Robert S. Pienta

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 70 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 59 citations into it
• Computer Vision and Pattern Recognition — 58 citations into it; #18,960 of 21,575 by trust here, #14,151 by citations
• Safety, Robustness & Interpretability — 34 citations into it
• Biophysics — 10 citations into it; #984 of 1,196 by trust here, #754 by citations
• Information Systems and Management — 5 citations into it
• Safety Research — 5 citations into it

Whom Robert S. Pienta trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Ilya Sutskever
5. Christian Szegedy
6. Ian J. Goodfellow
7. Yann LeCun
8. Matthew D. Zeiler
9. Diederik P. Kingma
10. Kaiming He

Who trusts Robert S. Pienta overall

1. S. M. Mousavi

Papers from Robert S. Pienta's perspective

Ordered by how strongly the researchers Robert S. Pienta 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

• Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers (2018) — 606 citations