Francisco Pereira
Cognitive Neuroscience · with Botvinick · 2004–2018
A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 33 citations into it; #1,525 of 10,852 by trust here, #2,905 by citations
- Social Psychology — 6 citations into it
- Statistics and Probability — 6 citations into it
Whom Francisco Pereira trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tom Michael Mitchell
- John-Dylan Haynes
- Polina Golland
- James V. Haxby
- Christopher R. Genovese
- Kendrick Norris Kay
- Kenneth A. Norman
- Geraint E. Rees
- Jeff Mitchell
- W. D. Penny
Who trusts Francisco Pereira overall
- Gaël Varoquaux
- John-Dylan Haynes
- Michael L. Anderson
- Peter Mondrup Rasmussen
- Jörn Diedrichsen
- Zaixu Cui
- Nikolaus Kriegeskorte
- Masaya Misaki
- Benson Mwangi
- Tijl Grootswagers
Papers from Francisco Pereira's perspective
Ordered by how strongly the researchers Francisco Pereira trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Learning to Decode Cognitive States from Brain Images (2004) — 763 citations
- Toward a universal decoder of linguistic meaning from brain activation (2018) — 379 citations
- Machine learning classifiers and fMRI: a tutorial overview (2008) — 1,743 citations