| Name
|
Submission
Date
|
Source
|
Type
|
Organization
|
Note
|
| ImageNet Classification with Deep Convolutional Neural Networks (AlexNet) |
2012 |
AlexNet Paper |
Computer Vision |
|
AlexNet
|
| Efficient Estimation of Word Representations in Vector Space (Word2Vec) |
2013/01/16 |
arxiv:1301.3781 |
Natural Language Processing |
|
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:1409.1556 |
Computer Vision |
|
VGGNet
|
| Sequence to Sequence Learning with Neural Networks (Seq2Seq) |
2014/09/10 |
arxiv:1409.3215 |
Natural Language Processing |
|
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:1512.03385 |
Computer Vision |
|
ResNet
|
| Going Deeper with Convolutions (GoogleNet) |
2015/12/10 |
arxiv:1409.4842 |
Computer Vision |
Google |
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 |
Natural Language Processing |
Google |
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 |
Natural Language Processing |
OpenAI |
GPT
|
| Deep contextualized word representations (ELMo) |
2018/02/15 |
arxiv:1802.05365 |
Natural Language Processing |
|
ELMo
|
| GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding |
2018/04/20 |
arxiv:1804.07461
website |
Natural Language Processing |
|
GLUE
|
| BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding |
2018/10/11 |
arxiv:1810.04805 |
Natural Language Processing |
Google |
BERT
|
| Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context |
2019/01/09 |
arxiv:1901.02860
github |
|
|
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 |
Natural Language Processing |
OpenAI |
GPT-3
|
| An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (ViT) |
2020/10/22 |
arxiv:2010.11929
GitHub |
Computer Vision |
Google |
Vision Transformer (ViT)
|
| Learning Transferable Visual Models From Natural Language Supervision (CLIP) |
2021/02/26 |
arxiv:2103.00020
Blog Post |
Computer Vision |
OpenAI |
CLIP (Contrastive Language-Image Pre-Training)
|
| MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer |
2021/10/05 |
arxiv:2110.02178
GitHub |
Computer Vision |
Apple |
MobileViT
|
| LaMDA: Language Models for Dialog Applications |
2022/01/20 |
arxiv:2201.08239 |
Natural Language Processing |
Google |
LaMDA
|
| 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
|
