T. Kim

Electrical and Electronic Engineering · with Cho · 2019

A researcher in the Science corpus: 1 paper; trusts 35 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 9 citations into it; #9,440 of 16,539 by trust here, #11,977 by citations
• Artificial Intelligence — 8 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Building and Construction — 5 citations into it
• Model Architectures — 5 citations into it

Whom T. Kim trusts overall

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

1. Yoshua Bengio
2. Kaiming He
3. Geoffrey E. Hinton
4. Daniel L. Marino
5. Tara N. Sainath
6. Bolei Zhou
7. Oriol Vinyals
8. Elena Mocanu
9. Chunting Zhou
10. Shu Lih Oh

Who trusts T. Kim overall

1. Rahim Barzegar
2. Benjamin Lindemann
3. Mohammad Taghi Aalami
4. Timo Müller
5. Jan Adamowski
6. Adil Rasheed

Papers from T. Kim's perspective

Ordered by how strongly the researchers T. Kim 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Predicting residential energy consumption using CNN-LSTM neural networks (2019) — 1,302 citations