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 2801–2850 of 12815 papers

Title	Date	Tasks	Status	Hype
GraphSR: A Data Augmentation Algorithm for Imbalanced Node Classification	Feb 24, 2023	ClassificationData Augmentation	—Unverified	0
A Machine Learning Approach for Hierarchical Classification of Software Requirements	Feb 24, 2023	Classificationfeature selection	—Unverified	0
Video4MRI: An Empirical Study on Brain Magnetic Resonance Image Analytics with CNN-based Video Classification Frameworks	Feb 24, 2023	ClassificationData Augmentation	—Unverified	0
An Iterative Classification and Semantic Segmentation Network for Old Landslide Detection Using High-Resolution Remote Sensing Images	Feb 24, 2023	ClassificationContrastive Learning	—Unverified	0
Small Sample Hyperspectral Image Classification Based on the Random Patches Network and Recursive Filtering	Feb 23, 2023	ClassificationDimensionality Reduction	CodeCode Available	0
Fundamental Bounds on Online Strategic Classification	Feb 23, 2023	Binary ClassificationClassification	—Unverified	0
FG-SSA: Features Gradient-based Signals Selection Algorithm of Linear Complexity for Convolutional Neural Networks	Feb 23, 2023	Activity RecognitionClassification	—Unverified	0
Fact or Artifact? Revise Layer-wise Relevance Propagation on various ANN Architectures	Feb 23, 2023	AttributeClassification	—Unverified	0
StudyFormer : Attention-Based and Dynamic Multi View Classifier for X-ray images	Feb 23, 2023	Classificationimage-classification	—Unverified	0
Solution for the EPO CodeFest on Green Plastics: Hierarchical multi-label classification of patents relating to green plastics using deep learning	Feb 22, 2023	ClassificationHierarchical Multi-label Classification	CodeCode Available	0
MM-SFENet: Multi-scale Multi-task Localization and Classification of Bladder Cancer in MRI with Spatial Feature Encoder Network	Feb 22, 2023	ClassificationMulti-Task Learning	—Unverified	0
Use Cases for Time-Frequency Image Representations and Deep Learning Techniques for Improved Signal Classification	Feb 22, 2023	ClassificationDeep Learning	—Unverified	0
Neural-based classification rule learning for sequential data	Feb 22, 2023	Binary ClassificationClassification	—Unverified	0
A Generalized Weighted Loss for SVC and MLP	Feb 22, 2023	Binary ClassificationClassification	—Unverified	0
S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification	Feb 22, 2023	3D Point Cloud ClassificationClassification	—Unverified	0
Structure Embedded Nucleus Classification for Histopathology Images	Feb 22, 2023	ClassificationGraph Neural Network	—Unverified	0
A Gradient Boosting Approach for Training Convolutional and Deep Neural Networks	Feb 22, 2023	Classificationimage-classification	CodeCode Available	0
Diffusion Probabilistic Models for Structured Node Classification	Feb 21, 2023	ClassificationNode Classification	—Unverified	0
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels	Feb 21, 2023	Classification	CodeCode Available	3
MVMTnet: A Multi-variate Multi-modal Transformer for Multi-class Classification of Cardiac Irregularities Using ECG Waveforms and Clinical Notes	Feb 21, 2023	Binary ClassificationClassification	CodeCode Available	1
Analysis of Real-Time Hostile Activitiy Detection from Spatiotemporal Features Using Time Distributed Deep CNNs, RNNs and Attention-Based Mechanisms	Feb 21, 2023	Action RecognitionClassification	—Unverified	0
FedST: Secure Federated Shapelet Transformation for Time Series Classification	Feb 21, 2023	ClassificationFederated Learning	—Unverified	0
Classy Ensemble: A Novel Ensemble Algorithm for Classification	Feb 21, 2023	ClassificationClustering	CodeCode Available	0
Mask-guided BERT for Few Shot Text Classification	Feb 21, 2023	ClassificationContrastive Learning	—Unverified	0
Toward Asymptotic Optimality: Sequential Unsupervised Regression of Density Ratio for Early Classification	Feb 20, 2023	ClassificationDensity Ratio Estimation	CodeCode Available	0
Hashtag-Guided Low-Resource Tweet Classification	Feb 20, 2023	ClassificationSentiment Analysis	CodeCode Available	0
Model-based feature selection for neural networks: A mixed-integer programming approach	Feb 20, 2023	Classificationfeature selection	—Unverified	0
Boosting classification reliability of NLP transformer models in the long run	Feb 20, 2023	Classification	—Unverified	0
Towards Universal Fake Image Detectors that Generalize Across Generative Models	Feb 20, 2023	ClassificationLanguage Modeling	CodeCode Available	2
SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification	Feb 19, 2023	ClassificationFairness	—Unverified	0
Fixflow: A Framework to Evaluate Fixed-point Arithmetic in Light-Weight CNN Inference	Feb 19, 2023	ClassificationQuantization	—Unverified	0
Deep Selector-JPEG: Adaptive JPEG Image Compression for Computer Vision in Image classification with Human Vision Criteria	Feb 19, 2023	Classificationimage-classification	—Unverified	0
Sleep Model -- A Sequence Model for Predicting the Next Sleep Stage	Feb 17, 2023	ClassificationEEG	—Unverified	0
Cluster-Guided Label Generation in Extreme Multi-Label Classification	Feb 17, 2023	ClassificationExtreme Multi-Label Classification	CodeCode Available	1
Like a Good Nearest Neighbor: Practical Content Moderation and Text Classification	Feb 17, 2023	ClassificationContrastive Learning	CodeCode Available	1
Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning	Feb 17, 2023	ClassificationCPU	CodeCode Available	1
LabelPrompt: Effective Prompt-based Learning for Relation Classification	Feb 16, 2023	ClassificationContrastive Learning	—Unverified	0
WHC: Weighted Hybrid Criterion for Filter Pruning on Convolutional Neural Networks	Feb 16, 2023	ClassificationNetwork Pruning	CodeCode Available	0
ClaPIM: Scalable Sequence CLAssification using Processing-In-Memory	Feb 16, 2023	ClassificationDrug Design	CodeCode Available	0
From Graph Generation to Graph Classification	Feb 15, 2023	ClassificationGraph Classification	—Unverified	0
Quantum Learning Theory Beyond Batch Binary Classification	Feb 15, 2023	Binary ClassificationClassification	—Unverified	0
Cyber-Physical Power System Layers: Classification, Characterization, and Interactions	Feb 14, 2023	Classification	—Unverified	0
SpeckleNN: A unified embedding for real-time speckle pattern classification in X-ray single-particle imaging with limited labeled examples	Feb 14, 2023	Classification	CodeCode Available	0
On Classification-Calibration of Gamma-Phi Losses	Feb 14, 2023	Classification	—Unverified	0
Semantic Feature Integration network for Fine-grained Visual Classification	Feb 13, 2023	ClassificationFine-Grained Image Classification	—Unverified	0
Fine-Grained Visual Classification via Internal Ensemble Learning Transformer	Feb 13, 2023	ClassificationEnsemble Learning	CodeCode Available	1
Bag of Tricks for In-Distribution Calibration of Pretrained Transformers	Feb 13, 2023	ClassificationData Augmentation	CodeCode Available	0
A Novel Poisoned Water Detection Method Using Smartphone Embedded Wi-Fi Technology and Machine Learning Algorithms	Feb 13, 2023	Classification	CodeCode Available	0
Identifying Semantically Difficult Samples to Improve Text Classification	Feb 13, 2023	Classificationtext-classification	—Unverified	0
How to Use Dropout Correctly on Residual Networks with Batch Normalization	Feb 13, 2023	ClassificationFine-Grained Image Classification	CodeCode Available	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