Ali Ghadirzadeh
Artificial Intelligence · 2017
A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 18 citations into it; #21,868 of 35,345 by trust here, #17,776 by citations
- Reinforcement Learning — 18 citations into it; #1,530 of 2,242 by trust here, #1,519 by citations
- Control and Systems Engineering — 10 citations into it; #4,715 of 8,257 by trust here, #2,612 by citations
- Computer Vision and Pattern Recognition — 7 citations into it
Whom Ali Ghadirzadeh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sergey Levine
- Carl Doersch
- Marc Peter Deisenroth
- Pieter Abbeel
- Jan Peters
- Chelsea Finn
- John T. Betts
- Diederik P. Kingma
- John Schulman
- Geoffrey E. Hinton
Who trusts Ali Ghadirzadeh overall
- Sergey Levine
- Avi Singh
- Chelsea Finn
- Peter R. Florence
- Dibya Ghosh
- Julian Ibarz
- Andy Zeng
- Chris Paxton
- Deirdre Quillen
- Abhishek Gupta
Papers from Ali Ghadirzadeh's perspective
Ordered by how strongly the researchers Ali Ghadirzadeh 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
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- GENERATIVE ADVERSARIAL NETS
Their papers
- Deep predictive policy training using reinforcement learning (2017) — 138 citations