Papers: Difference between revisions

Revision as of 09:16, 6 February 2023

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Important Papers

Name	Submission Date	Source	Type	Note
ImageNet Classification with Deep Convolutional Neural Networks (AlexNet)	2012	AlexNet Paper		AlexNet
Efficient Estimation of Word Representations in Vector Space (Word2Vec)	2013/01/16	arxiv:1301.3781	NLP	Word2Vec
Playing Atari with Deep Reinforcement Learning (DQN)	2013/12/19	arxiv:1312.5602		DQN
Generative Adversarial Networks (GAN)	2014/06/10	arxiv:1406.2661		GAN
Very Deep Convolutional Networks for Large-Scale Image Recognition (VGGNet)	2014/09/04	arxiv:409.1556		VGGNet
Sequence to Sequence Learning with Neural Networks (Seq2Seq)	2014/09/10	arxiv:1409.3215		Seq2Seq
Adam: A Method for Stochastic Optimization)	2014/12/22	arxiv:1412.6980		Adam
Deep Residual Learning for Image Recognition (ResNet)	2015/12/10	arxiv:409.1556		ResNet
Going Deeper with Convolutions (GoogleNet)	2015/12/10	arxiv:409.1556		GoogleNet
Asynchronous Methods for Deep Reinforcement Learning (A3C)	2016/02/04	arxiv:1602.01783		A3C
WaveNet: A Generative Model for Raw Audio	2016/09/12	arxiv:1609.03499	Audio	WaveNet
Attention Is All You Need (Transformer)	2017/06/12	arxiv:1706.03762		Influential paper that introduced Transformer
Proximal Policy Optimization Algorithms (PPO)	2017/07/20	arxiv:1707.06347		PPO
Improving Language Understanding by Generative Pre-Training (GPT)	2018	paper source	NLP	GPT
Deep contextualized word representations (ELMo)	2018/02/15	arxiv:1802.05365	NLP	ELMo
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding	2018/04/20	arxiv:1804.07461	NLP	GLUE
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018/10/11	arxiv:1810.04805	NLP	BERT
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context	2019/01/09	arxiv:1901.02860		Transformer-XL
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model (MuZero)	2019/11/19	arxiv:1911.08265		MuZero
Language Models are Few-Shot Learners (GPT-3)	2020/05/28	arxiv:2005.14165	NLP	GPT-3
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (ViT)	2020/10/22	arxiv:2010.11929		Vision Transformer (ViT)
Learning Transferable Visual Models From Natural Language Supervision (CLIP)	2021/02/26	arxiv:2103.00020 OpenAI Blog
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer	2021/10/05	arxiv:2110.02178		MobileViT
Block-Recurrent Transformers	2022/03/11	arxiv:2203.07852
Memorizing Transformers	2022/03/16	arxiv:2203.08913
STaR: Bootstrapping Reasoning With Reasoning	2022/03/28	arxiv:2203.14465		STaR

Other Papers

Name	Submission Date	Source	Note
Dreamix: Video Diffusion Models are General Video Editors	2023/02/03	arxiv:2302.01329 blog post	Dreamix
FLAME: A small language model for spreadsheet formulas	2023/01/31	arxiv:2301.13779	FLAME
Muse: Text-To-Image Generation via Masked Generative Transformers	2023/01/02	arxiv:2301.00704 blog post	Muse

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+|[[Dreamix: Video Diffusion Models are General Video Editors]] || 2023/02/03 ||[[arxiv:2302.01329]]<br>[https://dreamix-video-editing.github.io/ blog post] ||  || [[Dreamix]]
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 |[[FLAME: A small language model for spreadsheet formulas]] || 2023/01/31 ||[[arxiv:2301.13779]] ||  || [[FLAME]]
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-|[[Dreamix: Video Diffusion Models are General Video Editors]] || 2023/01/31 ||[[arxiv:2302.01329]]<br>[https://dreamix-video-editing.github.io/ blog post] ||  || [[Dreamix]]
+|[[Muse: Text-To-Image Generation via Masked Generative Transformers]] || 2023/01/02 ||[[arxiv:2301.00704]]<br>[https://muse-model.github.io/ blog post] ||  || [[Muse]]
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