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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]]''' || | |'''[[Block-Recurrent Transformers]]''' || [[arxiv:2203.07852]] || | ||
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|'''[[Language Models are Few-Shot Learners]]''' || | |'''[[Language Models are Few-Shot Learners]]''' || [[arxiv:2005.14165]] || [[GPT]] | ||
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|'''[[Memorizing Transformers]]''' || | |'''[[Memorizing Transformers]]''' || [[arxiv:2203.08913]] || | ||
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|'''[[MobileViT]]''' || | |'''[[MobileViT]]''' || [[arxiv:2110.02178]] || Light-weight, General-purpose, and Mobile-friendly Vision Transformer | ||
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|'''[[OpenAI CLIP]]''' || | |'''[[OpenAI CLIP]]''' || [[arxiv:2103.00020]] [[https://openai.com/blog/clip/]] || Learning Transferable Visual Models From Natural Language Supervision | ||
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|'''[[STaR]]''' || | |'''[[STaR]]''' || [[arxiv:2203.14465]] || Bootstrapping Reasoning With Reasoning | ||
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|'''[[Transformer-XL]]''' || | |'''[[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]] |