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Multi-Label Classification

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Multi-Label Classification is the supervised learning problem where an instance may be associated with multiple labels. This is an extension of single-label classification (i.e., multi-class, or binary) where each instance is only associated with a single class label.

Source: Deep Learning for Multi-label Classification

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/xl-shao/coralconditiondataset

공식 코드

Deep learning for multi-label classification of coral conditions in the Indo-Pacific via underwater photogrammetry

https://github.com/xmc-aalto/bonsai

공식 코드

Bonsai -- Diverse and Shallow Trees for Extreme Multi-label Classification

https://github.com/xmc-aalto/proxml

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Adversarial Extreme Multi-label Classification

https://github.com/xumengyaamy/p-cbls

공식 코드

Confidence-Aware Paced-Curriculum Learning by Label Smoothing for Surgical Scene Understanding

https://github.com/xuzhang0112/GKI-ICD

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A General Knowledge Injection Framework for ICD Coding

https://github.com/yan4xi1/GRLoss

공식 코드

Boosting Single Positive Multi-label Classification with Generalized Robust Loss

https://github.com/yangarbiter/multilabel-learn

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Cost-Sensitive Reference Pair Encoding for Multi-Label Learning

https://github.com/yangzhao1230/protdetr

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Interpretable Enzyme Function Prediction via Residue-Level Detection

https://github.com/yangzhou12/ncrl

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None Class Ranking Loss for Document-Level Relation Extraction

https://github.com/yankeesrules/C2AE

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Learning Deep Latent Spaces for Multi-Label Classification

https://github.com/yaoli/chest_xray_14

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Learning to diagnose from scratch by exploiting dependencies among labels

https://github.com/yaxinzhuars/icxml

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ICXML: An In-Context Learning Framework for Zero-Shot Extreme Multi-Label Classification

https://github.com/yeyimilk/llm-zero-shot-classifiers

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Adaptable and Reliable Text Classification using Large Language Models

https://github.com/yingjie7/mlingual_multilabel_emo_detection

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JNLP at SemEval-2025 Task 11: Cross-Lingual Multi-Label Emotion Detection Using Generative Models

https://github.com/yongxuUSTC/aDAE_DNN_audio_tagging

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Unsupervised Feature Learning Based on Deep Models for Environmental Audio Tagging

https://github.com/youngwk/bridgegapexplanationpamc

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Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification

https://github.com/ypapanik/cgs_p

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Dense Distributions from Sparse Samples: Improved Gibbs Sampling Parameter Estimators for LDA

https://github.com/yu-gi-oh-leilei/trm-ml

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Text-Region Matching for Multi-Label Image Recognition with Missing Labels

https://github.com/yuzhimanhua/futex

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Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers

https://github.com/yyaghoobzadeh/name_typing

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Evaluating Word Embeddings in Multi-label Classification Using Fine-grained Name Typing

https://github.com/yzqinjacob/distill-mlc

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Knowledge Distillation from Single to Multi Labels: an Empirical Study

https://github.com/zhongfendeng/ae-smnsmlc

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AE-smnsMLC: Multi-Label Classification with Semantic Matching and Negative Label Sampling for Product Attribute Value Extraction

https://github.com/zhufengx/SRN_multilabel

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Learning Spatial Regularization with Image-level Supervisions for Multi-label Image Classification

https://github.com/zzbn12345/WHOSe_Heritage

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WHOSe Heritage: Classification of UNESCO World Heritage "Outstanding Universal Value" Documents with Soft Labels

https://gitlab.com/TStepi/spyct

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Oblique Predictive Clustering Trees

https://gitlab.com/luoyan/gsoftmax

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$\mathcal{G}$-softmax: Improving Intra-class Compactness and Inter-class Separability of Features

https://gitlab.com/web3se/smartintent

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Deep Smart Contract Intent Detection

https://gitlab.developers.cam.ac.uk/maths/cia/bloodcounts/dis-ae-paper-code-release

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Dis-AE: Multi-domain & Multi-task Generalisation on Real-World Clinical Data

https://gitlab.oit.duke.edu/railabs/LoGroup/multi-label-weakly-supervised-classification-of-body-ct

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What limits performance of weakly supervised deep learning for chest CT classification?

https://huggingface.co/datasets/sohomghosh/BASIR_Budget_Assisted_Sectoral_Impact_Ranking

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BASIR: Budget-Assisted Sectoral Impact Ranking -- A Dataset for Sector Identification and Performance Prediction Using Language Models

https://huggingface.co/pyannote/segmentation

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End-to-end speaker segmentation for overlap-aware resegmentation

https://github.com/0492wzl/tensorflow_slim_densenet

Densely Connected Convolutional Networks

https://github.com/0jason000/DenseNet

Densely Connected Convolutional Networks

https://github.com/2023-MindSpore-1/ms-code-146

Densely Connected Convolutional Networks

https://github.com/2023-MindSpore-1/ms-code-16/tree/main/3D_DenseNet

Densely Connected Convolutional Networks

https://github.com/2023-MindSpore-4/Code12/tree/main/dengzhaohong/ML_TSK_FS_MindSpore-main

Multi-Label Takagi-Sugeno-Kang Fuzzy System

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