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Multi-Label Classification
401 directly classified papers
Papers per year
2006: 2
2009: 3
2010: 5
2011: 3
2012: 5
2013: 6
2014: 3
2015: 6
2016: 9
2017: 8
2018: 16
2019: 29
2020: 39
2021: 34
2022: 47
2023: 47
2024: 41
2025: 98
Papers
Deep Streaming Label Learning
ICML 2020
Hierarchy-Aware Global Model for Hierarchical Text Classification
ACL 2020
A Fully Hyperbolic Neural Model for Hierarchical Multi-Class Classification
EMNLP 2020
Layer-wise Guided Training for BERT: Learning Incrementally Refined Document Representations
EMNLP 2020
Predicting Typological Features in WALS using Language Embeddings and Conditional Probabilities: ÚFAL Submission to the SIGTYP 2020 Shared Task
EMNLP 2020
GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment Analysis
EMNLP 2020
Multilabel reductions: what is my loss optimising?
NIPS 2019
DSINE: Deep Structural Influence Learning via Network Embedding
AAAI 2019
Hierarchical Classification Based on Label Distribution Learning
AAAI 2019
Learning Compact Model for Large-Scale Multi-Label Data
AAAI 2019
Distributional Semantics Meets Multi-Label Learning
AAAI 2019
Collaboration Based Multi-Label Learning
AAAI 2019
A Sequential Set Generation Method for Predicting Set-Valued Outputs
AAAI 2019
Weakly Supervised Image Classification Through Noise Regularization
CVPR 2019
AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification
NIPS 2019
Structured Prediction with Projection Oracles
NIPS 2019
Extreme Multi-Label Legal Text Classification: A Case Study in EU Legislation
NAACL 2019
SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter
SEMEVAL 2019
Ontological attention ensembles for capturing semantic concepts in ICD code prediction from clinical text
EMNLP 2019
Leveraging Hierarchical Category Knowledge for Data-Imbalanced Multi-Label Diagnostic Text Understanding
EMNLP 2019
Deep Learning with a Rethinking Structure for Multi-label Classification
ACML 2019
LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning
CVPR 2019
Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification
EMNLP 2019
An Attentive Fine-Grained Entity Typing Model with Latent Type Representation
EMNLP 2019
Incorporating Label Dependencies in Multilabel Stance Detection
EMNLP 2019
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