Dae-young Jang

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Signal Processing — 11 citations into it; #4,900 of 7,572 by trust here, #5,570 by citations
• Experimental and Cognitive Psychology — 9 citations into it; #5,380 of 9,731 by trust here, #7,077 by citations
• Computer Vision and Pattern Recognition — 8 citations into it
• Natural Language Processing — 7 citations into it

Whom Dae-young Jang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ilya Sutskever
2. Geoffrey E. Hinton
3. Tomas Mikolov
4. Alex Krizhevsky
5. Karen Simonyan
6. Oriol Vinyals
7. Yann LeCun
8. Yoshua Bengio
9. Andrew Zisserman
10. Jinkyu Lee

Who trusts Dae-young Jang overall

1. Amir Zadeh
2. Panagiotis Tzirakis
3. Taiba Maijd Wani

Papers from Dae-young Jang's perspective

Ordered by how strongly the researchers Dae-young Jang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Speech emotion recognition using convolutional and Recurrent Neural Networks (2016) — 350 citations