Elham Khabiri

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 39 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it; #23,541 of 35,345 by trust here, #25,809 by citations
• Computer Vision and Pattern Recognition — 14 citations into it
• Model Architectures — 14 citations into it
• Representation & Self-Supervised Learning — 13 citations into it; #2,316 of 3,145 by trust here, #2,691 by citations
• Natural Language Processing — 12 citations into it; #3,954 of 5,688 by trust here, #4,682 by citations

Whom Elham Khabiri trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. R. Caruana
4. Michael I. Jordan
5. Kyunghyun Cho
6. Sebastian Thrun
7. Sepp Hochreiter
8. Alex Krizhevsky
9. J. Urgen Schmidhuber
10. Yann LeCun

Who trusts Elham Khabiri overall

1. Matthew Riemer
2. Ying Xu
3. Ignacio Cases

Papers from Elham Khabiri's perspective

Ordered by how strongly the researchers Elham Khabiri 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Representation Stability as a Regularizer for Improved Text Analytics Transfer Learning (2017) — 19 citations
• Correcting Forecasts with Multifactor Neural Attention (2016) — 32 citations