🔗 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»

1. MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited DevicesAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiqing Sun, Hongkun Yu, Xiaodan Song, et al.2020 · 1,016 citations
2. CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model SocietyConference on Neural Information Processing Systems (NeurIPS)Guohao Li, Hasan Abed Al Kader Hammoud, Hani Itani, et al.2023 · 706 citations
3. Improved Knowledge Distillation via Teacher AssistantarXiv:1902.03393Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, et al.2019 · 248 citations
4. Improving Stance Detection with Multi-Dataset Learning and Knowledge DistillationConference on Empirical Methods in Natural Language Processing (EMNLP)Yingjie Li, Chenye Zhao, Cornelia Caragea2021 · 39 citations
5. Pre-training Distillation for Large Language Models: A Design Space ExplorationAnnual Meeting of the Association for Computational Linguistics (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 DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Qingyan Wang, Lianwei Wu, Botao Wang, et al.2026

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

This page in Markdown → https://md.research.elamur.ai/free/en/papers/zagoruyko-2016-paying-more-attention-attention-improving/cited-by/