Geyong Min

Artificial Intelligence · with Georgalas · 2020

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it

Whom Geyong Min trusts overall

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

1. John Schulman
2. Diederik P. Kingma
3. Jimmy Ba
4. Geoffrey E. Hinton
5. Joaquin Vanschoren
6. Oriol Vinyals
7. Yoshua Bengio
8. Dzmitry Bahdanau
9. Chelsea Finn
10. Sergey Levine

Papers from Geyong Min's perspective

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

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

Their papers

• Fast Adaptive Task Offloading in Edge Computing Based on Meta Reinforcement Learning (2020) — 345 citations