Will Norcliffe-Brown
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 18 citations into it; #20,247 of 35,345 by trust here, #16,771 by citations
- Computer Vision and Pattern Recognition — 12 citations into it; #12,629 of 21,575 by trust here, #11,286 by citations
- Multimodal Learning — 8 citations into it
- Graph Learning — 6 citations into it; #447 of 693 by trust here, #417 by citations
Whom Will Norcliffe-Brown trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Damien Teney
- Geoffrey E. Hinton
- Thomas Kipf
- Jimmy Ba
- Davide Boscaini
- Yoshua Bengio
- Peter Anderson
- Max Welling
- Alex Krizhevsky
Who trusts Will Norcliffe-Brown overall
- Drew A. Hudson
- Robik Shrestha
- Rémi Cadène
- Difei Gao
- Xiaosong Wang
- Ruixue Tang
- Chunxiao Liu
- Xinzhe Han
- Deng Huang
- Christopher D. Manning
Papers from Will Norcliffe-Brown's perspective
Ordered by how strongly the researchers Will Norcliffe-Brown 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Learning Conditioned Graph Structures for Interpretable Visual Question Answering (2018) — 257 citations