Yik-Cheung Tam

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 96 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it; #16,709 of 35,345 by trust here, #32,362 by citations
• Natural Language Processing — 29 citations into it; #2,949 of 5,688 by trust here, #5,412 by citations
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Yik-Cheung Tam trusts overall

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

1. Diederik P. Kingma
2. Oriol Vinyals
3. Kenneth Heafield
4. Yoshua Bengio
5. Jiwei Li
6. Geoffrey E. Hinton
7. Jimmy Ba
8. Quoc V. Le
9. Ilya Sutskever
10. Alex Krizhevsky

Who trusts Yik-Cheung Tam overall

1. Li Dong
2. Nan Yang
3. Daphne Ippolito
4. Hugh Zhang
5. Wenhui Wang

Papers from Yik-Cheung Tam's perspective

Ordered by how strongly the researchers Yik-Cheung Tam 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. Sequence to Sequence Learning with Neural Networks (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

• Cluster-based beam search for pointer-generator chatbot grounded by knowledge (2020) — 42 citations