Hani Itani
Artificial Intelligence · 2023
A researcher in the Science corpus: 2 papers; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 134 citations into it
- Large Language Models — 50 citations into it
- Computer Vision and Pattern Recognition — 45 citations into it
- Natural Language Processing — 39 citations into it
- Prompting & Reasoning — 27 citations into it
- Reinforcement Learning — 27 citations into it
- Safety, Robustness & Interpretability — 16 citations into it
- Health Informatics — 7 citations into it
Whom Hani Itani trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Alex Krizhevsky
- Ilya Sutskever
- Jimmy Ba
- Kaiming He
- Yann LeCun
- Laria Reynolds
- Alex Graves
Papers from Hani Itani's perspective
Ordered by how strongly the researchers Hani Itani trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Language Models are Unsupervised Multitask Learners
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
Their papers
- CAMEL: Communicative Agents for "Mind" Exploration of Large Scale Language Model Society (2023) — 390 citations
- CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society (2023) — 1,634 citations