Maryam Zare

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it
• Reinforcement Learning — 34 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it
• Control and Systems Engineering — 18 citations into it

Whom Maryam Zare trusts overall

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

1. Sergey Levine
2. Pieter Abbeel
3. Geoffrey E. Hinton
4. Martín Arjovsky
5. Alex Krizhevsky
6. Andrew Y. Ng
7. Diederik P. Kingma
8. L. Eon Bottou
9. Chelsea Finn
10. Yoshua Bengio

Papers from Maryam Zare's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. GENERATIVE ADVERSARIAL NETS
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges (2023) — 329 citations