Mia A. Levy

Artificial Intelligence · 2011–2013

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #13,446 of 35,345 by trust here, #13,163 by citations
• Computer Vision and Pattern Recognition — 10 citations into it
• Statistics and Probability — 7 citations into it
• Representation & Self-Supervised Learning — 6 citations into it; #1,493 of 3,145 by trust here, #1,671 by citations

Whom Mia A. Levy trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Quoc V. Le
4. Trevor J. Hastie
5. Honglak Lee
6. Jerome H. Friedman
7. L. V. D. van der Maaten
8. Hui Zou
9. Andrew Y. Ng
10. Dong C. Liu

Who trusts Mia A. Levy overall

1. Zhengping Che
2. Pranjul Yadav

Papers from Mia A. Levy's perspective

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

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

Their papers

• Computational Phenotype Discovery Using Unsupervised Feature Learning over Noisy, Sparse, and Irregular Clinical Data (2013) — 317 citations
• Extracting and integrating data from entire electronic health records for detecting colorectal cancer cases. (2011) — 99 citations