---
title: "Who cites Few-Shot and Zero-Shot Multi-Label Learning for…"
description: "64 papers of the Elamur Research library cite «Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces», found in their bibliographies…"
canonical: "https://research.elamur.ai/free/en/papers/rios-2018-few-shot-zero-shot-multi/cited-by/"
---
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# Who cites «Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces»

64 papers of our library cite it (of the 140,884 whose bibliographies we read) · 3 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/rios-2018-few-shot-zero-shot-multi/)

1. [**Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach**Wenpeng Yin, Jamaal Hay, Dan Roth*2019 · 731 citations*](https://md.research.elamur.ai/free/en/papers/yin-2019-benchmarking-zero-shot-text-classification/)
2. [**Text Classification Using Label Names Only: A Language Model Self-Training Approach**Yu Meng, Yunyi Zhang, Jiaxin Huang, et al.*2020 · 274 citations*](https://md.research.elamur.ai/free/en/papers/meng-2020-text-classification-label-names-only/)
3. [**An Empirical Survey of Data Augmentation for Limited Data Learning in NLP**Jiaao Chen, Derek Tam, Colin Raffel, et al.*2023 · 253 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-empirical-survey-data-augmentation-limited/)

61 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/rios-2018-few-shot-zero-shot-multi/) — Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces
