Seyedarian Hosseini

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Reinforcement Learning — 24 citations into it
• Natural Language Processing — 14 citations into it

Whom Seyedarian Hosseini trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Terry Winograd (in Natural Language Processing)
2. Peter Stone (in Artificial Intelligence)

Papers from Seyedarian Hosseini's perspective

Ordered by how strongly the researchers Seyedarian Hosseini trusts endorse each paper. Same corpus, a different order for every researcher.

1. Asynchronous Methods for Deep Reinforcement Learning
2. Dropout: a simple way to prevent neural networks from overfitting
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. Apprenticeship learning via inverse reinforcement learning
10. Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping

Their papers

• Learning to Understand Goal Specifications by Modelling Reward (2018) — 167 citations