Farzad Niroui
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 7 citations into it
- Reinforcement Learning — 7 citations into it
- Artificial Intelligence — 6 citations into it
- Aerospace Engineering — 5 citations into it
Whom Farzad Niroui trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Brian Yamauchi
- Lei Tai
- Matthew J. Hausknecht
- Volodymyr Mnih
- Jens Kober
- Ravi Garg
- Sen Wang
- Kai Arulkumaran
- Audrunas Gruslys
- Carlos Sampedro
Who trusts Farzad Niroui overall
Papers from Farzad Niroui's perspective
Ordered by how strongly the researchers Farzad Niroui 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
- Human-level control through deep reinforcement learning
- Long Short-Term Memory
- Asynchronous Methods for Deep Reinforcement Learning
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)