Fajri Koto

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 59 citations into it
• Natural Language Processing — 39 citations into it
• Evaluation & Benchmarks — 27 citations into it
• Large Language Models — 23 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it

Whom Fajri Koto trusts overall

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

1. Christopher D. Manning
2. Guillaume Lample
3. Chin-Yew Lin
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. D. Kondratyuk
7. Diederik P. Kingma
8. Ilya Sutskever
9. Mirella Lapata
10. Jacob Devlin

Papers from Fajri Koto's perspective

Ordered by how strongly the researchers Fajri Koto 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Gradient-based learning applied to document recognition
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• CMMLU: Measuring massive multitask language understanding in Chinese (2023) — 512 citations
• IndoLEM and IndoBERT: A Benchmark Dataset and Pre-trained Language Model for Indonesian NLP (2020) — 448 citations