Hsuan-Tung Peng

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Natural Language Processing — 12 citations into it
• Safety, Robustness & Interpretability — 12 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Hsuan-Tung Peng trusts overall

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

1. Tomas Mikolov
2. Richard Socher
3. Geoffrey E. Hinton
4. Ilya Sutskever
5. Yoshua Bengio
6. Ian J. Goodfellow
7. Diederik P. Kingma
8. Alex Krizhevsky
9. Yann LeCun
10. Christian Szegedy

Papers from Hsuan-Tung Peng's perspective

Ordered by how strongly the researchers Hsuan-Tung Peng 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. Long Short-Term Memory
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. GENERATIVE ADVERSARIAL NETS
8. ImageNet: A large-scale hierarchical image database
9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Universal Adversarial Attacks with Natural Triggers for Text Classification (2020) — 88 citations