K. M. Collins

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 K. M. Collins 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
8. Isabelle M Guyon
9. Michael B. Elowitz
10. Hervé Abdi

Papers from K. M. Collins's perspective

Ordered by how strongly the researchers K. M. Collins 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. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

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