Yasasa Abeysirigoonawardena

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Reinforcement Learning — 18 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Management Science and Operations Research — 9 citations into it

Whom Yasasa Abeysirigoonawardena trusts overall

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

1. Geoffrey E. Hinton
2. Michael L. Littman
3. Yoshua Bengio
4. Diederik P. Kingma
5. Alex Krizhevsky
6. Ian J. Goodfellow
7. Richard S. Sutton
8. Yann LeCun
9. Jonathan Ho
10. David M. Blei

Who trusts Yasasa Abeysirigoonawardena overall

1. Li Chen
2. Peng Wu

Papers from Yasasa Abeysirigoonawardena's perspective

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

Their papers

• Generating Adversarial Driving Scenarios in High-Fidelity Simulators (2019) — 149 citations