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multi-label classification

1004 papers

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Also known as

MLC

Co-occurring keywords

text classification (6776) emotion detection (313) transformer model (1988) large language model (12755) transfer learning (5442) attention mechanism (3975) label correlation (77) ensemble learning (1271) zero-shot learning (3637) contrastive learning (3979)

Papers

LT3 at SemEval-2018 Task 1: A classifier chain to detect emotions in tweets SEMEVAL 2018
Improving Multi-label Emotion Classification via Sentiment Classification with Dual Attention Transfer Network EMNLP 2018
The More You Know: Using Knowledge Graphs for Image Classification CVPR 2017
Label Filters for Large Scale Multilabel Classification AISTATS 2017
Semantic Regularisation for Recurrent Image Annotation CVPR 2017
SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations EMNLP 2017
Target Curricula via Selection of Minimum Feature Sets: a Case Study in Boolean Networks JMLR 2017
Binary Linear Compression for Multi-label Classification IJCAI 2017
Privileged Multi-label Learning IJCAI 2017
Making Decision Trees Feasible in Ultrahigh Feature and Label Dimensions JMLR 2017
Improving Pairwise Ranking for Multi-Label Image Classification CVPR 2017
Hard Mixtures of Experts for Large Scale Weakly Supervised Vision CVPR 2017
Attention and Localization Based on a Deep Convolutional Recurrent Model for Weakly Supervised Audio Tagging INTERSPEECH 2017
An Easy-to-hard Learning Paradigm for Multiple Classes and Multiple Labels JMLR 2017
ChestX-ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases CVPR 2017
ADAPT at IJCNLP-2017 Task 4: A Multinomial Naive Bayes Classification Approach for Customer Feedback Analysis task IJCNLP 2017
Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs ICML 2017
Noise-Clustered Distant Supervision for Relation Extraction: A Nonparametric Bayesian Perspective EMNLP 2017
Dense Distributions from Sparse Samples: Improved Gibbs Sampling Parameter Estimators for LDA JMLR 2017
Hardware-Efficient Guided Image Filtering for Multi-Label Problem CVPR 2017
Discourse Relations and Conjoined VPs: Automated Sense Recognition EACL 2017
Joint Label Inference in Networks JMLR 2017
Fast Network Embedding Enhancement via High Order Proximity Approximation IJCAI 2017
Gradient Boosted Decision Trees for High Dimensional Sparse Output ICML 2017
Learning Multi-level Region Consistency with Dense Multi-label Networks for Semantic Segmentation IJCAI 2017