Co-occurring keywords · papers mentioning both
Papers
Towards Robust Multi-Label Learning against Dirty Label Noise
IJCAI 2024
Unbiased Multi-Label Learning from Crowdsourced Annotations
ICML 2024
WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives
IJCAI 2024
AdaBoost.C2: Boosting Classifiers Chains for Multi-Label Classification
AAAI 2023
Holistic Label Correction for Noisy Multi-Label Classification
ICCV 2023
Label Specific Multi-Semantics Metric Learning for Multi-Label Classification: Global Consideration Helps
IJCAI 2023
Scene-Aware Label Graph Learning for Multi-Label Image Classification
ICCV 2023
Towards Better Representations for Multi-Label Text Classification with Multi-granularity Information
EMNLP 2023
Boosting Multi-Label Image Classification with Complementary Parallel Self-Distillation
IJCAI 2022
Capsule Graph Neural Network for Multi-Label Image Recognition (Student Abstract)
AAAI 2022
Contrastive Learning-Enhanced Nearest Neighbor Mechanism for Multi-Label Text Classification
ACL 2022
Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning
NeurIPS 2022
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification
ICML 2022
Improving Multi-label Malevolence Detection in Dialogues through Multi-faceted Label Correlation Enhancement
ACL 2022
Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field
EMNLP 2022
PECOS: Prediction for Enormous and Correlated Output Spaces
JMLR 2022
The Emotion is Not One-hot Encoding: Learning with Grayscale Label for Emotion Recognition in Conversation
Interspeech 2022
A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning
NeurIPS 2021
Correlation-Guided Representation for Multi-Label Text Classification
IJCAI 2021
Dual Adversarial Graph Neural Networks for Multi-label Cross-modal Retrieval
AAAI 2021
HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders
AAAI 2021
Modeling Diagnostic Label Correlation for Automatic ICD Coding
NAACL 2021
Multi-label Few-shot Learning with Semantic Inference (Student Abstract)
AAAI 2021
Multitask Semi-Supervised Learning for Class-Imbalanced Discourse Classification
EMNLP 2021
Self Supervision to Distillation for Long-Tailed Visual Recognition
ICCV 2021