Tin Lay Nwe

Computer Vision and Pattern Recognition · 2003–2019

A researcher in the Science corpus: 2 papers; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it
• Artificial Intelligence — 20 citations into it
• Representation & Self-Supervised Learning — 16 citations into it

Whom Tin Lay Nwe trusts overall

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

1. Alex Krizhevsky
2. Klaus R. Scherer
3. Geoffrey E. Hinton
4. Kaiming He
5. Gregory R. Koch
6. Yann LeCun
7. Arslan Chaudhry
8. Kai-Fu Lee
9. Yoshua Bengio

Papers from Tin Lay Nwe's perspective

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

Their papers

• Meta Module Generation for Fast Few-Shot Incremental Learning (2019) — 7 citations
• Speech emotion recognition using hidden Markov models (2003) — 389 citations