Asma Ghandeharioun

Artificial Intelligence · 2013–2020

A researcher in the Science corpus: 5 papers; trusts 96 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 157 citations into it; #11,713 of 35,345 by trust here, #6,956 by citations
• Natural Language Processing — 110 citations into it; #2,458 of 5,688 by trust here, #1,611 by citations
• Reinforcement Learning — 95 citations into it; #948 of 2,242 by trust here, #652 by citations
• Computer Vision and Pattern Recognition — 28 citations into it; #8,926 of 21,575 by trust here, #5,507 by citations
• Social Psychology — 24 citations into it
• Experimental and Cognitive Psychology — 14 citations into it
• Computational Theory and Mathematics — 13 citations into it
• Evaluation & Benchmarks — 13 citations into it

Whom Asma Ghandeharioun trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Jiwei Li
4. Iulian Serban
5. Diederik P. Kingma
6. Richard S. Sutton
7. Oriol Vinyals
8. Ilya Sutskever
9. Alex Krizhevsky
10. Ronald J. Williams

Who trusts Asma Ghandeharioun overall

1. Natasha Jaques
2. Aviral Kumar
3. Stephen Roller
4. Sergey Levine
5. Judy Hanwen Shen
6. Abdelrhman Saleh
7. Scott Fujimoto
8. Eric Michael Smith
9. Tianhe Yu
10. Tomasz Korbak

Papers from Asma Ghandeharioun's perspective

Ordered by how strongly the researchers Asma Ghandeharioun 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog (2019) — 397 citations
• Human-centric Dialog Training via Offline Reinforcement Learning (2020) — 120 citations
• Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems (2019) — 100 citations
• Hierarchical Reinforcement Learning for Open-Domain Dialog (2019) — 61 citations
• A data mining approach for diagnosis of coronary artery disease (2013) — 312 citations