---
title: "Who cites Paying More Attention to — 104 citing papers"
description: "104 papers of the Elamur Research library cite «Paying More Attention to Attention: Improving the Performance of Convolutional Neural…"
canonical: "https://research.elamur.ai/free/en/papers/zagoruyko-2016-paying-more-attention-attention-improving/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Paying More Attention to Attention: Improving the…](https://md.research.elamur.ai/free/en/papers/zagoruyko-2016-paying-more-attention-attention-improving/) / cited by

# Who cites «Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer»

104 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · [← back to «Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer»](https://md.research.elamur.ai/free/en/papers/zagoruyko-2016-paying-more-attention-attention-improving/)

1. **[MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices](https://md.research.elamur.ai/free/en/papers/sun-2020-mobilebert-compact-task-agnostic-bert/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhiqing Sun, Hongkun Yu, Xiaodan Song, et al.*2020 · 1,016 citations*
2. **[CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society](https://md.research.elamur.ai/free/en/papers/li-2023-camel-communicative-agents-mind/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Guohao Li, Hasan Abed Al Kader Hammoud, Hani Itani, et al.*2023 · 706 citations*
3. [**Improved Knowledge Distillation via Teacher Assistant arXiv:1902.03393**Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, et al.*2019 · 248 citations*](https://md.research.elamur.ai/free/en/papers/mirzadeh-2019-improved-knowledge-distillation-teacher-assistant/)
4. **[Improving Stance Detection with Multi-Dataset Learning and Knowledge Distillation](https://md.research.elamur.ai/free/en/papers/li-2021-improving-stance-detection-multi-dataset/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yingjie Li, Chenye Zhao, Cornelia Caragea*2021 · 39 citations*
5. **[Pre-training Distillation for Large Language Models: A Design Space Exploration](https://md.research.elamur.ai/free/en/papers/peng-2025-pre-training-distillation-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Peng, Xin Lv, Yushi Bai, et al.*2025 · 14 citations*
6. **[From Form to Logic: Masked Reconstruction and Reasoning Distillation for Short Video Fake News Detection](https://md.research.elamur.ai/free/en/papers/wang-2026-form-logic-masked-reconstruction-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qingyan Wang, Lianwei Wu, Botao Wang, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/zagoruyko-2016-paying-more-attention-attention-improving/) — Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer
