Tet Hin Yeap

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #29,069 of 35,345 by trust here, #34,943 by citations
• Natural Language Processing — 6 citations into it

Whom Tet Hin Yeap trusts overall

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

1. Thomas Hofmann
2. Peter D. Turney
3. Steven Bird
4. Sanjoy Dasgupta
5. Noam Slonim
6. Xuerui Wang
7. Liangjie Hong
8. William B. Johnson
9. Radim Rehurek
10. David M. Blei

Who trusts Tet Hin Yeap overall

1. Roman Egger

Papers from Tet Hin Yeap's perspective

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

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

Their papers

• Using Topic Modeling Methods for Short-Text Data: A Comparative Analysis (2020) — 337 citations