Papers

From AI Wiki
Revision as of 17:56, 5 February 2023 by Alpha5 (talk | contribs)

Important

Attention Is All You Need - https://arxiv.org/abs/1706.03762 - - influential paper that introduced Transformer

An Image is Worth 16x16 Words - https://arxiv.org/abs/2010.11929 - Transformers for Image Recognition at Scale - Vision Transformer (ViT)

Block-Recurrent Transformers - https://arxiv.org/abs/2203.07852

Language Models are Few-Shot Learners - https://arxiv.org/abs/2005.14165 - GPT

Memorizing Transformers - https://arxiv.org/abs/2203.08913 -

MobileViT - https://arxiv.org/abs/2110.02178 - Light-weight, General-purpose, and Mobile-friendly Vision Transformer

OpenAI CLIP - https://arxiv.org/abs/2103.00020, https://openai.com/blog/clip/ - Learning Transferable Visual Models From Natural Language Supervision

STaR - https://arxiv.org/abs/2203.14465 - Bootstrapping Reasoning With Reasoning

Transformer-XL - https://arxiv.org/abs/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

Retrieved from "http:///index.php?title=Papers&oldid=1110"