Canasai Kruengkrai

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 46 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Natural Language Processing — 23 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Canasai Kruengkrai trusts overall

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

1. Geoffrey E. Hinton
2. R. Caruana
3. Yixin Nie
4. Noam Shazeer
5. Sebastian Ruder
6. Yoshua Bengio
7. Alex Krizhevsky
8. Ilya Sutskever
9. Ashish Vaswani
10. Diederik P. Kingma

Papers from Canasai Kruengkrai's perspective

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

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

Their papers

• A Multi-Level Attention Model for Evidence-Based Fact Checking (2021) — 29 citations