Bruno Martins

Artificial Intelligence · 2012–2015

A researcher in the Science corpus: 3 papers; trusts 33 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #17,530 of 35,345 by trust here, #25,809 by citations
• Natural Language Processing — 18 citations into it; #3,070 of 5,688 by trust here, #4,879 by citations
• Signal Processing — 8 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Transportation — 7 citations into it
• Representation & Self-Supervised Learning — 5 citations into it; #1,841 of 3,145 by trust here, #2,805 by citations

Whom Bruno Martins trusts overall

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

1. Tomas Mikolov
2. Lawrence R. Rabiner
3. Jeffrey Pennington
4. Gerard A. Salton
5. Ronan Collobert
6. Ilya Sutskever
7. Greg Durrett
8. Jie Zhou
9. Eugene Agichtein
10. Geoffrey E. Hinton

Who trusts Bruno Martins overall

1. Diego Marcheggiani
2. Timo Schick
3. Marco Antonio Valenzuela-Escarcega
4. Wenxuan Zhou
5. Eran Bringer
6. Tianyu Gao

Papers from Bruno Martins's perspective

Ordered by how strongly the researchers Bruno Martins 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. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. GloVe: Global Vectors for Word Representation
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Semi-Supervised Bootstrapping of Relationship Extractors with Distributional Semantics (2015) — 60 citations
• Spatial role labeling with convolutional neural networks (2015) — 14 citations
• Predicting future locations with hidden Markov models (2012) — 400 citations