Jessica Lopez

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it; #20,002 of 35,345 by trust here, #24,417 by citations
• Optimization & Training — 5 citations into it

Whom Jessica Lopez trusts overall

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

1. Matthew D. Zeiler
2. Diederik P. Kingma
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. R´emi Munos
6. John C. Duchi
7. Mykel J. Kochenderfer
8. Yaakov Engel
9. Ilya Sutskever
10. Jimmy Ba

Who trusts Jessica Lopez overall

1. Guy Katz
2. Clark W. Barrett
3. Shiqi Wang
4. Nicholas Carlini
5. Divya Gopinath
6. Hung Viet Pham

Papers from Jessica Lopez's perspective

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

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

Their papers

• Policy compression for aircraft collision avoidance systems (2016) — 272 citations