---
title: "Reza Yazdani Aminabadi — papers of 2022 — Elamur Research"
description: "Reza Yazdani Aminabadi — papers of 2022: 2 papers on Elamur Research, the most cited first — what each work is about in our own words."
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---
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[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Reza Yazdani Aminabadi](https://md.research.elamur.ai/free/en/authors/reza-yazdani-aminabadi/) / 2022

# Reza Yazdani Aminabadi — papers of 2022 — Elamur Research

2 papers · [all years of Reza Yazdani Aminabadi](https://md.research.elamur.ai/free/en/authors/reza-yazdani-aminabadi/#years)

**[ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers](https://md.research.elamur.ai/free/en/papers/yao-2022-zeroquant-efficient-affordable-post-training/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Zhewei Yao, Reza Yazdani Aminabadi, Minjia Zhang, et al.*2022 · 304 citations*

- [DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale arXiv:2201.05596](https://md.research.elamur.ai/free/en/papers/rajbhandari-2022-deepspeed-moe-advancing-mixture-experts/) — Samyam Rajbhandari, Conglong Li, Zhewei Yao, et al. · 2022 · 261 citations