Samira Shabanian

Artificial Intelligence · 2015–2023

A researcher in the Science corpus: 5 papers; trusts 104 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 117 citations into it
• Computer Vision and Pattern Recognition — 55 citations into it
• Safety, Robustness & Interpretability — 46 citations into it
• Natural Language Processing — 36 citations into it
• Optimization & Training — 29 citations into it
• Probabilistic & Bayesian Methods — 24 citations into it
• Representation & Self-Supervised Learning — 23 citations into it
• Generative Models — 20 citations into it

Whom Samira Shabanian trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Ruslan Salakhutdinov
4. Radford M. Neal
5. Diederik P. Kingma
6. Alex Krizhevsky
7. Yann LeCun
8. Hugo Larochelle
9. Ilya Sutskever
10. Richard S. Sutton

Who trusts Samira Shabanian overall

1. Casper Kaae Sønderby

Papers from Samira Shabanian's perspective

Ordered by how strongly the researchers Samira Shabanian 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Bidirectional Helmholtz Machines (2015) — 26 citations
• On the Learning Dynamics of Deep Neural Networks (2018) — 44 citations
• Systematic Rectification of Language Models via Dead-end Analysis (2023) — 22 citations
• Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness Metrics (2021) — 38 citations
• Theano: A Python framework for fast computation of mathematical expressions (2016) — 2,380 citations