Bayu Distiawan Trisedya

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 71 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it; #23,417 of 35,345 by trust here, #19,439 by citations
• Natural Language Processing — 22 citations into it; #3,930 of 5,688 by trust here, #4,361 by citations
• Evaluation & Benchmarks — 8 citations into it
• Management Science and Operations Research — 8 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Bayu Distiawan Trisedya trusts overall

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

1. Diederik P. Kingma
2. Richard Socher
3. Yoshua Bengio
4. Dekang Lin
5. Geoffrey E. Hinton
6. Christopher D. Manning
7. Kyunghyun Cho
8. Dzmitry Bahdanau
9. Antoine Bordes
10. Ilya Sutskever

Who trusts Bayu Distiawan Trisedya overall

1. Leonardo F. R. Ribeiro
2. Chao Zhao
3. Zequn Sun
4. Jianzhong Qi
5. Marilyn A. Walker
6. Martin Schmitt
7. Chengming Wang
8. Yanyan Zou
9. Anastasia Shimorina

Papers from Bayu Distiawan Trisedya's perspective

Ordered by how strongly the researchers Bayu Distiawan Trisedya 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

• GTR-LSTM: A Triple Encoder for Sentence Generation from RDF Data (2018) — 91 citations
• Entity Alignment between Knowledge Graphs Using Attribute Embeddings (2019) — 332 citations