Tomer Hertz

Representation & Self-Supervised Learning · 2003–2005

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Representation & Self-Supervised Learning — 7 citations into it

Whom Tomer Hertz trusts overall

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

1. Ralph Linsker
2. R. Golden
3. Anthony J. Bell
4. Josh Tenenbaum
5. Aharon Bar-Hillel
6. Peter N. Belhumeur
7. Judea Pearl
8. Noam Shental
9. Daniel Klein
10. Sebastian Thrun

Who trusts Tomer Hertz overall

1. Sugato Basu
2. Kilian Q. Weinberger
3. Francis R. Bach
4. Michael Fink
5. Jacob Goldberger
6. Daoqiang Zhang
7. Steven C. H. Hoi
8. Aharon Bar-Hillel
9. Mikhail Bilenko
10. Fei Wang

Papers from Tomer Hertz's perspective

Ordered by how strongly the researchers Tomer Hertz 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. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Learning a Mahalanobis Metric from Equivalence Constraints (2005) — 589 citations
• Learning Distance Functions using Equivalence Relations (2003) — 510 citations
• Computing Gaussian Mixture Models with EM Using Equivalence Constraints (2003) — 326 citations