Stephen Coggeshall
Artificial Intelligence · 2014
A researcher in the Science corpus: 1 paper; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 26 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
- Statistical Learning Theory — 12 citations into it
- Information Systems — 9 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
- Computer Networks and Communications — 5 citations into it
- Statistics and Probability — 5 citations into it
Whom Stephen Coggeshall trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Charu C. Aggarwal
- Leo Breiman
- Radford M. Neal
- Thorsten Joachims
- Vladimir Naumovich Vapni
- David Hilton Wolpert
- Tom White
- Yoav Freund
- David William Aha
- Joseph Dean
Who trusts Stephen Coggeshall overall
- Edward J. Kim
- Daniel Zügner
- Charu C. Aggarwal
- Robert J. Brunner
- Amir Akbarnejad
- Stephan Günnemann
- Viktor Losing
Papers from Stephen Coggeshall's perspective
Ordered by how strongly the researchers Stephen Coggeshall 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Data Classification: Algorithms and Applications (2014) — 376 citations