Esther Robb
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 2 papers; trusts 472 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 91 citations into it
- Artificial Intelligence — 41 citations into it
- Generative Models — 37 citations into it
- Media Technology — 24 citations into it
- Model Architectures — 17 citations into it
- Optimization & Training — 11 citations into it
- Neural Architecture Search & AutoML — 9 citations into it
- Computational Mechanics — 6 citations into it
Whom Esther Robb trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Tero Karras
- Karen Simonyan
- Diederik P. Kingma
- Yoshua Bengio
- Yann LeCun
- Ilya Sutskever
- Ross B. Girshick
Who trusts Esther Robb overall
Papers from Esther Robb's perspective
Ordered by how strongly the researchers Esther Robb trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Few-Shot Adaptation of Generative Adversarial Networks (2020) — 112 citations
- NAS-DIP: Learning Deep Image Prior with Neural Architecture Search (2020) — 64 citations