Papers: Difference between revisions

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|'''[[An Image is Worth 16x16 Words]]''' || [[arxiv:2010.11929]] || Transformers for Image Recognition at Scale - [[Vision Transformer]] ([[ViT]])
|'''[[An Image is Worth 16x16 Words]]''' || [[arxiv:2010.11929]] || Transformers for Image Recognition at Scale - [[Vision Transformer]] ([[ViT]])
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|'''[[Block-Recurrent Transformers]]''' || https://arxiv.org/abs/2203.07852 ||  
|'''[[Block-Recurrent Transformers]]''' || [[arxiv:2203.07852]] ||  
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|'''[[Language Models are Few-Shot Learners]]''' || https://arxiv.org/abs/2005.14165 || [[GPT]]
|'''[[Language Models are Few-Shot Learners]]''' || [[arxiv:2005.14165]] || [[GPT]]
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|'''[[Memorizing Transformers]]''' || https://arxiv.org/abs/2203.08913 ||  
|'''[[Memorizing Transformers]]''' || [[arxiv:2203.08913]] ||  
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|'''[[MobileViT]]''' || https://arxiv.org/abs/2110.02178 || Light-weight, General-purpose, and Mobile-friendly Vision Transformer
|'''[[MobileViT]]''' || [[arxiv:2110.02178]] || Light-weight, General-purpose, and Mobile-friendly Vision Transformer
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|'''[[OpenAI CLIP]]''' || https://arxiv.org/abs/2103.00020, https://openai.com/blog/clip/ || Learning Transferable Visual Models From Natural Language Supervision
|'''[[OpenAI CLIP]]''' || [[arxiv:2103.00020]] [[https://openai.com/blog/clip/]] || Learning Transferable Visual Models From Natural Language Supervision
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|'''[[STaR]]''' || https://arxiv.org/abs/2203.14465 || Bootstrapping Reasoning With Reasoning
|'''[[STaR]]''' || [[arxiv:2203.14465]] || Bootstrapping Reasoning With Reasoning
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|'''[[Transformer-XL]]''' || https://arxiv.org/abs/1901.02860 || Attentive Language Models Beyond a Fixed-Length Context
|'''[[Transformer-XL]]''' || [[arxiv:1901.02860]] || Attentive Language Models Beyond a Fixed-Length Context
|}
|}


===Others===
===Others===
https://arxiv.org/abs/2301.13779 ([[FLAME: A small language model for spreadsheet formulas]]) - Small model specifically for spreadsheets by [[Miscrofot]]
https://arxiv.org/abs/2301.13779 ([[FLAME: A small language model for spreadsheet formulas]]) - Small model specifically for spreadsheets by [[Miscrofot]]

Revision as of 21:50, 5 February 2023

Important

Name Date Source Note
Attention Is All You Need arxiv:1706.03762 influential paper that introduced Transformer
An Image is Worth 16x16 Words arxiv:2010.11929 Transformers for Image Recognition at Scale - Vision Transformer (ViT)
Block-Recurrent Transformers arxiv:2203.07852
Language Models are Few-Shot Learners arxiv:2005.14165 GPT
Memorizing Transformers arxiv:2203.08913
MobileViT arxiv:2110.02178 Light-weight, General-purpose, and Mobile-friendly Vision Transformer
OpenAI CLIP arxiv:2103.00020 [[1]] Learning Transferable Visual Models From Natural Language Supervision
STaR arxiv:2203.14465 Bootstrapping Reasoning With Reasoning
Transformer-XL arxiv:1901.02860 Attentive Language Models Beyond a Fixed-Length Context

Others

https://arxiv.org/abs/2301.13779 (FLAME: A small language model for spreadsheet formulas) - Small model specifically for spreadsheets by Miscrofot