 1, 2021	ClassificationToxic Comment Classification	—Unverified	0
IRCologne at GermEval 2021: Toxicity Classification	Sep 1, 2021	ClassificationLanguage Modeling	—Unverified	0
A Protection Method of Trained CNN Model Using Feature Maps Transformed With Secret Key From Unauthorized Access	Sep 1, 2021	Classification	—Unverified	0
Information-theoretic Classification Accuracy: A Criterion that Guides Data-driven Combination of Ambiguous Outcome Labels in Multi-class Classification	Sep 1, 2021	ClassificationMulti-class Classification	CodeCode Available	0
An Empirical Study on the Joint Impact of Feature Selection and Data Re-sampling on Imbalance Classification	Sep 1, 2021	ClassificationDimensionality Reduction	—Unverified	0
What Have Been Learned & What Should Be Learned? An Empirical Study of How to Selectively Augment Text for Classification	Sep 1, 2021	ClassificationText Augmentation	—Unverified	0
Wearable-based Classification of Running Styles with Deep Learning	Sep 1, 2021	ClassificationDeep Learning	—Unverified	0
Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification	Sep 1, 2021	Bayesian OptimizationClassification	CodeCode Available	1
You Only Hear Once: A YOLO-like Algorithm for Audio Segmentation and Sound Event Detection	Sep 1, 2021	ArticlesClassification	CodeCode Available	1
Under-bagging Nearest Neighbors for Imbalanced Classification	Sep 1, 2021	ClassificationEnsemble Learning	—Unverified	0
Semi-supervised Image Classification with Grad-CAM Consistency	Aug 31, 2021	Classificationimage-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