Schrasing Tong

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it; #30,731 of 35,345 by trust here, #21,316 by citations
• Natural Language Processing — 23 citations into it
• Signal Processing — 17 citations into it
• Representation & Self-Supervised Learning — 16 citations into it; #2,831 of 3,145 by trust here, #2,404 by citations
• Speech & Audio — 15 citations into it; #938 of 1,076 by trust here, #783 by citations

Whom Schrasing Tong trusts overall

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

1. Ilya Sutskever
2. Tomas Mikolov
3. Herman Kamper
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Mikel Artetxe
7. Alex Graves
8. Diederik P. Kingma
9. Kyunghyun Cho
10. Oriol Vinyals

Who trusts Schrasing Tong overall

1. Hung-yi Lee
2. Lin-Shan Lee

Papers from Schrasing Tong's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. GENERATIVE ADVERSARIAL NETS
10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers

• Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces (2018) — 108 citations