Oliver Habryka

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Reinforcement Learning — 12 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Control and Systems Engineering — 6 citations into it

Whom Oliver Habryka trusts overall

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

1. Pieter Abbeel
2. Chelsea Finn
3. Jiaming Song
4. Andrew Y. Ng
5. Sergey Levine
6. Diederik P. Kingma
7. Geoffrey E. Hinton
8. Kavosh Asadi
9. Brian D. Ziebart
10. Richard S. Sutton

Papers from Oliver Habryka's perspective

Ordered by how strongly the researchers Oliver Habryka 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. Attention is All you Need (Neural Information Processing Systems)
4. GENERATIVE ADVERSARIAL NETS
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
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

• Multi-task Maximum Entropy Inverse Reinforcement Learning (2018) — 42 citations