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Multi-Label Classification

57 directly classified papers

Papers per year

Papers

Learning To Predict Visual Attributes in the Wild CVPR 2021
Deep Semantic Dictionary Learning for Multi-label Image Classification AAAI 2021
Recurrent Bayesian Classifier Chains for Exact Multi-Label Classification NIPS 2021
Label Disentanglement in Partition-based Extreme Multilabel Classification NIPS 2021
Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization NIPS 2021
Coherent Hierarchical Multi-Label Classification Networks NIPS 2020
A Shared Multi-Attention Framework for Multi-Label Zero-Shot Learning CVPR 2020
Orderless Recurrent Models for Multi-Label Classification CVPR 2020
Interactive Multi-Label CNN Learning With Partial Labels CVPR 2020
Multi-Label Classification with Label Graph Superimposing AAAI 2020
Incorporating Label Dependencies in Multilabel Stance Detection EMNLP 2019
Meimei: An Efficient Probabilistic Approach for Semantically Annotating Tables AAAI 2019
Multi-View Multi-Instance Multi-Label Learning Based on Collaborative Matrix Factorization AAAI 2019
Talk2Car: Taking Control of Your Self-Driving Car EMNLP 2019
Efficient Loss-Based Decoding on Graphs for Extreme Classification NIPS 2018
Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces EMNLP 2018
Evaluating Word Embeddings in Multi-label Classification Using Fine-Grained Name Typing ACL 2018
Extreme F-measure Maximization using Sparse Probability Estimates ICML 2016
Regret Bounds for Non-decomposable Metrics with Missing Labels NIPS 2016
Conditional Graphical Lasso for Multi-Label Image Classification CVPR 2016
Predtron: A Family of Online Algorithms for General Prediction Problems NIPS 2015
Consistent Multilabel Classification NIPS 2015
Embedding Inference for Structured Multilabel Prediction NIPS 2015
Joint Patch and Multi-Label Learning for Facial Action Unit Detection CVPR 2015
Ontological Supervision for Fine Grained Classification of Street View Storefronts CVPR 2015