Reinald Kim Amplayo

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 3 papers; trusts 133 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 78 citations into it; #16,097 of 35,345 by trust here, #26,682 by citations
• Natural Language Processing — 72 citations into it; #3,914 of 5,688 by trust here, #5,502 by citations
• Evaluation & Benchmarks — 29 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it
• Model Architectures — 7 citations into it
• Information Systems — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Reinald Kim Amplayo trusts overall

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

1. Chin-Yew Lin
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Ilya Sutskever
5. Alex Krizhevsky
6. Diederik P. Kingma
7. Richard Socher
8. Oriol Vinyals
9. Yann LeCun
10. Alex Graves

Who trusts Reinald Kim Amplayo overall

1. Sebastian Gehrmann
2. Yen-Chun Chen
3. Elizabeth Clark
4. Zhe Gan
5. Yuheng Zha
6. Thibault Sellam
7. Yu Cheng
8. Jingjing Liu
9. Yichi Yang

Papers from Reinald Kim Amplayo's perspective

Ordered by how strongly the researchers Reinald Kim Amplayo 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. Gradient-based learning applied to document recognition
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Entity Commonsense Representation for Neural Abstractive Summarization (2018) — 36 citations
• SMART: Sentences as Basic Units for Text Evaluation (2022) — 27 citations
• Aspect-Controllable Opinion Summarization (2021) — 84 citations