Tsz Kin Lam

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Natural Language Processing — 12 citations into it
• Reinforcement Learning — 10 citations into it

Whom Tsz Kin Lam trusts overall

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

1. Richard S. Sutton
2. Ronald J. Williams
3. Diederik P. Kingma
4. Maja Popovic
5. Dzmitry Bahdanau
6. Julia Kreutzer
7. Artem Sokolov
8. Yoshua Bengio
9. Vijay R. Konda
10. Geoffrey E. Hinton

Who trusts Tsz Kin Lam overall

1. Yann Dubois
2. Julia Kreutzer

Papers from Tsz Kin Lam's perspective

Ordered by how strongly the researchers Tsz Kin Lam trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A Reinforcement Learning Approach to Interactive-Predictive Neural Machine Translation (2018) — 33 citations