Papers: Difference between revisions

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|[[Language Models are Few-Shot Learners]] || 2020/05/28 || [[arxiv:2005.14165]] || [[GPT]]
|[[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]])
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|'''[[OpenAI CLIP]]''' || 2021/02/26 || [[arxiv:2103.00020]]<br>[https://openai.com/blog/clip/ OpenAI Blog] || Learning Transferable Visual Models From Natural Language Supervision
|[[OpenAI CLIP]] || 2021/02/26 || [[arxiv:2103.00020]]<br>[https://openai.com/blog/clip/ OpenAI Blog] || Learning Transferable Visual Models From Natural Language Supervision
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|'''[[MobileViT]]''' || 2021/10/05 || [[arxiv:2110.02178]] || Light-weight, General-purpose, and Mobile-friendly Vision Transformer
|[[MobileViT]] || 2021/10/05 || [[arxiv:2110.02178]] || Light-weight, General-purpose, and Mobile-friendly Vision Transformer
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|'''[[Block-Recurrent Transformers]]''' || 2022/03/11 || [[arxiv:2203.07852]] ||  
|[[Block-Recurrent Transformers]] || 2022/03/11 || [[arxiv:2203.07852]] ||  
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|'''[[Memorizing Transformers]]''' || 2022/03/16 ||[[arxiv:2203.08913]] ||  
|[[Memorizing Transformers]] || 2022/03/16 ||[[arxiv:2203.08913]] ||  
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|'''[[STaR]]''' || 2022/03/28 || [[arxiv:2203.14465]] || Bootstrapping Reasoning With Reasoning
|[[STaR]] || 2022/03/28 || [[arxiv:2203.14465]] || Bootstrapping Reasoning With Reasoning
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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