Christian Garbin

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Optimization & Training — 10 citations into it

Whom Christian Garbin trusts overall

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

1. Yoshua Bengio
2. Yann LeCun
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Sergey Ioffe
6. Sebastian Ruder
7. Wei-Yin Loh
8. Ilya Sutskever
9. Christian Szegedy
10. Nitish Srivastava

Who trusts Christian Garbin overall

1. D. Saha
2. Muhammad Mohsin Waqas

Papers from Christian Garbin's perspective

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

Their papers

• Dropout vs. batch normalization: an empirical study of their impact to deep learning (2020) — 510 citations