AI Wiki

Papers: Difference between revisions

Page Discussion

Papers (view source)

Revision as of 20:02, 6 February 2023

236 bytes added ,  6 February 2023
no edit summary
No edit summary
No edit summary
Line 19: Line 19:
|[[Generative Adversarial Networks (GAN)]] || 2014/06/10 || [[arxiv:1406.2661]] ||  ||  || [[GAN]]
|[[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]] || ||  || [[VGGNet]]
|[[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]]
|[[Sequence to Sequence Learning with Neural Networks (Seq2Seq)]] || 2014/09/10 || [[arxiv:1409.3215]] || [[Natural Language Processing]] ||  || [[Seq2Seq]]
Line 25: Line 25:
|[[Adam: A Method for Stochastic Optimization)]] || 2014/12/22 || [[arxiv:1412.6980]] ||  ||  || [[Adam]]
|[[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]] || ||  || [[ResNet]]
|[[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]]
|[[Going Deeper with Convolutions (GoogleNet)]] || 2015/12/10 || [[arxiv:1409.4842]] || [[Computer Vision]] || [[Google]] || [[GoogleNet]]
Line 45: Line 45:
|[[BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding]] || 2018/10/11 || [[arxiv:1810.04805]] || [[Natural Language Processing]] || [[Google]] || [[BERT]]
|[[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]] ||  ||  || [[Transformer-XL]]
|[[Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context]] || 2019/01/09 || [[arxiv:1901.02860]]<br>[https://github.com/kimiyoung/transformer-xl github] ||  ||  || [[Transformer-XL]]
|-
|-
|[[Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model (MuZero)]] || 2019/11/19 || [[arxiv:1911.08265]] ||  ||  || [[MuZero]]
|[[Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model (MuZero)]] || 2019/11/19 || [[arxiv:1911.08265]] ||  ||  || [[MuZero]]
Line 51: Line 51:
|[[Language Models are Few-Shot Learners (GPT-3)]] || 2020/05/28 || [[arxiv:2005.14165]] || [[Natural Language Processing]] || [[OpenAI]] || [[GPT-3]]
|[[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]] || [[Computer Vision]] || || [[Vision Transformer]] ([[ViT]])
|[[An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (ViT)]] || 2020/10/22 || [[arxiv:2010.11929]]<br>[https://github.com/google-research/vision_transformer GitHub] || [[Computer Vision]] || [[Google]] || [[Vision Transformer]] ([[ViT]])
|-
|-
|[[Learning Transferable Visual Models From Natural Language Supervision (CLIP)]] || 2021/02/26 || [[arxiv:2103.00020]]<br>[https://openai.com/blog/clip/ OpenAI Blog] || [[Computer Vision]] || || [[CLIP]]
|[[Learning Transferable Visual Models From Natural Language Supervision (CLIP)]] || 2021/02/26 || [[arxiv:2103.00020]]<br>[https://openai.com/blog/clip/ OpenAI Blog] || [[Computer Vision]] || [[OpenAI]] || [[CLIP]]
|-
|-
|[[MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer]] || 2021/10/05 || [[arxiv:2110.02178]] || [[Computer Vision]] || || [[MobileViT]]
|[[MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer]] || 2021/10/05 || [[arxiv:2110.02178]]<br>[https://github.com/apple/ml-cvnets GitHub] || [[Computer Vision]] || [[Apple]] || [[MobileViT]]
|-
|-
|[[Block-Recurrent Transformers]] || 2022/03/11 || [[arxiv:2203.07852]] ||  ||  ||  
|[[Block-Recurrent Transformers]] || 2022/03/11 || [[arxiv:2203.07852]] ||  ||  ||  
Retrieved from "http:///wiki/Special:MobileDiff/1200"