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Multi-Label Classification

multilabel graph classification with highest result

Papers

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Showing 1–50 of 1198 papers

TitleStatusHype
Showing Many Labels in Multi-label Classification Models: An Empirical Study of Adversarial ExamplesCode5
Semantic Operators: A Declarative Model for Rich, AI-based Data ProcessingCode5
Multi-label Cluster Discrimination for Visual Representation LearningCode4
In-Context Learning for Extreme Multi-Label ClassificationCode3
Ludwig: a type-based declarative deep learning toolboxCode3
Towards Robust Multi-tab Website FingerprintingCode2
XTrack: Multimodal Training Boosts RGB-X Video Object TrackersCode2
RET-CLIP: A Retinal Image Foundation Model Pre-trained with Clinical Diagnostic ReportsCode2
VHM: Versatile and Honest Vision Language Model for Remote Sensing Image AnalysisCode2
BirdSet: A Large-Scale Dataset for Audio Classification in Avian BioacousticsCode2
Rethinking Transformers Pre-training for Multi-Spectral Satellite ImageryCode2
LawBench: Benchmarking Legal Knowledge of Large Language ModelsCode2
Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image ClassificationCode2
Deep Hierarchical Semantic SegmentationCode2
Tribuo: Machine Learning with Provenance in JavaCode2
Distribution-Free, Risk-Controlling Prediction SetsCode2
SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment AnalysisCode2
Multi-Task Learning as Multi-Objective OptimizationCode2
Reproducing and Improving CheXNet: Deep Learning for Chest X-ray Disease ClassificationCode1
On the Generalization of Representation Uncertainty in Earth ObservationCode1
Super-class guided Transformer for Zero-Shot Attribute ClassificationCode1
Interpretable Enzyme Function Prediction via Residue-Level DetectionCode1
RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype LearningCode1
Multi-label Sequential Sentence Classification via Large Language ModelCode1
Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and InterpretationCode1
Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many ClassesCode1
A Hitchhikers Guide to Fine-Grained Face Forgery Detection Using Common Sense ReasoningCode1
Efficient and Scalable Estimation of Tool Representations in Vector SpaceCode1
Legilimens: Practical and Unified Content Moderation for Large Language Model ServicesCode1
Hierarchy-aware Biased Bound Margin Loss Function for Hierarchical Text ClassificationCode1
Open-world Multi-label Text Classification with Extremely Weak SupervisionCode1
FedMLP: Federated Multi-Label Medical Image Classification under Task HeterogeneityCode1
A data-centric approach for assessing progress of Graph Neural NetworksCode1
LADI v2: Multi-label Dataset and Classifiers for Low-Altitude Disaster ImageryCode1
Adaptable and Reliable Text Classification using Large Language ModelsCode1
Pseudo-Prompt Generating in Pre-trained Vision-Language Models for Multi-Label Medical Image ClassificationCode1
BCAmirs at SemEval-2024 Task 4: Beyond Words: A Multimodal and Multilingual Exploration of Persuasion in MemesCode1
Mixture of Mixups for Multi-label Classification of Rare Anuran SoundsCode1
TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP Without TrainingCode1
Language-Guided Transformer for Federated Multi-Label ClassificationCode1
Toward Robustness in Multi-label Classification: A Data Augmentation Strategy against Imbalance and NoiseCode1
Category-Wise Fine-Tuning for Image Multi-label Classification with Partial LabelsCode1
VALUED -- Vision and Logical Understanding Evaluation DatasetCode1
DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis PredictionCode1
Instances and Labels: Hierarchy-aware Joint Supervised Contrastive Learning for Hierarchical Multi-Label Text ClassificationCode1
Weakly Supervised Semantic Segmentation by Knowledge Graph InferenceCode1
Prompt Tuned Embedding Classification for Multi-Label Industry Sector AllocationCode1
Supervised Learning and Large Language Model Benchmarks on Mental Health Datasets: Cognitive Distortions and Suicidal Risks in Chinese Social MediaCode1
GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for Multi-Label Image RecognitionCode1
Robust Asymmetric Loss for Multi-Label Long-Tailed LearningCode1
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All datasetsCheXpertMS-COCOPASCAL VOC 2007NUS-WIDEChestX-ray14OpenImages-v6PASCAL VOC 2012MLRSNetMRNetMIMIC-CXR

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CFT (ensemble) Macao Polytechnic UniversityAVERAGE AUC ON 14 LABEL0.93—Unverified
2Hierarchical-Learning-V1 (ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
3DeepAUC-v1AVERAGE AUC ON 14 LABEL0.93—Unverified
4Conditional-Training-LSRAVERAGE AUC ON 14 LABEL0.93—Unverified
5Hierarchical-Learning-V0 (ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
6Conditional-Training-LSR-V1AVERAGE AUC ON 14 LABEL0.93—Unverified
7Hierarchical-Learning-V4 (ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
8YWW(ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
9Multi-Stage-Learning-CNN-V3 (ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
10DeepCNNsGM(ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified