Dillon Davis
Computer Vision and Pattern Recognition · 2018
A researcher in the Science corpus: 1 paper; trusts 339 researchers and is trusted by 56 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 28 citations into it
- Artificial Intelligence — 20 citations into it; #4,134 of 35,345 by trust here, #5,120 by citations
- Representation & Self-Supervised Learning — 7 citations into it
- Efficiency & Compression — 6 citations into it; #141 of 1,264 by trust here, #275 by citations
- Model Architectures — 6 citations into it
Whom Dillon Davis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Kaiming He
- Karen Simonyan
- Andrew Zisserman
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Yann LeCun
- Diederik P. Kingma
- Ilya Sutskever
Who trusts Dillon Davis overall
- Chengwei Qin
- Marc Masana
- Xialei Liu
- Rahaf Aljundi
- Pedro Morgado
- Timothée Lesort
- Michael Crawshaw
- Eden Belouadah
- Joost van de Weijer
- Tinne Tuytelaars
Papers from Dillon Davis's perspective
Ordered by how strongly the researchers Dillon Davis 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
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights (2018) — 791 citations