Phil Roth

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #24,435 of 35,345 by trust here, #29,412 by citations
• Signal Processing — 15 citations into it; #5,058 of 7,572 by trust here, #6,083 by citations
• Computer Networks and Communications — 12 citations into it; #6,466 of 9,886 by trust here, #7,832 by citations
• Reinforcement Learning — 6 citations into it

Whom Phil Roth trusts overall

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

1. William W. Cohen
2. J. Kolter
3. Joshua Saxe
4. Matthew G. Schultz
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Yann LeCun
8. Yoshua Bengio
9. M. Maloof
10. Richard S. Sutton

Who trusts Phil Roth overall

1. Giorgio Severi
2. Zhibo Zhang

Papers from Phil Roth's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. ImageNet: A large-scale hierarchical image database
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. GENERATIVE ADVERSARIAL NETS
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
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

• EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models (2018) — 657 citations
• Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning (2018) — 245 citations