Rani K. Powers

Molecular Biology · 2018

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

• Molecular Biology — 41 citations into it
• Computational Theory and Mathematics — 15 citations into it
• Artificial Intelligence — 13 citations into it

Whom Rani K. Powers trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Jonathon Shlens
4. David Ruppert
5. Pedro M. Domingos
6. Lior Rokach
7. A. G. de la Fuente

Papers from Rani K. Powers's perspective

Ordered by how strongly the researchers Rani K. Powers trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Next-Generation Machine Learning for Biological Networks. (2018) — 833 citations