Andrew D. Hellicar

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it; #30,993 of 35,345 by trust here, #24,417 by citations
• Model Architectures — 25 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it

Whom Andrew D. Hellicar trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Ilya Sutskever
4. Sepp Hochreiter
5. J. Urgen Schmidhuber
6. Yann LeCun
7. Alex Graves
8. Herbert Jaeger
9. Mikael Henaff
10. Diederik P. Kingma

Who trusts Andrew D. Hellicar overall

1. Mario Lezcano Casado
2. Andrea Cossu

Papers from Andrew D. Hellicar's perspective

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

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

Their papers

• Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections (2016) — 146 citations