Eric V. Strobl
Statistics and Probability · 2017
A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 15 citations into it; #6,574 of 12,932 by trust here, #8,279 by citations
- Artificial Intelligence — 11 citations into it; #18,174 of 35,345 by trust here, #27,551 by citations
- Statistical Learning Theory — 7 citations into it
Whom Eric V. Strobl trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tom L. Burr
- Arthur Gretton
- Kenji Fukumizu
- Ali Rahimi
- Bernhard Schölkopf
- Liangjun Su
- Kun Zhang
- Danica J. Sutherland
- Don Coppersmith
- Samuel Kotz
Who trusts Eric V. Strobl overall
- Thomas B. Berrett
- Krzysztof Chalupka
- Diviyan Kalainathan
- Yi Wang
- Rina Foygel Barber
- Pietro Perona
- Olivier Goudet
- Richard J. Samworth
Papers from Eric V. Strobl's perspective
Ordered by how strongly the researchers Eric V. Strobl trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning Multiple Layers of Features from Tiny Images
- Gradient-based learning applied to document recognition
- GENERATIVE ADVERSARIAL NETS
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)