Papers: Difference between revisions

Revision as of 22:04, 5 February 2023

Name	Submission Date	Source	Note
AlexNet paper	2012	AlexNet Paper	ImageNet Classification with Deep Convolutional Neural Networks
VGGNet paper	2014/09/04	arxiv:409.1556	IVery Deep Convolutional Networks for Large-Scale Image Recognition
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

@@ Line 9: / Line 9: @@
 |[[AlexNet paper]] || 2012 || [https://proceedings.neurips.cc/paper/2012/file/c399862d3b9d6b76c8436e924a68c45b-Paper.pdf AlexNet Paper] || ImageNet Classification with Deep Convolutional Neural Networks
 |-
-|[[VGGNet paper]] || 2014/09/04 || [[1arxiv:409.1556]] || IVery Deep Convolutional Networks for Large-Scale Image Recognition
+|[[VGGNet paper]] || 2014/09/04 || [[arxiv:409.1556]] || IVery Deep Convolutional Networks for Large-Scale Image Recognition
 |-
 |[[Attention Is All You Need]] || 2017/06/12 || [[arxiv:1706.03762]] || influential paper that introduced [[Transformer]]