Gabriel Poesia

Artificial Intelligence · 2022

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 55 citations into it
• Large Language Models — 19 citations into it

Whom Gabriel Poesia trusts overall

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

1. Nils Reimers
2. Terence John Parr
3. Ilya Sutskever
4. Geoffrey E. Hinton
5. Diederik P. Kingma
6. Yoshua Bengio
7. Alex Krizhevsky
8. Richard Shin
9. Yann LeCun
10. Kaiming He

Who trusts Gabriel Poesia overall

1. Aman Madaan
2. Richard Shin
3. Naman Jain
4. Hung Le
5. Benjamin Van Durme
6. Uri Alon

Papers from Gabriel Poesia's perspective

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

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

Their papers

• Parsel: A Unified Natural Language Framework for Algorithmic Reasoning (2022) — 17 citations
• Synchromesh: Reliable code generation from pre-trained language models (2022) — 213 citations