Farhad Arbabzadah
Artificial Intelligence · 2016
A researcher in the Science corpus: 2 papers; trusts 45 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 27 citations into it
- Computer Vision and Pattern Recognition — 23 citations into it
- Representation & Self-Supervised Learning — 9 citations into it
- Safety, Robustness & Interpretability — 8 citations into it
- Biophysics — 5 citations into it
Whom Farhad Arbabzadah trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- R. Caruana
- Geoffrey E. Hinton
- Karen Simonyan
- Matthew D. Zeiler
- Alex Krizhevsky
- Yann LeCun
- Yoshua Bengio
- Sebastian Bach
- Rob Fergus
- Jason Yosinski
Who trusts Farhad Arbabzadah overall
- Wojciech Samek
- Grgoire Montavon
- K. Müller
- Sebastian Lapuschkin
- Risi Kondor
- Kyle Swanson
- Kristof T. Schütt
- Alexander Binder
- Oliver T. Unke
- Erico Tjoa
Papers from Farhad Arbabzadah's perspective
Ordered by how strongly the researchers Farhad Arbabzadah 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Quantum-chemical insights from deep tensor neural networks (2016) — 1,416 citations
- Identifying Individual Facial Expressions by Deconstructing a Neural Network (2016) — 31 citations