Implementation for "AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification"
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Updated
Sep 30, 2022 - Python
Implementation for "AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification"
Convolutional Neural Network based on Hierarchical Category Structure for Multi-label Short Text Categorization
A Baseline for Multi-Label Image Classification Using Ensemble Deep CNN
[ICCV 2021] Official Pytorch implementation for Discriminative Region-based Multi-Label Zero-Shot Learning SOTA results on NUS-WIDE and OpenImages
Learning to Separate Object Sounds by Watching Unlabeled Video (ECCV 2018)
[ECCV 2022] Offical implementation of the paper "Acknowledging the Unknown for Multi-label Learning with Single Positive Labels".
Official implementation of "An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition", BMVC 2022
Scalable Generative Models for Mullti-label Learning with Missing Labels
Metabolic pathway inference using multi-label classification with rich pathway features
scikit-learn compatibel multi-label classification
Tensorflow ProtoNN for Multi-label learning (supports both single/multi-gpu usage)
Metabolic pathway inference using non-negative matrix factorization with community detection
Substituting Data Annotation with Balanced Updates and Collective Loss in Multi-label Text Classification (CoLLAs 2023)
reMap: relabeling metabolic pathway data with groups to improve prediction outcomes
An easy-to-use multi-label image dataset generator.
Ensemble-based Multi-Label Neural Network (EMLNN)
leADS: improved metabolic pathway inference based on active dataset subsampling
Multi-label Image Classification using Automated Approach.
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