Songwong Tasneeyapant

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Optimization & Training — 9 citations into it
• Model Architectures — 5 citations into it

Whom Songwong Tasneeyapant trusts overall

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

1. Kaiming He
2. X. Zhang
3. Shaoqing Ren
4. Yuh-Jye Lee
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Yoshua Bengio
8. Yann LeCun
9. Shibani Santurkar
10. Ross B. Girshick

Papers from Songwong Tasneeyapant's perspective

Ordered by how strongly the researchers Songwong Tasneeyapant 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Generating Accurate Pseudo-Labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations (2019) — 30 citations