Willem F. G. Haselager
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 94 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 48 citations into it; #17,699 of 35,345 by trust here, #17,776 by citations
- Safety, Robustness & Interpretability — 36 citations into it; #1,171 of 2,251 by trust here, #1,512 by citations
- Computer Vision and Pattern Recognition — 20 citations into it
- Safety Research — 6 citations into it
- AI Ethics, Fairness & Society — 5 citations into it
- Biophysics — 5 citations into it
Whom Willem F. G. Haselager trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Karen Simonyan
- Alex Krizhevsky
- Matthew D. Zeiler
- Yann LeCun
- Diederik P. Kingma
- W. James Murdoch
- Ilya Sutskever
- Kaiming He
Who trusts Willem F. G. Haselager overall
Papers from Willem F. G. Haselager's perspective
Ordered by how strongly the researchers Willem F. G. Haselager 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Explanation Methods in Deep Learning: Users, Values, Concerns and Challenges (2018) — 245 citations