Sami Abu-El-Haija
Artificial Intelligence · 2016–2020
A researcher in the Science corpus: 5 papers; trusts 192 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 151 citations into it; #20,103 of 35,345 by trust here, #4,137 by citations
- Graph Learning — 95 citations into it
- Computer Vision and Pattern Recognition — 89 citations into it; #16,085 of 21,575 by trust here, #4,402 by citations
- Representation & Self-Supervised Learning — 62 citations into it
- Statistical and Nonlinear Physics — 41 citations into it
- Molecular Biology — 25 citations into it
- Model Architectures — 22 citations into it
- Computational Theory and Mathematics — 19 citations into it
Whom Sami Abu-El-Haija trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Yann LeCun
- Tomas Mikolov
- Ruslan Salakhutdinov
- Max Welling
- Kaiming He
Who trusts Sami Abu-El-Haija overall
- Johannes Klicpera
- Benedek Rozemberczki
- Luisa Verdoliva
- Ronald Kemker
- Aleksandar Bojchevski
- Stephan Günnemann
- Jiong Zhu
- Pan Li
- Andreas Rössler
- Rowan Zellers
Papers from Sami Abu-El-Haija's perspective
Ordered by how strongly the researchers Sami Abu-El-Haija trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- YouTube-8M: A Large-Scale Video Classification Benchmark (2016) — 1,406 citations
- Machine Learning on Graphs: A Model and Comprehensive Taxonomy (2020) — 347 citations
- MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing (2019) — 1,157 citations
- N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification (2018) — 295 citations
- Watch Your Step: Learning Node Embeddings via Graph Attention (2017) — 207 citations