Shmuel Sagiv

Artificial Intelligence · 2017

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

Subfields

• Artificial Intelligence — 15 citations into it; #32,477 of 35,345 by trust here, #27,551 by citations
• Safety, Robustness & Interpretability — 13 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Shmuel Sagiv trusts overall

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

1. Xiaowei Huang
2. Christian Szegedy
3. Yann LeCun

Who trusts Shmuel Sagiv overall

1. Alexey Ignatiev

Papers from Shmuel Sagiv's perspective

Ordered by how strongly the researchers Shmuel Sagiv trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
3. Intriguing properties of neural networks
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Verifying Properties of Binarized Deep Neural Networks (2017) — 237 citations