Noam Goldberg

Artificial Intelligence · 2010–2012

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it; #14,316 of 35,345 by trust here, #31,361 by citations

Whom Noam Goldberg trusts overall

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

1. Jerome H. Friedman
2. Corinna Cortes
3. Yoav Freund
4. William W. Cohen
5. Robert E. Schapire
6. Marco E. Lübbecke
7. Ayhan Demiriz
8. Jason Aaron Edward Weston
9. Michael Kearns
10. Gunnar Rätsch

Who trusts Noam Goldberg overall

1. Berk Ustun
2. Marc E. Pfetsch
3. Cynthia Rudin
4. Sebastian Pokutta
5. Stefano Tracà

Papers from Noam Goldberg's perspective

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

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

Their papers

• Sparse weighted voting classifier selection and its linear programming relaxations (2012) — 13 citations
• Boosting Classifiers with Tightened L0-Relaxation Penalties (2010) — 10 citations