Skip to content
conftrace_

label correlation

87 papers

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