Henry Gouk
Artificial Intelligence · with Ericsson · 2020–2021
A researcher in the Science corpus: 2 papers; trusts 554 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 91 citations into it
- Computer Vision and Pattern Recognition — 88 citations into it
- Representation & Self-Supervised Learning — 66 citations into it; #2,678 of 3,145 by trust here, #2,691 by citations
- Evaluation & Benchmarks — 22 citations into it
- Signal Processing — 13 citations into it
- Media Technology — 7 citations into it
- Graph Learning — 6 citations into it
- Model Architectures — 6 citations into it
Whom Henry Gouk trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Ross B. Girshick
- Diederik P. Kingma
- Yoshua Bengio
- Andrew Zisserman
- Yann LeCun
- Ilya Sutskever
- Jia Deng
Who trusts Henry Gouk overall
Papers from Henry Gouk's perspective
Ordered by how strongly the researchers Henry Gouk 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)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Self-Supervised Representation Learning: Introduction, advances, and challenges (2021) — 410 citations
- How Well Do Self-Supervised Models Transfer? (2020) — 327 citations