Aharon Bar-Hillel
Computer Vision and Pattern Recognition · Journal of machine learning research · 2003–2014
A researcher in the Science corpus: 5 papers; trusts 120 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 34 citations into it; #9,202 of 21,575 by trust here, #14,478 by citations
- Automotive Engineering — 12 citations into it; #1,822 of 3,081 by trust here, #1,636 by citations
- Artificial Intelligence — 11 citations into it
- Representation & Self-Supervised Learning — 8 citations into it
- Signal Processing — 7 citations into it
- Environmental Engineering — 6 citations into it
Whom Aharon Bar-Hillel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ralph Linsker
- R. Golden
- Z. Kim
- Anthony J. Bell
- Josh Tenenbaum
- Geoffrey E. Hinton
- Peter N. Belhumeur
- Alex Krizhevsky
- Noam Shental
- Navneet Dalal
Who trusts Aharon Bar-Hillel overall
- Sugato Basu
- Kilian Q. Weinberger
- Martin Danelljan
- Francis R. Bach
- Michael Fink
- Steven C. H. Hoi
- Ruslan Salakhutdinov
- Jacob Goldberger
- Mikhail Bilenko
- Daoqiang Zhang
Papers from Aharon Bar-Hillel's perspective
Ordered by how strongly the researchers Aharon Bar-Hillel trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Locally Orderless Tracking (2012) — 490 citations
- Recent progress in road and lane detection: a survey (2014) — 788 citations
- 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