Mariana Prazeres

Optimization & Training · 2019

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 20 citations into it; #1,875 of 2,601 by trust here, #2,428 by citations
• Artificial Intelligence — 14 citations into it; #22,541 of 35,345 by trust here, #31,361 by citations
• Computational Mechanics — 7 citations into it; #6,191 of 10,001 by trust here, #8,566 by citations
• Management Science and Operations Research — 5 citations into it

Whom Mariana Prazeres trusts overall

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

1. L. Eon Bottou
2. Matthew D. Zeiler
3. Diederik P. Kingma
4. Tamer Basar
5. John C. Duchi
6. Geoffrey E. Hinton
7. Xiaoyun Li
8. Jimmy Ba
9. Moritz Hardt
10. Alex Krizhevsky

Who trusts Mariana Prazeres overall

1. Nicolas Loizou

Papers from Mariana Prazeres's perspective

Ordered by how strongly the researchers Mariana Prazeres trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Stochastic Gradient Descent with Polyak’s Learning Rate (2019) — 42 citations