Sejun Park

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Efficiency & Compression — 26 citations into it
• Computer Vision and Pattern Recognition — 25 citations into it
• Model Architectures — 7 citations into it

Whom Sejun Park trusts overall

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

1. Alex Krizhevsky
2. Yann LeCun
3. Geoffrey E. Hinton
4. Karen Simonyan
5. Diederik P. Kingma
6. Kaiming He
7. Yoshua Bengio
8. Jonathan Frankle
9. Christos Louizos
10. Max Welling

Papers from Sejun Park's perspective

Ordered by how strongly the researchers Sejun Park trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Layer-adaptive Sparsity for the Magnitude-based Pruning (2020) — 354 citations