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 5101–5150 of 12815 papers

Title	Date	Tasks	Status	Hype
Deep Inverse Reinforcement Learning via Adversarial One-Class Classification	Sep 29, 2021	ClassificationOne-Class Classification	—Unverified	0
Dataset Bias Prediction for Few-Shot Image Classification	Sep 29, 2021	ClassificationFew-Shot Image Classification	—Unverified	0
Model-Efficient Deep Learning with Kernelized Classification	Sep 29, 2021	ClassificationDeep Learning	—Unverified	0
FedBABU: Toward Enhanced Representation for Federated Image Classification	Sep 29, 2021	ClassificationFederated Learning	—Unverified	0
G-Mixup: Graph Augmentation for Graph Classification	Sep 29, 2021	ClassificationGraph Classification	—Unverified	0
Asymmetry Learning for Counterfactually-invariant Classification in OOD Tasks	Sep 29, 2021	Classification	—Unverified	0
Benchmarking Machine Learning Robustness in Covid-19 Spike Sequence Classification	Sep 29, 2021	BenchmarkingBIG-bench Machine Learning	—Unverified	0
W-CTC: a Connectionist Temporal Classification Loss with Wild Cards	Sep 29, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Where is the bottleneck in long-tailed classification?	Sep 29, 2021	ClassificationData Augmentation	—Unverified	0
Noise-Contrastive Variational Information Bottleneck Networks	Sep 29, 2021	Classificationimage-classification	—Unverified	0
Rank4Class: Examining Multiclass Classification through the Lens of Learning to Rank	Sep 29, 2021	Classificationimage-classification	—Unverified	0
Development of an autism screening classification model for toddlers	Sep 29, 2021	BIG-bench Machine LearningClassification	—Unverified	0
Convolution-Free Waveform Transformers for Multi-Lead ECG Classification	Sep 29, 2021	ClassificationECG Classification	—Unverified	0
Multi-loss ensemble deep learning for chest X-ray classification	Sep 29, 2021	ClassificationDeep Learning	—Unverified	0
Classifying Tweet Sentiment Using the Hidden State and Attention Matrix of a Fine-tuned BERTweet Model	Sep 29, 2021	ClassificationSentiment Analysis	—Unverified	0
Error rate control for classification rules in multiclass mixture models	Sep 29, 2021	ClassificationVocal Bursts Type Prediction	—Unverified	0
Can multi-label classification networks know what they don't know?	Sep 29, 2021	ClassificationMulti-class Classification	CodeCode Available	1
Three-Stream 3D/1D CNN for Fine-Grained Action Classification and Segmentation in Table Tennis	Sep 29, 2021	Action ClassificationClassification	CodeCode Available	1
RAFT: A Real-World Few-Shot Text Classification Benchmark	Sep 28, 2021	ClassificationFew-Shot Learning	CodeCode Available	1
How Much Data Analytics is Enough? The ROI of Machine Learning Classification and its Application to Requirements Dependency Classification	Sep 28, 2021	ClassificationDecision Making	—Unverified	0
Multilingual Counter Narrative Type Classification	Sep 28, 2021	ClassificationVocal Bursts Type Prediction	CodeCode Available	0
Improving Time Series Classification Algorithms Using Octave-Convolutional Layers	Sep 28, 2021	ClassificationTime Series	—Unverified	0
Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets	Sep 28, 2021	ClassificationTime Series	CodeCode Available	1
Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health	Sep 28, 2021	Classification	CodeCode Available	1
A Contrastive Learning Approach to Auroral Identification and Classification	Sep 28, 2021	ClassificationContrastive Learning	—Unverified	0
A Strong Baseline for the VIPriors Data-Efficient Image Classification Challenge	Sep 28, 2021	Classificationimage-classification	—Unverified	0
Exploring Teacher-Student Learning Approach for Multi-lingual Speech-to-Intent Classification	Sep 28, 2021	Classificationintent-classification	—Unverified	0
Turning old models fashion again: Recycling classical CNN networks using the Lattice Transformation	Sep 28, 2021	Classificationimage-classification	—Unverified	0
When in Doubt: Improving Classification Performance with Alternating Normalization	Sep 28, 2021	Classification	CodeCode Available	1
Knowledge-Aware Neural Networks for Medical Forum Question Classification	Sep 27, 2021	Classification	CodeCode Available	0
Challenging the Semi-Supervised VAE Framework for Text Classification	Sep 27, 2021	Classificationtext-classification	CodeCode Available	0
Disentangled Feature Representation for Few-shot Image Classification	Sep 26, 2021	BenchmarkingClassification	CodeCode Available	1
Contrastive Unpaired Translation using Focal Loss for Patch Classification	Sep 25, 2021	ClassificationImage-to-Image Translation	—Unverified	0
An embarrassingly simple comparison of machine learning algorithms for indoor scene classification	Sep 25, 2021	BIG-bench Machine LearningClassification	CodeCode Available	0
On the Fairness of Swarm Learning in Skin Lesion Classification	Sep 24, 2021	ClassificationEdge-computing	—Unverified	0
Tackling Inter-Class Similarity and Intra-Class Variance for Microscopic Image-based Classification	Sep 24, 2021	Classification	—Unverified	0
Description-based Label Attention Classifier for Explainable ICD-9 Classification	Sep 24, 2021	Classification	—Unverified	0
From images in the wild to video-informed image classification	Sep 24, 2021	Classificationimage-classification	—Unverified	0
IRMAC: Interpretable Refined Motifs in Binary Classification for Smart Grid Applications	Sep 23, 2021	Binary ClassificationClassification	—Unverified	0
Text Ranking and Classification using Data Compression	Sep 23, 2021	ClassificationData Compression	CodeCode Available	0
Named Entity Recognition and Classification on Historical Documents: A Survey	Sep 23, 2021	Classificationnamed-entity-recognition	CodeCode Available	1
Unbiased Loss Functions for Multilabel Classification with Missing Labels	Sep 23, 2021	ArticlesClassification	—Unverified	0
POINTVIEW-GCN: 3D SHAPE CLASSIFICATION WITH MULTI-VIEW POINT CLOUDS	Sep 22, 2021	3D Point Cloud Classification3D Shape Classification	CodeCode Available	1
3N-GAN: Semi-Supervised Classification of X-Ray Images with a 3-Player Adversarial Framework	Sep 22, 2021	Classification	—Unverified	0
Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data	Sep 22, 2021	Classificationtext-classification	—Unverified	0
BFClass: A Backdoor-free Text Classification Framework	Sep 22, 2021	Backdoor AttackClassification	—Unverified	0
Sharp Analysis of Random Fourier Features in Classification	Sep 22, 2021	Classification	—Unverified	0
Introduce the Result Into Self-Attention	Sep 21, 2021	Classification	—Unverified	0
Towards the Classification of Error-Related Potentials using Riemannian Geometry	Sep 21, 2021	ClassificationEEG	—Unverified	0
Classification with Nearest Disjoint Centroids	Sep 21, 2021	Classificationfeature selection	—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