Inyoung Paik

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 48 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Computer Vision and Pattern Recognition — 28 citations into it
• Representation & Self-Supervised Learning — 9 citations into it

Whom Inyoung Paik trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yann LeCun
4. Kaiming He
5. Jian-Hao Luo
6. Rahaf Aljundi
7. Yoshua Bengio
8. Ilya Sutskever
9. Pavlo Molchanov
10. Diederik P. Kingma

Who trusts Inyoung Paik overall

1. Shipeng Wang
2. Xiaorong Li

Papers from Inyoung Paik's perspective

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

Their papers

• Overcoming Catastrophic Forgetting by Neuron-level Plasticity Control (2019) — 65 citations