Takashi Wada

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Natural Language Processing — 13 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Takashi Wada trusts overall

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

1. Mikel Artetxe
2. Tomas Mikolov
3. L. Eon Bottou
4. Philipp Koehn
5. Sepp Hochreiter
6. Mike Schuster
7. Yoshua Bengio
8. Gorka Labaka
9. Individualized Treat
10. Geoffrey E. Hinton

Who trusts Takashi Wada overall

1. Guillaume Lample

Papers from Takashi Wada's perspective

Ordered by how strongly the researchers Takashi Wada 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Unsupervised Cross-lingual Word Embedding by Multilingual Neural Language Models (2018) — 28 citations