Steven Gutstein
Computer Vision and Pattern Recognition · 2007–2015
A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 13 citations into it; #12,543 of 21,575 by trust here, #16,367 by citations
- Artificial Intelligence — 10 citations into it; #20,088 of 35,345 by trust here, #25,040 by citations
- Model Architectures — 10 citations into it
- Representation & Self-Supervised Learning — 9 citations into it
Whom Steven Gutstein trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sebastian Thrun
- R. Caruana
- Yann LeCun
- Patrice Y. Simard
- Geoffrey E. Hinton
- Jonathan Baxter
- Yoshua Bengio
- John S. Denker
- Alex Krizhevsky
- Simon Osindero
Who trusts Steven Gutstein overall
- Abel S. Zacarias
- Tianqi Chen
- Luís A. Alexandre
- Shagun Sodhani
- Ian J. Goodfellow
- Roby Velez
- Lin Wang
- Hossein Azizpour
Papers from Steven Gutstein's perspective
Ordered by how strongly the researchers Steven Gutstein 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)
- 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
- ImageNet Large Scale Visual Recognition Challenge
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Knowledge Transfer in Deep convolutional Neural Nets (2007) — 55 citations
- Reduction of catastrophic forgetting with transfer learning and ternary output codes (2015) — 13 citations