Izzeddin Gur

Artificial Intelligence · 2018–2023

A researcher in the Science corpus: 5 papers; trusts 22 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 124 citations into it; #27,179 of 35,345 by trust here, #12,580 by citations
• Computer Vision and Pattern Recognition — 45 citations into it
• Reinforcement Learning — 31 citations into it
• LLM Agents & Tool Use — 18 citations into it

Whom Izzeddin Gur trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Graves
4. Diederik P. Kingma
5. Ilya Sutskever
6. Alex Krizhevsky
7. Oriol Vinyals
8. Andrew Y. Ng
9. Yann LeCun
10. Evan Zheran Liu

Who trusts Izzeddin Gur overall

1. Shunyu Yao
2. Geunwoo Kim
3. Christopher Rawles
4. Boyuan Zheng
5. Boyu Gou
6. Pierre Baldi
7. Howard Chen
8. Jihan Yang
9. Stephen Marcus McAleer
10. Hongliang He

Papers from Izzeddin Gur's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Learning to Navigate the Web (2018) — 78 citations
• Understanding HTML with Large Language Models (2022) — 95 citations
• A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis (2023) — 391 citations
• Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models (2023) — 337 citations
• Adversarial Environment Generation for Learning to Navigate the Web (2021) — 19 citations