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".

Graph Neural networks for NLP

AG2E: A novel adaptive graph based multi-label learning framework for multi-label annotation, image retrieval, and other applications.

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

Advanced Machine Learning Algorithms including Cost-Sensitive Learning, Class Imbalances, Multi-Label Data, Multi-Instance Learning, Active Learning, Multi-Relational Data Mining, Interpretability in Python using Scikit-Learn.

Deep Region and Multi-label Learning for Facial Action Unit Detection

Self-Paced Multi-Label Learning with Diversity

The Mulan Framework with Multi-Label Resampling Algorithms

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)

A curated list of papers on multi-label learning on graphs (MLLG).

code of LSGL