Nimrod Rappoport
Molecular Biology · 2018
A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 21 citations into it
- Artificial Intelligence — 18 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
- Representation & Self-Supervised Learning — 8 citations into it
- Statistics and Probability — 7 citations into it
- Probabilistic & Bayesian Methods — 6 citations into it
- Signal Processing — 5 citations into it
Whom Nimrod Rappoport trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Judea Pearl
- Ulrike von Luxburg
- Virginia de Sa
- Peter J. Rousseeuw
- Ilya Sutskever
- David W. Hosmer Jr.
- Daniel D. Lee
- Ronglai Shen
- Alex Krizhevsky
Who trusts Nimrod Rappoport overall
Papers from Nimrod Rappoport's perspective
Ordered by how strongly the researchers Nimrod Rappoport 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Multi-omic and multi-view clustering algorithms: review and cancer benchmark (2018) — 440 citations