Kwan Hui Lim

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Natural Language Processing — 32 citations into it
• Representation & Self-Supervised Learning — 17 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Evaluation & Benchmarks — 9 citations into it

Whom Kwan Hui Lim trusts overall

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

1. Eneko Agirre
2. Geoffrey E. Hinton
3. Richard Socher
4. Yoshua Bengio
5. Daniel Matthew Cer
6. Diederik P. Kingma
7. Aapo Hyvärinen
8. Quoc V. Le
9. Tomas Mikolov
10. Ilya Sutskever

Papers from Kwan Hui Lim's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• An Unsupervised Sentence Embedding Method by Mutual Information Maximization (2020) — 197 citations