Martin Tutek

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 43 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it; #24,576 of 35,345 by trust here, #34,943 by citations
• Natural Language Processing — 8 citations into it
• Safety, Robustness & Interpretability — 7 citations into it; #1,606 of 2,251 by trust here, #2,250 by citations
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Martin Tutek trusts overall

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

1. Sepp Hochreiter
2. Richard Socher
3. Dzmitry Bahdanau
4. Yoshua Bengio
5. Sarthak Jain
6. J. Urgen Schmidhuber
7. Sarah Wiegreffe
8. Jacob Devlin
9. Geoffrey E. Hinton
10. Ashish Vaswani

Who trusts Martin Tutek overall

1. Sarah Wiegreffe
2. Ana Marasovic
3. Noah A. Smith

Papers from Martin Tutek's perspective

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

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

Their papers

• Staying True to Your Word: (How) Can Attention Become Explanation? (2020) — 31 citations