Daniel Sparkman
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 9 citations into it
Whom Daniel Sparkman trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma (in Artificial Intelligence)
- Jimmy Ba (in Artificial Intelligence)
Who trusts Daniel Sparkman
- G. Em Karniadakis (in Statistical and Nonlinear Physics)
- Ameya Dilip Jagtap (in Statistical and Nonlinear Physics)
Papers from Daniel Sparkman's perspective
Ordered by how strongly the researchers Daniel Sparkman 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
- Learning Multiple Layers of Features from Tiny Images