Thiago Pereira Bueno

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Reinforcement Learning — 5 citations into it

Whom Thiago Pereira Bueno trusts overall

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

1. Ilya Sutskever
2. Martin L. Puterman
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Jimmy Ba
6. John Schulman
7. Oriol Vinyals
8. Yoshua Bengio
9. Andrew Y. Ng
10. Diederik P. Kingma

Papers from Thiago Pereira Bueno's perspective

Ordered by how strongly the researchers Thiago Pereira Bueno 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Deep Reactive Policies for Planning in Stochastic Nonlinear Domains (2019) — 31 citations