Papers: Difference between revisions
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| | |[[Attention Is All You Need]] || 2017/06/12 || [[arxiv:1706.03762]] || influential paper that introduced [[Transformer]] | ||
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| | |[[Transformer-XL]] || 2019/01/09 || [[arxiv:1901.02860]] || Attentive Language Models Beyond a Fixed-Length Context | ||
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| | |[[Language Models are Few-Shot Learners]] || 2020/05/28 || [[arxiv:2005.14165]] || [[GPT]] | ||
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|'''[[An Image is Worth 16x16 Words]]''' || 2020/10/22 || [[arxiv:2010.11929]] || Transformers for Image Recognition at Scale - [[Vision Transformer]] ([[ViT]]) | |'''[[An Image is Worth 16x16 Words]]''' || 2020/10/22 || [[arxiv:2010.11929]] || Transformers for Image Recognition at Scale - [[Vision Transformer]] ([[ViT]]) | ||
Revision as of 21:58, 5 February 2023
Important
| Name | Submission Date |
Source | Note |
|---|---|---|---|
| Attention Is All You Need | 2017/06/12 | arxiv:1706.03762 | influential paper that introduced Transformer |
| Transformer-XL | 2019/01/09 | arxiv:1901.02860 | Attentive Language Models Beyond a Fixed-Length Context |
| Language Models are Few-Shot Learners | 2020/05/28 | arxiv:2005.14165 | GPT |
| An Image is Worth 16x16 Words | 2020/10/22 | arxiv:2010.11929 | Transformers for Image Recognition at Scale - Vision Transformer (ViT) |
| OpenAI CLIP | 2021/02/26 | arxiv:2103.00020 OpenAI Blog |
Learning Transferable Visual Models From Natural Language Supervision |
| MobileViT | 2021/10/05 | arxiv:2110.02178 | Light-weight, General-purpose, and Mobile-friendly Vision Transformer |
| Block-Recurrent Transformers | 2022/03/11 | arxiv:2203.07852 | |
| Memorizing Transformers | 2022/03/16 | arxiv:2203.08913 | |
| STaR | 2022/03/28 | arxiv:2203.14465 | Bootstrapping Reasoning With Reasoning |
Others
https://arxiv.org/abs/2301.13779 (FLAME: A small language model for spreadsheet formulas) - Small model specifically for spreadsheets by Miscrofot