James L. Blackshire
Artificial Intelligence · 2010–2020
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 9 citations into it
Whom James L. Blackshire trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts James L. Blackshire overall
Papers from James L. Blackshire's perspective
Ordered by how strongly the researchers James L. Blackshire trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
- Scikit-learn: Machine Learning in Python
- Automatic differentiation in machine learning: a survey
- Benchmarking TPU, GPU, and CPU Platforms for Deep Learning (arXiv.org)
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)