Håvard Kvamme

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Accounting — 8 citations into it
• Optimization & Training — 7 citations into it
• Statistics and Probability — 7 citations into it
• Finance — 5 citations into it
• Signal Processing — 5 citations into it

Whom Håvard Kvamme trusts overall

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

1. Leslie N. Smith
2. Jun Yan
3. David J. Hand
4. Lyn C. Thomas
5. Ilya Loshchilov
6. Cheng Guo
7. Scott M. Lundberg
8. Iain Brown
9. Zhicheng Cui
10. Alex Krizhevsky

Who trusts Håvard Kvamme overall

1. Sebastian Pölsterl

Papers from Håvard Kvamme's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Going deeper with convolutions
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Time-to-Event Prediction with Neural Networks and Cox Regression (2019) — 466 citations
• Predicting mortgage default using convolutional neural networks (2018) — 155 citations