Spencer Greenberg

Artificial Intelligence · 2013

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Statistics and Probability — 10 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Statistical Learning Theory — 8 citations into it

Whom Spencer Greenberg trusts overall

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

1. Vladimir Koltchinskii
2. Corinna Cortes
3. Vladimir Naumovich Vapnik
4. Yuhai Wu
5. Shahar Mendelson
6. Michel Talagrand
7. David Haussler
8. Martin H. Anthony
9. Colin J. H. McDiarmid
10. W. Hoeffding

Papers from Spencer Greenberg's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Statistical Learning Theory
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Neural Network Learning: Theoretical Foundations
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Analysis of Representations for Domain Adaptation
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Relative deviation learning bounds and generalization with unbounded loss functions (2013) — 40 citations