Imed Zitouni

Artificial Intelligence · 2015–2019

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Information Systems — 23 citations into it
• Management Science and Operations Research — 23 citations into it
• Reinforcement Learning — 13 citations into it
• Statistics and Probability — 8 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Recommender Systems — 5 citations into it

Whom Imed Zitouni trusts overall

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

1. Olivier Chapelle
2. J. Langford
3. Lihong Li
4. Andreas Maurer
5. Diane Lambert
6. Ricardo A. Baeza-Yates
7. L. Eon Bottou

Papers from Imed Zitouni's perspective

Ordered by how strongly the researchers Imed Zitouni 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Reinforcement Learning: An Introduction
8. Doubly Robust Policy Evaluation and Learning
9. Cumulated gain-based evaluation of IR techniques
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Off-policy evaluation for slate recommendation (2016) — 255 citations
• Toward Predicting the Outcome of an A/B Experiment for Search Relevance (2015) — 42 citations
• Automatic Task Completion Flows from Web APIs (2019) — 3 citations