G. Orr

Representation & Self-Supervised Learning · with Mller · 2012

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Representation & Self-Supervised Learning — 19 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it
• Artificial Intelligence — 17 citations into it; #11,081 of 35,345 by trust here, #8,210 by citations

Whom G. Orr trusts overall

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

1. Vladimir Naumovich Vapnik
2. Roberto Battiti
3. N. Schraudolph
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Yann LeCun
7. Sepp Hochreiter
8. Josh Tenenbaum
9. Terrence J. Sejnowski
10. J. Urgen Schmidhuber

Who trusts G. Orr overall

1. Behnam Neyshabur
2. J. Urgen Schmidhuber
3. Grgoire Montavon
4. Matthew D. Zeiler
5. Waseem Rawat
6. Marc Claesen
7. Yoshua Bengio
8. Vasileios Belagiannis
9. K. Müller
10. Ruslan Salakhutdinov

Papers from G. Orr's perspective

Ordered by how strongly the researchers G. Orr 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
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. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Neural Networks: Tricks of the Trade (2012) — 786 citations