Benjamin Solnik

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it; #16,843 of 35,345 by trust here, #7,945 by citations

Whom Benjamin Solnik trusts overall

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

1. Kaiming He
2. Jasper Snoek
3. Kevin Swersky
4. Nikolaus Hansen
5. Wojciech Zaremba
6. Ilya Sutskever
7. Geoffrey E. Hinton
8. Yoshua Bengio
9. Andreas Krause
10. Thomas Desautels

Who trusts Benjamin Solnik overall

1. Liam Li
2. Ekin Dogus Cubuk
3. Rishabh Agarwal
4. Xuanyi Dong
5. Barret Zoph
6. Marc-André Zöller
7. Eric Liang
8. Quoc V. Le
9. Tong Yu
10. Sanjay Krishnan

Papers from Benjamin Solnik's perspective

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

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

Their papers

• Google Vizier: A Service for Black-Box Optimization (2017) — 846 citations