---
title: "ICLR 2022 — accepted papers — Elamur Research"
description: "ICLR 2022 — accepted papers: 1 paper in the Elamur Research library, with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/2022/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/2022/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [ICLR](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/) / 2022

# ICLR 2022 — accepted papers

ICLR 2022 is the 2022 edition of the International Conference on Learning Representations (ICLR). Our library holds 1 paper of its papers, listed below with the most cited first; each has a page with our summary, its key points and its references.

[**1** work in our library](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/2022/#works) · [**103** citations of these works](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/2022/#works)

## Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. **[LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models](https://md.research.elamur.ai/free/en/papers/park-2022-lut-gemm-quantized-matrix-multiplication/) [International Conference on Learning Representations (ICLR)](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/)**Gunho Park, Baeseong Park, Minsub Kim, et al.*2022 · 103 citations*

## Top topics

Topics of its works in our library, with the number of works on each.

[Language models & pretraining (1)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Efficient models & compression (1)](https://md.research.elamur.ai/free/en/topics/efficient-models/)

## Fields

[Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Sungjae Lee**1 work here · 103 citations](https://md.research.elamur.ai/free/en/authors/sungjae-lee/)

works and citations from OpenAlex and our library.

- [← previous ICLR 2020](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/2020/)
- [next → ICLR 2023](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/2023/)
- [↑ back to ICLR](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/)
