Philip Botros

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it
• Generative Models — 7 citations into it
• Safety, Robustness & Interpretability — 5 citations into it

Whom Philip Botros trusts overall

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

1. Diederik P. Kingma
2. Max Welling
3. Ali Rahimi
4. J. Tomczak
5. Richard S. Zemel
6. Geoffrey E. Hinton
7. Jimmy Ba
8. Chris J. Maddison
9. Eric Jang
10. Arthur Gretton

Papers from Philip Botros's perspective

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

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

Their papers

• Hierarchical VampPrior Variational Fair Auto-Encoder (2018) — 7 citations