Gregory Plumb

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it; #15,179 of 35,345 by trust here, #18,186 by citations
• Safety, Robustness & Interpretability — 27 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Natural Language Processing — 8 citations into it

Whom Gregory Plumb trusts overall

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

1. Marco Tulio Ribeiro
2. Jerome H. Friedman
3. Zachary Chase Lipton
4. Diederik P. Kingma
5. Yann LeCun
6. David Alvarez-Melis
7. Sameer Singh
8. Adam E. Bloniarz
9. Geoffrey E. Hinton
10. Karen Simonyan

Who trusts Gregory Plumb overall

1. Jinsung Yoon
2. Yu Zhang
3. Nadia Burkart
4. Sercan Ö. Arik
5. Peter Tino
6. Francesco Bodria
7. Xuhong Li
8. Scott M. Lundberg
9. Marco F. Huber
10. Tomas Pfister

Papers from Gregory Plumb's perspective

Ordered by how strongly the researchers Gregory Plumb 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
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. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Regularizing Black-box Models for Improved Interpretability (2019) — 85 citations
• Model Agnostic Supervised Local Explanations (2018) — 224 citations