Darren Seibert
Cognitive Neuroscience · 2014
A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 14 citations into it; #2,835 of 10,852 by trust here, #1,539 by citations
- Computer Vision and Pattern Recognition — 7 citations into it; #8,964 of 21,575 by trust here, #4,807 by citations
Whom Darren Seibert trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Darren Seibert overall
Papers from Darren Seibert's perspective
Ordered by how strongly the researchers Darren Seibert trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Distinctive Image Features from Scale-Invariant Keypoints
- Learning methods for generic object recognition with invariance to pose and lighting
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Convolutional networks for images, speech, and time series
- Scikit-learn: Machine Learning in Python
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Going deeper with convolutions
Their papers
- Performance-optimized hierarchical models predict neural responses in higher visual cortex (2014) — 2,251 citations