Ulzii-Orshikh Dorj

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it
• Artificial Intelligence — 5 citations into it

Whom Ulzii-Orshikh Dorj trusts overall

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

1. Alex Krizhevsky
2. Dan Claudiu Ciresan
3. Pierre Sermanet
4. Geoffrey E. Hinton
5. Ilya Sutskever
6. Yann LeCun
7. Ueli Meier
8. J. Urgen Schmidhuber
9. Soumith Chintala
10. Andrea Vedaldi

Papers from Ulzii-Orshikh Dorj's perspective

Ordered by how strongly the researchers Ulzii-Orshikh Dorj 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. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
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

• The skin cancer classification using deep convolutional neural network (2018) — 368 citations