Joshua Saxe
Artificial Intelligence · 2015
A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 33 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 11 citations into it; #6,194 of 35,345 by trust here, #15,236 by citations
- Signal Processing — 9 citations into it; #928 of 7,572 by trust here, #2,400 by citations
- Computer Networks and Communications — 6 citations into it; #969 of 9,886 by trust here, #3,005 by citations
- Information Systems — 5 citations into it
Whom Joshua Saxe trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Kaiming He
- Xavier Glorot
- Yoshua Bengio
- Alex Krizhevsky
- William B. Johnson
- Nitish Srivastava
- Jimmy Ba
- Ilya Sutskever
Who trusts Joshua Saxe overall
- H. S. Anderson
- Kathrin Grosse
- Ömer Aslan
- Richard E. Harang
- Amin Azmoodeh
- Daniele Ucci
- Xiaoyong Yuan
- Daniel S. Berman
- Bojan Kolosnjaji
- Yanfang Ye
Papers from Joshua Saxe's perspective
Ordered by how strongly the researchers Joshua Saxe 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Deep neural network based malware detection using two dimensional binary program features (2015) — 716 citations