Erika Lloyd

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 43 citations into it
• Atomic and Molecular Physics, and Optics — 18 citations into it
• Optimization & Training — 6 citations into it

Whom Erika Lloyd trusts overall

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

1. Edward Farhi
2. Maria Schuld
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. David E. Rumelhart
6. Bernhard Schölkopf
7. Giuseppe Carleo
8. Jimmy Ba
9. Edward Grant
10. Abhinav Kandala

Who trusts Erika Lloyd overall

1. Maria Schuld

Papers from Erika Lloyd's perspective

Ordered by how strongly the researchers Erika Lloyd 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
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. Learning representations by back-propagating errors
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Parameterized quantum circuits as machine learning models (2019) — 1,332 citations