--- title: "Who cites Efficient Processing of Deep — 101 citing papers" description: "101 papers of the Elamur Research library cite «Efficient Processing of Deep Neural Networks: A Tutorial and Survey», found in their…" canonical: "https://research.elamur.ai/free/en/papers/sze-2017-efficient-processing-deep-neural-networks/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/sze-2017-efficient-processing-deep-neural-networks/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Efficient Processing of Deep Neural Networks: A…](https://md.research.elamur.ai/free/en/papers/sze-2017-efficient-processing-deep-neural-networks/) / cited by # Who cites «Efficient Processing of Deep Neural Networks: A Tutorial and Survey» 101 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «Efficient Processing of Deep Neural Networks: A Tutorial and Survey»](https://md.research.elamur.ai/free/en/papers/sze-2017-efficient-processing-deep-neural-networks/) 1. [**Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis ACM Computing Surveys 2019**Tal Ben-Nun, Torsten Hoefler*2018 · 275 citations*](https://md.research.elamur.ai/free/en/papers/nun-2018-demystifying-parallel-distributed-deep-learning/) 2. **[Generative Gamer: Learning Equilibrium Strategy by LLM-driven Dynamic Deduction](https://md.research.elamur.ai/free/en/papers/zhang-2026-generative-gamer-learning-equilibrium-strategy/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yadong Zhang, Xinshu Shen, Yupei Ren, et al.*2026* 99 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/sze-2017-efficient-processing-deep-neural-networks/) — Efficient Processing of Deep Neural Networks: A Tutorial and Survey