Taichi Iki

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 95 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it
• Natural Language Processing — 16 citations into it
• Multimodal Learning — 13 citations into it
• Evaluation & Benchmarks — 10 citations into it

Whom Taichi Iki trusts overall

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

1. Shaoqing Ren
2. Kaiming He
3. Richard Socher
4. Jacob Devlin
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Ross B. Girshick
8. Alex Krizhevsky
9. Diederik P. Kingma
10. Ilya Sutskever

Papers from Taichi Iki's perspective

Ordered by how strongly the researchers Taichi Iki 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. ImageNet: A large-scale hierarchical image database
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. Gradient-based learning applied to document recognition
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Effect of Vision-and-Language Extensions on Natural Language Understanding in Vision-and-Language Models (2021) — 6 citations