Daniel M. Goldenholz

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it; #15,120 of 21,575 by trust here, #20,756 by citations

Whom Daniel M. Goldenholz trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ilya Sutskever

Who trusts Daniel M. Goldenholz overall

1. Mohammad Khubeb Siddiqui

Papers from Daniel M. Goldenholz's perspective

Ordered by how strongly the researchers Daniel M. Goldenholz trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. A review of automatic selection methods for machine learning algorithms and hyper-parameter values
8. Deep Learning: A Primer for Radiologists.
9. Learning Multiple Layers of Features from Tiny Images
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Machine Learning Applications in Epilepsy (2019) — 304 citations