Tristan Laidlow
Computer Vision and Pattern Recognition · 2021
A researcher in the Science corpus: 1 paper; trusts 69 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 25 citations into it; #20,637 of 21,575 by trust here, #14,478 by citations
- Aerospace Engineering — 10 citations into it; #6,023 of 6,421 by trust here, #3,519 by citations
- Artificial Intelligence — 7 citations into it
- Computer Graphics and Computer-Aided Design — 7 citations into it
- Computational Mechanics — 5 citations into it
Whom Tristan Laidlow trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- John McCormac
- Geoffrey E. Hinton
- Rob Fergus
- Alex Krizhevsky
- Kaiming He
- Jimmy Ba
- David Eigen
- Yoshua Bengio
- Yann LeCun
Who trusts Tristan Laidlow overall
Papers from Tristan Laidlow's perspective
Ordered by how strongly the researchers Tristan Laidlow 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- In-Place Scene Labelling and Understanding with Implicit Scene Representation (2021) — 560 citations