Amauri H. Souza Jr.

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it; #16,203 of 35,345 by trust here, #7,413 by citations
• Graph Learning — 24 citations into it; #347 of 693 by trust here, #188 by citations
• Representation & Self-Supervised Learning — 11 citations into it
• Natural Language Processing — 6 citations into it

Whom Amauri H. Souza Jr. trusts overall

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

1. Diederik P. Kingma
2. L. Eon Bottou
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Yann LeCun
6. Sepp Hochreiter
7. Alex Krizhevsky
8. George A. Miller
9. Jimmy Ba
10. Ilya Sutskever

Who trusts Amauri H. Souza Jr. overall

1. Matthias Fey
2. William L. Hamilton
3. Junliang Yu
4. Chen Cai
5. Weihua Hu
6. Xin Xia
7. Yanqiao Zhu
8. Lingxiao Zhao
9. Xiangnan He

Papers from Amauri H. Souza Jr.'s perspective

Ordered by how strongly the researchers Amauri H. Souza Jr. 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. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Simplifying Graph Convolutional Networks (2019) — 3,924 citations