Kelly Shi

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it
• Multimodal Learning — 10 citations into it

Whom Kelly Shi trusts overall

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

1. Amir Zadeh
2. Louis-philippe Morency
3. Percy Liang
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Sepp Hochreiter
7. Diederik P. Kingma
8. Alex Krizhevsky
9. Ilya Sutskever
10. J. Urgen Schmidhuber

Papers from Kelly Shi's perspective

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

1. Long Short-Term Memory
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Factorized Multimodal Transformer for Multimodal Sequential Learning (2019) — 51 citations