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Multi-Label Text Classification

20개 벤치마크 · 논문 181편 · 이 태스크의 논문 보기 →

Benchmarks

Reuters-21578

결과 21개

CC3M-TagMask

결과 18개

AAPD

결과 15개

Freecode

결과 15개

BVICTOR

결과 9개

EUR-Lex

결과 9개

MIMIC-III

결과 9개

MVICTOR (theme)

결과 9개

SVICTOR (theme)

결과 9개

MIMIC-III-50

결과 6개

Amazon-12K

결과 3개

Dataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of China

결과 3개

Kan-Shan Cup

결과 3개

LF-AmazonTitles-131K

결과 3개

LF-AmzonTitles-131K

결과 3개

RCV1

결과 3개

RCV1-v2

결과 3개

Slashdot

결과 3개

USPTO-3M

결과 3개

Wiki-30K

결과 3개

Most implemented

Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications

2019-06-06 · 구현 5개

ML-Net: multi-label classification of biomedical texts with deep neural networks

2018-11-13 · 구현 4개

Investigating Capsule Networks with Dynamic Routing for Text Classification

2018-03-29 · 구현 4개

Correlation Networks for Extreme Multi-label Text Classification

2022-08-23 · 구현 3개

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

2018-11-01 · 구현 3개

DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis Prediction

2023-10-10 · 구현 2개

Papers

Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift

2026-07-07 · Robin Holzinger, Riccardo Colletti arxiv

Real-world data distributions evolve over time, inducing temporal distribution shift that can substantially degrade the reliability of deployed machine learning systems. However, the extent to which architectural choices…

Multi-Label Text ClassificationImage Classification

MADE: A Living Benchmark for Multi-Label Text Classification with Uncertainty Quantification of Medical Device Adverse Events

2026-04-16 · Raunak Agarwal, Markus Wenzel, Simon Baur, Jonas Zimmer 외 arxiv

Machine learning in high-stakes domains such as healthcare requires not only strong predictive performance but also reliable uncertainty quantification (UQ) to support human oversight. Multi-label text classification (ML…

Multi-Label Text Classification

AstroConcepts: A Large-Scale Multi-Label Classification Corpus for Astrophysics

2026-04-02 · Atilla Kaan Alkan, Felix Grezes, Sergi Blanco-Cuaresma, Jennifer Lynn Bartlett 외 arxiv

Scientific multi-label text classification suffers from extreme class imbalance, where specialized terminology exhibits severe power-law distributions that challenge standard classification approaches. Existing scientifi…

Multi-Label Text ClassificationMulti-Label ClassificationDomain Adaptation

An Extreme Multi-label Text Classification (XMTC) Library Dataset: What if we took "Use of Practical AI in Digital Libraries" seriously?

2026-03-11 · Jennifer D'Souza, Sameer Sadruddin, Maximilian Kähler, Andrea Salfinger 외 arxiv

Subject indexing is vital for discovery but hard to sustain at scale and across languages. We release a large bilingual (English/German) corpus of catalog records annotated with the Integrated Authority File (GND), plus …

Multi-Label Text ClassificationMulti-Label Classification

Divide, Cache, Conquer: Dichotomic Prompting for Efficient Multi-Label LLM-Based Classification

2025-11-05 · Mikołaj Langner, Jan Eliasz, Ewa Rudnicka, Jan Kocoń arxiv

We introduce a method for efficient multi-label text classification with large language models (LLMs), built on reformulating classification tasks as sequences of dichotomic (yes/no) decisions. Instead of generating all …

Multi-Label Text ClassificationMulti-Label Classification

ProtoSiTex: Learning Semi-Interpretable Prototypes for Multi-label Text Classification

2025-10-14 · Utsav Kumar Nareti, Suraj Kumar, Soumya Pandey, Soumi Chattopadhyay 외 arxiv

The rapid growth of user-generated text across digital platforms has intensified the need for interpretable models capable of fine-grained text classification and explanation. Existing prototype-based models offer intuit…

Multi-Label Text Classification

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