Michael Dzamba
Computational Theory and Mathematics · 2015
A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 25 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 22 citations into it; #1,998 of 12,182 by trust here, #1,319 by citations
- Molecular Biology — 20 citations into it; #2,064 of 17,773 by trust here, #6,338 by citations
- Computational Chemistry & Drug Discovery — 13 citations into it; #71 of 425 by trust here, #174 by citations
- Materials Chemistry — 10 citations into it; #1,172 of 11,513 by trust here, #5,466 by citations
- Artificial Intelligence — 6 citations into it
- Pharmacology — 5 citations into it
Whom Michael Dzamba trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Michael M. Mysinger
- Matthew D. Zeiler
- Thomas Unterthiner
- John J. Irwin
- Brian K. Shoichet
- Vinod Nair
- George E. Dahl
- David E. Rumelhart
- Andreas Mayr
Who trusts Michael Dzamba overall
- Garrett B. Goh
- Fangping Wan
- Charles Siegel
- Adam Bohr
- Zixuan Cang
- Octavian-Eugen Ganea
- Raphael J. L. Townshend
- Tomohide Masuda
- Masashi Tsubaki
- Hakime Öztürk
Papers from Michael Dzamba's perspective
Ordered by how strongly the researchers Michael Dzamba 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)
- Going deeper with convolutions
- Rectified Linear Units Improve Restricted Boltzmann Machines
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- 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 Large Scale Visual Recognition Challenge