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 2351–2400 of 12815 papers

Title	Date	Tasks	Status	Hype
Description-Enhanced Label Embedding Contrastive Learning for Text Classification	Jun 15, 2023	ClassificationContrastive Learning	CodeCode Available	0
MetricPrompt: Prompting Model as a Relevance Metric for Few-shot Text Classification	Jun 15, 2023	ClassificationFew-Shot Text Classification	CodeCode Available	1
Enlarged Large Margin Loss for Imbalanced Classification	Jun 15, 2023	Classificationimage-classification	CodeCode Available	0
Exploring Multi-Timestep Multi-Stage Diffusion Features for Hyperspectral Image Classification	Jun 15, 2023	ClassificationHyperspectral Image Classification	CodeCode Available	1
Neural models for Factual Inconsistency Classification with Explanations	Jun 15, 2023	8kClassification	CodeCode Available	0
The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks	Jun 14, 2023	16kClassification	CodeCode Available	1
A Simple and Scalable Graph Neural Network for Large Directed Graphs	Jun 14, 2023	ClassificationGraph Neural Network	CodeCode Available	0
Towards Balanced Active Learning for Multimodal Classification	Jun 14, 2023	Active LearningClassification	CodeCode Available	1
Self-supervised Learning and Graph Classification under Heterophily	Jun 14, 2023	ClassificationGraph Classification	—Unverified	0
Inductive Linear Probing for Few-shot Node Classification	Jun 14, 2023	ClassificationFew-Shot Learning	—Unverified	0
ITALIC: An Italian Intent Classification Dataset	Jun 14, 2023	Classificationintent-classification	CodeCode Available	1
Kalman Filter for Online Classification of Non-Stationary Data	Jun 14, 2023	ClassificationContinual Learning	—Unverified	0
FLamE: Few-shot Learning from Natural Language Explanations	Jun 13, 2023	ClassificationFew-Shot Learning	—Unverified	0
Automating Microservices Test Failure Analysis using Kubernetes Cluster Logs	Jun 13, 2023	Classification	—Unverified	0
Monolingual and Cross-Lingual Knowledge Transfer for Topic Classification	Jun 13, 2023	ClassificationTopic Classification	—Unverified	0
Rank-Aware Negative Training for Semi-Supervised Text Classification	Jun 13, 2023	ClassificationSemi-Supervised Text Classification	CodeCode Available	0
weighted CapsuleNet networks for Persian multi-domain sentiment analysis	Jun 12, 2023	Classificationdomain classification	—Unverified	0
Izindaba-Tindzaba: Machine learning news categorisation for Long and Short Text for isiZulu and Siswati	Jun 12, 2023	Classificationregression	CodeCode Available	0
Graph Agent Network: Empowering Nodes with Inference Capabilities for Adversarial Resilience	Jun 12, 2023	Classificationglobal-optimization	—Unverified	0
Enhancing COVID-19 Diagnosis through Vision Transformer-Based Analysis of Chest X-ray Images	Jun 12, 2023	Binary ClassificationClassification	—Unverified	0
Linear Classifier: An Often-Forgotten Baseline for Text Classification	Jun 12, 2023	Classificationtext-classification	CodeCode Available	1
Frequency-Based Vulnerability Analysis of Deep Learning Models against Image Corruptions	Jun 12, 2023	ClassificationRobust classification	CodeCode Available	0
Combining Primal and Dual Representations in Deep Restricted Kernel Machines Classifiers	Jun 12, 2023	Classification	—Unverified	0
Waffling around for Performance: Visual Classification with Random Words and Broad Concepts	Jun 12, 2023	ClassificationLanguage Modeling	CodeCode Available	1
LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability Types	Jun 12, 2023	ClassificationGraph Neural Network	CodeCode Available	1
Personality Trait Classification Using CNN-LSTM Model	Jun 11, 2023	Classificationmodel	—Unverified	0
Compositional Prototypical Networks for Few-Shot Classification	Jun 11, 2023	AttributeClassification	CodeCode Available	1
Interpretable Differencing of Machine Learning Models	Jun 10, 2023	Classification	CodeCode Available	3
TS-MoCo: Time-Series Momentum Contrast for Self-Supervised Physiological Representation Learning	Jun 10, 2023	Activity RecognitionClassification	CodeCode Available	1
Two-Stage Holistic and Contrastive Explanation of Image Classification	Jun 10, 2023	Classificationimage-classification	CodeCode Available	1
Probabilistic Multi-Dimensional Classification	Jun 10, 2023	Classification	CodeCode Available	0
Null/No Information Rate (NIR): a statistical test to assess if a classification accuracy is significant for a given problem	Jun 9, 2023	Classification	—Unverified	0
Error Feedback Can Accurately Compress Preconditioners	Jun 9, 2023	ClassificationSecond-order methods	CodeCode Available	0
WindowNet: Learnable Windows for Chest X-ray Classification	Jun 9, 2023	ClassificationDiagnostic	—Unverified	0
Virtual Node Tuning for Few-shot Node Classification	Jun 9, 2023	ClassificationGraph Representation Learning	—Unverified	0
Strategies to exploit XAI to improve classification systems	Jun 9, 2023	ClassificationDecision Making	—Unverified	0
Higher Chest X-ray Resolution Improves Classification Performance	Jun 9, 2023	Classificationimage-classification	—Unverified	0
Robust Explainer Recommendation for Time Series Classification	Jun 8, 2023	Activity RecognitionClassification	CodeCode Available	0
T3L: Translate-and-Test Transfer Learning for Cross-Lingual Text Classification	Jun 8, 2023	ClassificationCross-Lingual Transfer	CodeCode Available	0
Leveraging Language Identification to Enhance Code-Mixed Text Classification	Jun 8, 2023	ClassificationHate Speech Detection	—Unverified	0
A Melting Pot of Evolution and Learning	Jun 8, 2023	ClassificationDeep Learning	—Unverified	0
Minimizing Energy Consumption in MU-MIMO via Antenna Muting by Neural Networks with Asymmetric Loss	Jun 8, 2023	ClassificationCombinatorial Optimization	—Unverified	0
Improved statistical benchmarking of digital pathology models using pairwise frames evaluation	Jun 7, 2023	BenchmarkingClassification	—Unverified	0
A study on the impact of Self-Supervised Learning on automatic dysarthric speech assessment	Jun 7, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Modulation Classification Through Deep Learning Using Resolution Transformed Spectrograms	Jun 6, 2023	ClassificationCPU	—Unverified	0
Binary Classification with Instance and Label Dependent Label Noise	Jun 6, 2023	Binary ClassificationClassification	—Unverified	0
Quantitative Analysis of Primary Attribution Explainable Artificial Intelligence Methods for Remote Sensing Image Classification	Jun 6, 2023	ClassificationDecision Making	CodeCode Available	0
Multi-Label ECG Classification using Temporal Convolutional Neural Network	Jun 6, 2023	ClassificationECG Classification	—Unverified	0
Graph Classification Gaussian Processes via Spectral Features	Jun 6, 2023	ClassificationDecision Making	—Unverified	0
Alzheimer Disease Classification through ASR-based Transcriptions: Exploring the Impact of Punctuation and Pauses	Jun 6, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—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	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