Christopher Song

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 190 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 77 citations into it
• Computer Vision and Pattern Recognition — 46 citations into it; #18,904 of 21,575 by trust here, #19,766 by citations
• Signal Processing — 42 citations into it
• Speech & Audio — 38 citations into it
• Natural Language Processing — 31 citations into it
• Multimodal Learning — 24 citations into it
• Representation & Self-Supervised Learning — 20 citations into it
• Generative Models — 12 citations into it

Whom Christopher Song trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Wei-Ning Hsu
5. Kaiming He
6. Alex Krizhevsky
7. Alex Graves
8. Ilya Sutskever
9. Jimmy Ba
10. David F. Harwath

Who trusts Christopher Song overall

1. Puyuan Peng

Papers from Christopher Song's perspective

Ordered by how strongly the researchers Christopher Song 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. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (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

• Text-Free Image-to-Speech Synthesis Using Learned Segmental Units (2020) — 75 citations