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Papers
ICXML: An In-Context Learning Framework for Zero-Shot Extreme Multi-Label Classification
NAACL 2024
Multi-stage Retrieve and Re-rank Model for Automatic Medical Coding Recommendation
NAACL 2024
Scalable Patent Classification with Aggregated Multi-View Ranking
COLING 2024
Enhancing Extreme Multi-Label Text Classification: Addressing Challenges in Model, Data, and Evaluation
EMNLP 2023
A Worst Case Analysis of Calibrated Label Ranking Multi-label Classification Method
JMLR 2022
Label Ranking through Nonparametric Regression
ICML 2022
Linear Label Ranking with Bounded Noise
NeurIPS 2022
OTSeq2Set: An Optimal Transport Enhanced Sequence-to-Set Model for Extreme Multi-label Text Classification
EMNLP 2022
Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification
NeurIPS 2021
LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification
AAAI 2021
A Multiclass Classification Approach to Label Ranking
AISTATS 2020
Learning Compact Model for Large-Scale Multi-Label Data
AAAI 2019
Partial Multi-Label Learning via Credible Label Elicitation
AAAI 2019
Structured Prediction with Projection Oracles
NeurIPS 2019
A Structured Prediction Approach for Label Ranking
NeurIPS 2018
Does Tail Label Help for Large-Scale Multi-Label Learning
IJCAI 2018
Active Preference-Based Learning of Reward Functions
RSS 2017
A Unified View of Multi-Label Performance Measures
ICML 2017
Multi-Label Ranking From Positive and Unlabeled Data
CVPR 2016
Interval Insensitive Loss for Ordinal Classification
ACML 2014
A Composite Likelihood View for Multi-Label Classification
AISTATS 2012
Label Ranking with Partial Abstention based on Thresholded Probabilistic Models
NeurIPS 2012
MULAN: A Java Library for Multi-Label Learning
JMLR 2011
Efficient Learning of Label Ranking by Soft Projections onto Polyhedra
JMLR 2006