Miikka Silfverberg

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 27 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it; #30,724 of 35,345 by trust here, #25,809 by citations
• Natural Language Processing — 33 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it; #19,175 of 21,575 by trust here, #18,266 by citations
• Model Architectures — 8 citations into it

Whom Miikka Silfverberg trusts overall

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

1. Yann LeCun
2. Alex Krizhevsky
3. Dzmitry Bahdanau
4. Yoshua Bengio
5. Geoffrey E. Hinton
6. Kyunghyun Cho
7. Ilya Sutskever
8. Rico Sennrich
9. Diederik P. Kingma
10. Karen Simonyan

Who trusts Miikka Silfverberg overall

1. Jason Wei
2. Rongzhi Zhang
3. Xiang Yu
4. Ruibo Liu
5. Kai Zou
6. Sosuke Kobayashi
7. Yue Yu
8. Ngoc Thang Vu

Papers from Miikka Silfverberg's perspective

Ordered by how strongly the researchers Miikka Silfverberg 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. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Are Multilingual Neural Machine Translation Models Better at Capturing Linguistic Features? (2020) — 10 citations
• SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection (2020) — 90 citations
• Data Augmentation for Morphological Reinflection (2017) — 76 citations