David Rolnick

Artificial Intelligence · with Benjamin · 2018

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #12,916 of 35,345 by trust here, #19,018 by citations
• Optimization & Training — 13 citations into it; #1,255 of 2,601 by trust here, #1,661 by citations
• Computer Vision and Pattern Recognition — 5 citations into it

Whom David Rolnick trusts overall

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

1. James Martens
2. Shun-ichi Amari
3. Manfred Opper
4. Razvan Pascanu
5. Yoshua Bengio
6. Geoffrey E. Hinton
7. Yann LeCun
8. N. Schraudolph
9. Diederik P. Kingma
10. David Lopez-Paz

Who trusts David Rolnick overall

1. Zhen Wang
2. Prashant Bhat
3. Rui Gao
4. Matteo Boschini
5. Liu Liu
6. Johannes von Oswald
7. Tim G. J. Rudner
8. Bahram Zonooz
9. Elahe Arani
10. Pingbo Pan

Papers from David Rolnick's perspective

Ordered by how strongly the researchers David Rolnick 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Measuring and regularizing networks in function space (2018) — 168 citations