Benjamin Steenhoek

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it

Whom Benjamin Steenhoek trusts overall

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

1. Marc'Aurelio Ranzato
2. Samy Bengio
3. John Schulman
4. Geoffrey E. Hinton
5. Paul Christiano
6. Oriol Vinyals
7. Long Ouyang
8. Ari Holtzman
9. Tom B. Brown
10. Yoshua Bengio

Papers from Benjamin Steenhoek's perspective

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

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

Their papers

• Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation (2023) — 51 citations