Ji‐Hoon Bae

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 63 researchers and is trusted by 46 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it; #5,505 of 35,345 by trust here, #4,370 by citations
• Computer Vision and Pattern Recognition — 21 citations into it; #4,432 of 21,575 by trust here, #3,323 by citations
• Optimization & Training — 11 citations into it
• Model Architectures — 8 citations into it

Whom Ji‐Hoon Bae trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yoshua Bengio
5. Christian Szegedy
6. Sergey Ioffe
7. X. Zhang
8. Diederik P. Kingma
9. Yann LeCun
10. Xavier Glorot

Who trusts Ji‐Hoon Bae overall

1. Nikolaos Passalis
2. Zhiqiang Shen
3. Byeongho Heo
4. Seunghyun Lee
5. Chenglin Yang
6. Linfeng Zhang
7. Mingi Ji
8. Seyed Iman Mirzadeh
9. Hanting Chen
10. Jangho Kim

Papers from Ji‐Hoon Bae's perspective

Ordered by how strongly the researchers Ji‐Hoon Bae 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. ImageNet Large Scale Visual Recognition Challenge
5. Going deeper with convolutions
6. Learning Multiple Layers of Features from Tiny Images
7. Gradient-based learning applied to document recognition
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Long Short-Term Memory
10. ImageNet: A large-scale hierarchical image database

Their papers

• A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning (2017) — 1,725 citations