Kaixiang Mo

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it
• Natural Language Processing — 21 citations into it
• Reinforcement Learning — 8 citations into it

Whom Kaixiang Mo trusts overall

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

1. Ronald J. Williams
2. L. Eon Bottou
3. Milica Gasic
4. Richard Bellman
5. Jason Williams
6. Aude Genevay
7. Sinno Jialin Pan
8. Yoshua Bengio
9. Geoffrey E. Hinton
10. Iñigo Casanueva

Who trusts Kaixiang Mo overall

1. Hongshen Chen
2. Iulian Serban
3. Xiaorui Liu

Papers from Kaixiang Mo's perspective

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

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Attention is All you Need (Neural Information Processing Systems)
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. ImageNet: A large-scale hierarchical image database
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

• Personalizing a Dialogue System With Transfer Reinforcement Learning (2016) — 97 citations
• Fine Grained Knowledge Transfer for Personalized Task-oriented Dialogue Systems (2017) — 15 citations