Papers

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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
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
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

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