---
title: "Canberra — works of 2022: 3 papers, the most cited first"
description: "3 works of Canberra from 2022 in our library, the most cited first. Among them: InternVideo: General Video Foundation Models via Generative…"
canonical: "https://research.elamur.ai/free/en/agglomerations/canberra/year/2022/"
---
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# Works of Canberra from 2022

3 works · the most cited first · [← Canberra](https://md.research.elamur.ai/free/en/agglomerations/canberra/)

1. [**InternVideo: General Video Foundation Models via Generative and Discriminative Learning arXiv:2212.03191**Yi Wang, Kunchang Li, Yizhuo Li, et al.*2022 · 144 citations*](https://md.research.elamur.ai/free/en/papers/wang-2022-internvideo-general-video-foundation/)
2. [**UniMorph 4.0: Universal Morphology**Khuyagbaatar Batsuren, Omer Goldman, Salam Khalifa*2022 · 82 citations*](https://md.research.elamur.ai/free/en/papers/batsuren-2022-unimorph-4/)
3. **[The Devil in Linear Transformer](https://md.research.elamur.ai/free/en/papers/qin-2022-devil-linear-transformer/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhen Qin, Xiaodong Han, Weixuan Sun, et al.*2022 · 67 citations*
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