Yuki Markus Asano

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 70 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Computer Vision and Pattern Recognition — 20 citations into it
• Efficiency & Compression — 8 citations into it
• Large Language Models — 8 citations into it

Whom Yuki Markus Asano trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Andrew Zisserman
6. Jia Deng
7. Diederik P. Kingma
8. Ilya Sutskever
9. Yann LeCun
10. Alec Radford

Papers from Yuki Markus Asano's perspective

Ordered by how strongly the researchers Yuki Markus Asano 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. ImageNet: A large-scale hierarchical image database
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Gradient-based learning applied to document recognition
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• VeRA: Vector-based Random Matrix Adaptation (2023) — 345 citations