Kristy Choi

Computer Vision and Pattern Recognition · with Dinculescu · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it; #16,373 of 21,575 by trust here, #19,766 by citations
• Generative Models — 17 citations into it; #1,533 of 1,956 by trust here, #1,875 by citations
• Artificial Intelligence — 11 citations into it
• Signal Processing — 9 citations into it; #5,622 of 7,572 by trust here, #6,591 by citations
• Model Architectures — 5 citations into it

Whom Kristy Choi trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Pascal Vincent
4. Ashish Vaswani
5. Diederik P. Kingma
6. Lukasz Kaiser
7. Cheng-Zhi Anna Huang
8. Ilya Sutskever
9. Oriol Vinyals
10. Ruslan Salakhutdinov

Who trusts Kristy Choi overall

1. Yu-Siang Huang
2. Yi-Hsuan Yang
3. Gautam Mittal
4. Jack Weston
5. Derya Soydaner
6. Jesse Engel

Papers from Kristy Choi's perspective

Ordered by how strongly the researchers Kristy Choi 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. GENERATIVE ADVERSARIAL NETS
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Encoding Musical Style with Transformer Autoencoders (2019) — 104 citations