Russell Kaplan

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it; #20,985 of 35,345 by trust here, #25,040 by citations
• Computer Vision and Pattern Recognition — 13 citations into it; #13,012 of 21,575 by trust here, #16,367 by citations

Whom Russell Kaplan trusts overall

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

1. Diederik P. Kingma
2. Volodymyr Mnih
3. Geoffrey E. Hinton
4. Jimmy Ba
5. Tomás Pevný
6. Patrick Bas
7. Jamie Hayes
8. Preeti Parashar
9. Yoshua Bengio
10. Alex Krizhevsky

Who trusts Russell Kaplan overall

1. J'er'emy Scheurer
2. Huan Ling
3. Andrew Kyle Lampinen
4. Brielen Madureira
5. Artyom Y. Sorokin
6. Kevin Alex Zhang
7. Jon Ander Campos
8. Sanja Fidler
9. David Schlangen
10. Nicholas A. Roy

Papers from Russell Kaplan's perspective

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

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

Their papers

• HiDDeN: Hiding Data With Deep Networks (2018) — 1,192 citations
• Beating Atari with Natural Language Guided Reinforcement Learning (2017) — 73 citations