Heinrich Kuttler

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 46 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 132 citations into it
• Natural Language Processing — 80 citations into it
• Computer Vision and Pattern Recognition — 66 citations into it

Whom Heinrich Kuttler trusts overall

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

1. Geoffrey E. Hinton
2. Sepp Hochreiter
3. Diederik P. Kingma
4. Yoshua Bengio
5. Oriol Vinyals
6. J. Urgen Schmidhuber
7. Nantas Nardelli
8. Alex Krizhevsky
9. Richard S. Sutton
10. Tim Salimans

Who trusts Heinrich Kuttler overall

1. Sam Powers
2. Mohit Shridhar
3. Tianjun Zhang
4. Akari Asai
5. Linxi (Jim) Fan

Papers from Heinrich Kuttler's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
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. 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. ImageNet Large Scale Visual Recognition Challenge
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them (2021) — 275 citations
• The NetHack Learning Environment (2020) — 233 citations
• Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks (2020) — 16,110 citations