Gregory D. Grant
Cognitive Neuroscience · 2018
A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 14 citations into it; #1,833 of 10,852 by trust here, #3,275 by citations
- Artificial Intelligence — 13 citations into it; #8,870 of 35,345 by trust here, #11,750 by citations
- Cellular and Molecular Neuroscience — 10 citations into it
- Representation & Self-Supervised Learning — 9 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
- Optimization & Training — 5 citations into it
Whom Gregory D. Grant trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Alex Krizhevsky
- Sepp Hochreiter
- Yoshua Bengio
- Ruslan Salakhutdinov
- Richard S. Sutton
- J. Urgen Schmidhuber
- Andrew Barto
- Jimmy Ba
Who trusts Gregory D. Grant overall
- Seyed Iman Mirzadeh
- Gido M. van de Ven
- Benjamin Ehret
- Guangyu Robert Yang
- Mehrdad Farajtabar
- Christian Henning
- Jaya Krishna Mandivarapu
- Mozhgan Pourkeshavarz
- Andreas S. Tolias
- Yajing Kong
Papers from Gregory D. Grant's perspective
Ordered by how strongly the researchers Gregory D. Grant 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
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions