Gustavo Deco
Neuroscience · with Brauer · 1994–2001
A researcher in the Science corpus: 4 papers; trusts 13 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Neuroscience — 8 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
- Representation & Self-Supervised Learning — 5 citations into it; #1,180 of 3,145 by trust here, #2,516 by citations
Whom Gustavo Deco trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John G. Daugman
- Rajesh P. N. Rao
- F. Attneave
- Barbara Olshausen
- D. Navon
- Geoffrey E. Hinton
- Dana H. Ballard
- Laurent Itti
- Leslie G. Ungerleider
- Terrence J. Sejnowski
Who trusts Gustavo Deco overall
- Diederik P. Kingma
- Garrett Wilson
- Jonathan Ho
- Max Welling
- Laurent Dinh
- Laurent Itti
- Yoshua Bengio
- Sergey Levine
- Pieter Abbeel
- Diane Joyce Cook
Papers from Gustavo Deco's perspective
Ordered by how strongly the researchers Gustavo Deco 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)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- ImageNet: A large-scale hierarchical image database
- Emergence of simple-cell receptive field properties by learning a sparse code for natural images
Their papers
- A Neurodynamical Model of Visual Attention: Feedback Enhancement of Spatial Resolution in a Hierarchical System (2001) — 61 citations
- A hierarchical neural system with attentional top-down enhancement of the spatial resolution for object recognition. (2000) — 85 citations
- Non-linear Feature Extraction by Redundancy Reduction in an Unsupervised Stochastic Neural Network (1997)
- Higher Order Statistical Decorrelation without Information Loss (1994)