Jure Sokolić

Artificial Intelligence · 2016

A researcher in the Science corpus: 2 papers; trusts 69 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it; #19,854 of 35,345 by trust here, #14,438 by citations
• Computer Vision and Pattern Recognition — 34 citations into it; #12,415 of 21,575 by trust here, #9,872 by citations
• Model Architectures — 21 citations into it
• Optimization & Training — 12 citations into it
• Statistical Learning Theory — 9 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Scaling & Learning Theory — 7 citations into it

Whom Jure Sokolić trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yann LeCun
4. Yoshua Bengio
5. Vladimir Naumovich Vapnik
6. Kaiming He
7. Peter L. Bartlett
8. Diederik P. Kingma
9. Ilya Sutskever
10. Joan Bruna

Who trusts Jure Sokolić overall

1. Kenji Kawaguchi
2. Colin Wei
3. Zhiwei Jia
4. Daniel Jakubovitz
5. Leslie Pack Kaelbling
6. Cem Anil
7. Ben Athiwaratkun
8. Vikas K. Garg
9. Raja Giryes
10. Shuai Li

Papers from Jure Sokolić's perspective

Ordered by how strongly the researchers Jure Sokolić 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Robust Large Margin Deep Neural Networks (2016) — 349 citations
• Generalization Error of Invariant Classifiers (2016) — 82 citations