Patrick M. Haluptzok

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Large Language Models — 9 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Natural Language Processing — 6 citations into it

Whom Patrick M. Haluptzok trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Ilya Sutskever
4. Jimmy Ba
5. Ilya Loshchilov
6. Yoshua Bengio
7. Alex Krizhevsky
8. Timo Schick
9. Oriol Vinyals
10. Stanislas Polu

Who trusts Patrick M. Haluptzok overall

1. Aman Madaan

Papers from Patrick M. Haluptzok's perspective

Ordered by how strongly the researchers Patrick M. Haluptzok 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. ImageNet classification with deep convolutional neural networks
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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Learning Multiple Layers of Features from Tiny Images
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Language Models Can Teach Themselves to Program Better (2022) — 103 citations