Benjamin Shickel
Artificial Intelligence · 2017
A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 29 citations into it
- Health Information Management — 12 citations into it
- Molecular Biology — 12 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Benjamin Shickel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Edward Choi
- Geoffrey E. Hinton
- L. V. D. van der Maaten
- Kevin P. Murphy
- Tomas Mikolov
- Di Zhao
- Min Jiang
- Thomas A. Lasko
- Yoshua Bengio
- Stéphane M. Meystre
Who trusts Benjamin Shickel overall
Papers from Benjamin Shickel's perspective
Ordered by how strongly the researchers Benjamin Shickel 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
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)