Ilya O. Tolstikhin

Computer Vision and Pattern Recognition · with Gelly · 2017

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it; #14,872 of 21,575 by trust here, #6,542 by citations
• Artificial Intelligence — 14 citations into it; #24,090 of 35,345 by trust here, #9,275 by citations

Whom Ilya O. Tolstikhin trusts overall

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

1. Diederik P. Kingma
2. Yann LeCun
3. Kaiming He
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Sergey Ioffe
7. Alex Krizhevsky
8. Christian Szegedy
9. Jimmy Ba
10. Cédric Villani

Who trusts Ilya O. Tolstikhin overall

1. Samarth Sinha
2. Adji Bousso Dieng
3. Yedid Hoshen
4. Bin Dai
5. Michael Tschannen
6. Yang Song
7. Jiaming Song
8. Mihaela Rosca
9. Zhengli Zhao
10. Ivan Kobyzev

Papers from Ilya O. Tolstikhin's perspective

Ordered by how strongly the researchers Ilya O. Tolstikhin 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. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
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. GENERATIVE ADVERSARIAL NETS

Their papers

• Wasserstein Auto-Encoders (2017) — 1,174 citations