Hossein Hosseini
Artificial Intelligence · 2017–2018
A researcher in the Science corpus: 5 papers; trusts 254 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 86 citations into it; #11,385 of 35,345 by trust here, #9,870 by citations
- Safety, Robustness & Interpretability — 70 citations into it; #776 of 2,251 by trust here, #910 by citations
- Computer Vision and Pattern Recognition — 58 citations into it; #16,586 of 21,575 by trust here, #15,955 by citations
- Signal Processing — 22 citations into it; #4,207 of 7,572 by trust here, #2,001 by citations
- Computer Networks and Communications — 10 citations into it
- Model Architectures — 10 citations into it
- Information Systems — 8 citations into it
- Media Technology — 8 citations into it
Whom Hossein Hosseini trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Ian J. Goodfellow
- Karen Simonyan
- Christian Szegedy
- Geoffrey E. Hinton
- Yoshua Bengio
- Yann LeCun
- Ilya Sutskever
- Andrew Zisserman
- Nicholas Carlini
Who trusts Hossein Hosseini overall
- Dan Hendrycks
- Joni O. Salminen
- Svetlana Kiritchenko
- Vaishaal Shankar
- Isar Nejadgholi
- Zhijin Qin
- Yotam Gil
- Motoki Sato
- Neel Jain
- Riccardo Volpi
Papers from Hossein Hosseini's perspective
Ordered by how strongly the researchers Hossein Hosseini 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Google's Cloud Vision API is Not Robust to Noise (2017) — 133 citations
- Deceiving Google's Perspective API Built for Detecting Toxic Comments (2017) — 369 citations
- Semantic Adversarial Examples (2018) — 219 citations
- Assessing Shape Bias Property of Convolutional Neural Networks (2018) — 40 citations
- Attacking Automatic Video Analysis Algorithms: A Case Study of Google Cloud Video Intelligence API (2017) — 25 citations