David P. Williamson
Computational Theory and Mathematics · 1995–2011
A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 109 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 16 citations into it; #3,101 of 12,182 by trust here, #7,142 by citations
- Algorithms & Complexity — 7 citations into it
- Computer Networks and Communications — 7 citations into it; #2,239 of 9,886 by trust here, #6,498 by citations
- Industrial and Manufacturing Engineering — 7 citations into it
- Computer Graphics and Computer-Aided Design — 5 citations into it
- Organizational Behavior and Human Resource Management — 5 citations into it
Whom David P. Williamson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sanjeev Arora
- J. Håstad
- Robert Endre Tarjan
- Dimitris J. Bertsimas
- Gabriel Robins
- Karla L. Hoffman
- Satish Rao
- N. Linial
- Madhukar R. Korupolu
- Jittat Fakcharoenphol
Who trusts David P. Williamson overall
- Anshumali Shrivastava
- Sariel Har-Peled
- Ping Li
- Jaehyun Park
- Cynthia Rudin
- Rama Cont
- Uriel Feige
- Pablo A. Parrilo
- S. Burer
- Yann Chevaleyre
Papers from David P. Williamson's perspective
Ordered by how strongly the researchers David P. Williamson 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory