SOTAVerified

Multi-Label Classification

multilabel graph classification with highest result

Papers

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Showing 976–1000 of 1198 papers

TitleStatusHype
Understanding Behavior of Clinical Models under Domain Shifts—0
Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised DetectionCode1
Multi-label Classification of User Reactions in Online News—0
Multi-Target Prediction: A Unifying View on Problems and Methods—0
Deep Generative Models for Weakly-Supervised Multi-Label Classification—0
Review-Driven Multi-Label Music Style Classification by Exploiting Style CorrelationsCode0
Adversarial Sampling for Active Learning—0
Joint & Progressive Learning from High-Dimensional Data for Multi-Label Classification—0
Learning Emotion-enriched Word Representations—0
Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy—0
Multi-Speaker DOA Estimation Using Deep Convolutional Networks Trained with Noise Signals—0
Recurrently Exploring Class-wise Attention in A Hybrid Convolutional and Bidirectional LSTM Network for Multi-label Aerial Image Classification—0
Learning Deep Network Representations with Adversarially Regularized AutoencodersCode0
Evaluating Word Embeddings in Multi-label Classification Using Fine-grained Name TypingCode0
Contextual Memory Trees—0
Synthetic Sampling for Multi-Class Malignancy Prediction—0
Fully Scalable Gaussian Processes using Subspace Inducing Inputs—0
Active Testing: An Efficient and Robust Framework for Estimating Accuracy—0
Hierarchical Multi-Label Classification Networks—0
Learning a Compressed Sensing Measurement Matrix via Gradient UnrollingCode0
SGM: Sequence Generation Model for Multi-label ClassificationCode0
Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations—0
On the Importance of Attention in Meta-Learning for Few-Shot Text Classification—0
Tw-StAR at SemEval-2018 Task 1: Preprocessing Impact on Multi-label Emotion Classification—0
ISCLAB at SemEval-2018 Task 1: UIR-Miner for Affect in Tweets—0
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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-V4 (ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
6YWW(ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
7Hierarchical-Learning-V0 (ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
8Conditional-Training-LSR-V1AVERAGE AUC ON 14 LABEL0.93—Unverified
9DeepCNNsGM(ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
10Multi-Stage-Learning-CNN-V3 (ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified