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 2251–2300 of 12815 papers

Title	Date	Tasks	Status	Score
Elastic Neural Networks for Classification	Oct 1, 2018	ClassificationGeneral Classification	CodeCode Available	5
Elastic Similarity and Distance Measures for Multivariate Time Series	Feb 20, 2021	ClassificationDynamic Time Warping	CodeCode Available	5
A Simple Fusion of Deep and Shallow Learning for Acoustic Scene Classification	Jun 19, 2018	Acoustic Scene ClassificationClassification	CodeCode Available	5
A Simple Domain Shifting Networkfor Generating Low Quality Images	Jun 30, 2020	ClassificationDomain Adaptation	CodeCode Available	5
Emergent symbolic language based deep medical image classification	Aug 22, 2020	ClassificationDecision Making	CodeCode Available	5
A Simple Baseline Algorithm for Graph Classification	Oct 22, 2018	BIG-bench Machine LearningClassification	CodeCode Available	5
Efficient Video Classification Using Fewer Frames	Feb 27, 2019	ClassificationClustering	CodeCode Available	5
Efficient Structure-preserving Support Tensor Train Machine	Feb 12, 2020	Classification	CodeCode Available	5
A Simple Approach to Multilingual Polarity Classification in Twitter	Dec 15, 2016	ClassificationGeneral Classification	CodeCode Available	5
eGAN: Unsupervised approach to class imbalance using transfer learning	Apr 9, 2021	BIG-bench Machine LearningClassification	CodeCode Available	5
Efficient Sentence Embedding using Discrete Cosine Transform	Sep 6, 2019	ClassificationGeneral Classification	CodeCode Available	5
Efficient Primal-Dual Algorithms for Large-Scale Multiclass Classification	Feb 11, 2019	ClassificationGeneral Classification	CodeCode Available	5
Efficient Path Prediction for Semi-Supervised and Weakly Supervised Hierarchical Text Classification	Feb 25, 2019	ClassificationGeneral Classification	CodeCode Available	5
Efficient Policy Learning from Surrogate-Loss Classification Reductions	Feb 12, 2020	Binary ClassificationClassification	CodeCode Available	5
Efficient statistical classification of satellite measurements	Feb 10, 2012	ClassificationGeneral Classification	CodeCode Available	5
EGC2: Enhanced Graph Classification with Easy Graph Compression	Jul 16, 2021	ClassificationGraph Classification	CodeCode Available	5
Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training	Sep 12, 2018	Abusive LanguageClassification	CodeCode Available	5
Efficient Information Extraction in Few-Shot Relation Classification through Contrastive Representation Learning	Mar 25, 2024	ClassificationContrastive Learning	CodeCode Available	5
Efficient learning of large sets of locally optimal classification rules	Jan 24, 2023	Classification	CodeCode Available	5
Efficient Gender Classification Using a Deep LDA-Pruned Net	Apr 20, 2017	ClassificationGender Classification	CodeCode Available	5
Efficient Loss-Based Decoding on Graphs For Extreme Classification	Mar 8, 2018	ClassificationGeneral Classification	CodeCode Available	5
Efficient Feature Compression for Edge-Cloud Systems	Nov 17, 2022	ClassificationFeature Compression	CodeCode Available	5
A Hierarchical Neural Attention-based Text Classifier	Oct 1, 2018	ClassificationGeneral Classification	CodeCode Available	5
Efficient Classification with Counterfactual Reasoning and Active Learning	Jul 25, 2022	Active LearningClassification	CodeCode Available	5
Efficient Gaussian Process Classification Using Polya-Gamma Data Augmentation	Feb 18, 2018	ClassificationData Augmentation	CodeCode Available	5
Efficient NLP Model Finetuning via Multistage Data Filtering	Jul 28, 2022	Classificationmodel	CodeCode Available	5
A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels	Jan 3, 2019	ClassificationGeneral Classification	CodeCode Available	5
Efficient Annotator Reliability Assessment and Sample Weighting for Knowledge-Based Misinformation Detection on Social Media	Oct 18, 2024	ClassificationMisinformation	CodeCode Available	5
Efficient and accurate object detection with simultaneous classification and tracking	Jul 4, 2020	ClassificationGeneral Classification	CodeCode Available	5
Efficient Approximation Algorithms for Strings Kernel Based Sequence Classification	Dec 1, 2017	ClassificationGeneral Classification	CodeCode Available	5
Effectiveness of Pre-training for Few-shot Intent Classification	Sep 13, 2021	Classificationintent-classification	CodeCode Available	5
Dual-Encoders for Extreme Multi-Label Classification	Oct 16, 2023	ClassificationExtreme Multi-Label Classification	CodeCode Available	5
Movie Genre Classification by Language Augmentation and Shot Sampling	Mar 24, 2022	Action RecognitionBoundary Detection	CodeCode Available	5
Accurate Explanation Model for Image Classifiers using Class Association Embedding	Jun 12, 2024	ClassificationExplainable Models	CodeCode Available	5
Effectiveness of Optimization Algorithms in Deep Image Classification	Oct 4, 2021	Classificationimage-classification	CodeCode Available	5
Efficient Calisthenics Skills Classification through Foreground Instance Selection and Depth Estimation	Jul 16, 2025	ClassificationDepth Estimation	CodeCode Available	5
Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification	Jun 7, 2018	ClassificationCross-Lingual Sentiment Classification	CodeCode Available	5
Edge Learning Based Collaborative Automatic Modulation Classification for Hierarchical Cognitive Radio Networks	Jul 30, 2024	ClassificationData Compression	CodeCode Available	5
Edge Classification on Graphs: New Directions in Topological Imbalance	Jun 17, 2024	ClassificationEdge Classification	CodeCode Available	5
EdgeNet: A novel approach for Arabic numeral classification	Jul 30, 2019	ClassificationDiversity	CodeCode Available	5
A Scalable Multiclass Algorithm for Node Classification	Dec 19, 2011	ClassificationNode Classification	CodeCode Available	5
A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification	Jun 14, 2016	ClassificationGeneral Classification	CodeCode Available	5
ECG beats classification via online sparse dictionary and time pyramid matching	Aug 15, 2020	ClassificationDictionary Learning	CodeCode Available	5
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations	Nov 18, 2019	ClassificationGeneral Classification	CodeCode Available	5
ECGadv: Generating Adversarial Electrocardiogram to Misguide Arrhythmia Classification System	Jan 12, 2019	ClassificationGeneral Classification	CodeCode Available	5
ECG Beats Fast Classification Base on Sparse Dictionaries	Sep 8, 2020	ClassificationDictionary Learning	CodeCode Available	5
EEG-DG: A Multi-Source Domain Generalization Framework for Motor Imagery EEG Classification	Nov 9, 2023	Brain Computer InterfaceClassification	CodeCode Available	5
Early-Exit with Class Exclusion for Efficient Inference of Neural Networks	Sep 23, 2023	ClassificationEarly Classification	CodeCode Available	5
E2EG: End-to-End Node Classification Using Graph Topology and Text-based Node Attributes	Aug 9, 2022	ClassificationNode Classification	CodeCode Available	5
DynED: Dynamic Ensemble Diversification in Data Stream Classification	Aug 21, 2023	ClassificationDiversity	CodeCode Available	5

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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	80_divisions	precision	93.2	—	Unverified
3	60_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