Deep Learning技術：押さえておくべき6つの動向(2020/08)

2020年8月現在のDeep Learningの動向から、注目しておくべきマクロな動向を6つご紹介します。
1. 継続する急速な性能向上
2. ネットワーク設計の自動化とAutoML
3. タスクの高度化と応用範囲の拡大
4. モデルのEnd-to-end化
5. モデルの大規模・高性能化
6. モデルの汎用化
DARTS: Differentiable Architecture Search
Hanxiao Liu, Karen Simonyan, Yiming Yang
arxiv.org/abs/...
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Han Cai, Ligeng Zhu, Song Han
arxiv.org/abs/...
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros
arxiv.org/abs/...
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Andrew Tao, Jan Kautz, Bryan Catanzaro
arxiv.org/abs/...
Semantic Image Synthesis with Spatially-Adaptive Normalization
Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu
arxiv.org/abs/...
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros
arxiv.org/abs/...
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford, Luke Metz, Soumith Chintala
arxiv.org/abs/...
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras, Timo Aila, Samuli Laine, Jaakko Lehtinen
arxiv.org/abs/...
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock, Jeff Donahue, Karen Simonyan
arxiv.org/abs/...
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, Dimitris Metaxas
arxiv.org/abs/...
Exploring the Limits of Weakly Supervised Pretraining
Dhruv Mahajan, Ross Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten
arxiv.org/abs/...
Language Models are Few-Shot Learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, Dario Amodei
arxiv.org/abs/...
Deep Learning入門：Transfer Learning（転移学習）
• Deep Learning入門：Transf...
再生リスト「Deep Learning入門」
• Deep Learning入門
再生リスト「Neural Network Console チュートリアル（クラウド版）」
• Neural Network Console...
再生リスト「Neural Network Console チュートリアル（Windows版）」
• Neural Network Console...
再生リスト「実践Deep Learning」
• 実践Deep Learning
再生リスト「Deep Learning 精度向上テクニック」
• Deep Learning精度向上テクニック
Neural Network Console
dl.sony.com/ja/
Neural Network Libraries
nnabla.org/ja/
Prediction One
predictionone....