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".
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
A curated list of papers on multi-label learning on graphs (MLLG).
Tensorflow ProtoNN for Multi-label learning (supports both single/multi-gpu usage)
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