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GitHub topics: multi-label-learning

cwangrun/CIPL

[TMI 2025] Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation

Language: Python - Size: 1020 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

muberraozmen/BNCL

Substituting Data Annotation with Balanced Updates and Collective Loss in Multi-label Text Classification (CoLLAs 2023)

Language: Python - Size: 129 KB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Correr-Zhou/SPML-AckTheUnknown

[ECCV 2022] Offical implementation of the paper "Acknowledging the Unknown for Multi-label Learning with Single Positive Labels".

Language: Python - Size: 31.7 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 42 - Forks: 2

kiyoon/verb_ambiguity

Official implementation of "An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition", BMVC 2022

Language: Python - Size: 1.07 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 0

ml-lab-sau/BT-MA

BT-MA is a Multi-label Machine learning model

Size: 3.91 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

monk1337/Graph-Neural-networks-for-NLP

Graph Neural networks for NLP

Size: 618 KB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 26 - Forks: 5

YuanchenBei/Awesome-Multi-Label-Learning-On-Graphs

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

Size: 11.7 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

hallamlab/mlLGPR

Metabolic pathway inference using multi-label classification with rich pathway features

Language: Python - Size: 1.56 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 5 - Forks: 0

ml-lab-sau/Multi-label-learning-with-missing-labels-using-sparse-global-structure-for-label-specific-features

To deal with the issues emerging from incomplete labels and high-dimensional input space, we propose a multi-label learning approach based on identifying the label-specific features and constraining them with a sparse global structure. The sparse structural constraint helps maintain the typical characteristics of the multi-label learning data.

Language: MATLAB - Size: 1.74 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ml-lab-sau/Auxiliary-Label-Embedding-for-Multi-label-Learning-with-Missing-Labels

In this paper, we propose an approach for multi-label classification when label details are incomplete by learning auxiliary label matrix from the observed labels, and generating an embedding from learnt label correlations preserving the correlation structure in model coefficients.

Language: MATLAB - Size: 1.74 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ml-lab-sau/Discriminatory-Label-specific-Weights-for-Multi-label-Learning-with-Missing-Labels

To deal with the class imbalance problem in multi-label learning with missing labels, we propose Class Imbalance aware Missing labels Multi-label Learning, CIMML. Our proposed method handles class imbalance issue by constructing a label weight matrix with weight estimation guided by how frequently a label is present, absent, and unobserved.

Language: MATLAB - Size: 32.3 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

h-ehsan/EMLNN

Ensemble-based Multi-Label Neural Network (EMLNN)

Language: Python - Size: 18.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Lxinyuelxy/multi-label-learn

Language: Python - Size: 4.06 MB - Last synced at: 10 months ago - Pushed at: almost 7 years ago - Stars: 6 - Forks: 4

KouYinan/LECA

feature selection

Language: MATLAB - Size: 60.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

yourh/AttentionXML

Implementation for "AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification"

Language: Python - Size: 26.4 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 233 - Forks: 39

ShimShim46/HFT-CNN

Convolutional Neural Network based on Hierarchical Category Structure for Multi-label Short Text Categorization

Language: Python - Size: 2.72 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 111 - Forks: 25

JoshWarn/Multi-Label-Shapes-Toy-Dataset-Generator

An easy-to-use multi-label image dataset generator.

Language: Python - Size: 103 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ChristianSch/skml 📦

scikit-learn compatibel multi-label classification

Language: Python - Size: 3.24 MB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 6 - Forks: 3

amjadseyedi/SPMLD

Self-Paced Multi-Label Learning with Diversity

Language: MATLAB - Size: 5.18 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 4

zhaodwahu/LSGL

code of LSGL

Language: MATLAB - Size: 12 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

hellowangqian/multi-label-image-classification

A Baseline for Multi-Label Image Classification Using Ensemble Deep CNN

Language: Python - Size: 1.09 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 77 - Forks: 21

akshitac8/BiAM

[ICCV 2021] Official Pytorch implementation for Discriminative Region-based Multi-Label Zero-Shot Learning SOTA results on NUS-WIDE and OpenImages

Language: Python - Size: 28.2 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 55 - Forks: 10

kochlisGit/Advanced-ML

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.

Language: Jupyter Notebook - Size: 166 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 6 - Forks: 2

wanglichenxj/Adaptive-Graph-Guided-Embedding-for-Multi-label-Annotation

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

Language: MATLAB - Size: 39.1 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 19 - Forks: 8

rhgao/Deep-MIML-Network

Learning to Separate Object Sounds by Watching Unlabeled Video (ECCV 2018)

Language: Python - Size: 18.6 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 50 - Forks: 12

KerryDRX/Facial-Expression-Recognition-with-Label-Distribution-Learning

A research project to investigate the advantages of label distribution learning for facial expression recognition.

Language: HTML - Size: 23.5 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

nirbhayjm/GenEML

Scalable Generative Models for Mullti-label Learning with Missing Labels

Language: Python - Size: 49.8 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 10 - Forks: 1

JiaWu-Repository/MSFS Fork of ZhangYongshan/MSFS

[IEEE Transactions on Multimedia 2020] Multi-View Multi-Label Learning With Sparse Feature Selection for Image Annotation

Size: 6.84 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

rodolfomp123/imb-mulan

The Mulan Framework with Multi-Label Resampling Algorithms

Language: HTML - Size: 19 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 3

hallamlab/leADS

leADS: improved metabolic pathway inference based on active dataset subsampling

Language: Python - Size: 5.45 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

saisrivatsan/tf-protoNN

Tensorflow ProtoNN for Multi-label learning (supports both single/multi-gpu usage)

Language: Python - Size: 63 MB - Last synced at: 6 months ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 0

hallamlab/reMap

reMap: relabeling metabolic pathway data with groups to improve prediction outcomes

Language: Python - Size: 1.26 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

arbasher/straSplit

Stratification of multi-label datasets

Language: HTML - Size: 66.4 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

hallamlab/triUMPF

Metabolic pathway inference using non-negative matrix factorization with community detection

Language: Python - Size: 2.42 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

Sagnik07/CraftML-An-Efficient-Clustering-based-Random-Forest-for-Extreme-Multi-label-Learning.

We explore extreme multi label learning using a random forest based algorithm. The parallelized implementation uses a K-Means clustering based partitioning approach to improve performance.

Language: Jupyter Notebook - Size: 25.3 MB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

PranjalSahu/DRML

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

Language: Jupyter Notebook - Size: 11.7 KB - Last synced at: 28 days ago - Pushed at: about 8 years ago - Stars: 9 - Forks: 2

Related Keywords
multi-label-learning 36 multi-label-classification 12 machine-learning 8 multi-label 5 biocyc 4 bioinformatics 4 metacyc 4 multi-label-imbalance 4 metagenomics 3 multi-label-image-classification 3 metabolic-pathways 3 tensorflow 3 pytorch 3 missing-labels 3 convolutional-neural-networks 3 class-imbalance 3 feature-selection 2 pathway-prediction 2 graph-neural-networks 2 pathway-tools 2 multi-label-problem 2 python 2 community-detection 2 scikit-learn 2 weakly-supervised-learning 2 active-learning 2 multilabel 2 machine-learning-algorithms 2 semi-supervised-learning 2 pandas 2 computer-vision 2 numpy 2 deep-learning 2 imbalanced-learning 1 imbalanceness 1 multi-view-learning 1 data-imbalance 1 imb-mulan 1 imbalance-classification 1 imbalanced-data 1 cost-sensitive-learning 1 interpretability 1 multi-instance-learning 1 multi-relational-data-mining 1 sklearn 1 adaptive-graphics 1 image-retrieval 1 audio 1 miml 1 multi-instance 1 multi-instance-multi-label-learning 1 fer2013 1 ferplus 1 keras 1 recognition 1 bayesian-inference 1 online-learning 1 image-annotation 1 relabel 1 topic-modeling 1 clustering 1 graph-learning 1 label-propagation 1 partial-least-squares-regression 1 stratification 1 stratified-sampling 1 metabolic-reconstruction 1 non-negative-matrix-factorization 1 pathway2ec-association-matrix 1 subnetwork 1 cuda-programming 1 kmeans-clustering 1 random-forest 1 action-units 1 drml 1 facial 1 imbalanceness-mulan 1 mulan 1 mulan-framework 1 multi-label-imbalanceness 1 multilabel-imbalance 1 acquisition-functions 1 active-dataset-subsampling 1 metabolic-network 1 metabolic-pathway-prediction 1 multi-label-classfications 1 extreme-machine-learning 1 bags 1 bags-of-pathways 1 centroid 1 embeddings 1 groups 1 groups-of-pathways 1 pathway2vec 1 gcn 1 gnn 1 graph 1 graph-attention-networks 1 graph-natural-language-processing 1 graph-networks 1