Yuntao Liu
Artificial Intelligence · 2017
A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 17 citations into it; #16,898 of 35,345 by trust here, #18,186 by citations
- Safety, Robustness & Interpretability — 11 citations into it; #1,121 of 2,251 by trust here, #1,569 by citations
- Computer Vision and Pattern Recognition — 6 citations into it
- Computer Networks and Communications — 5 citations into it
Whom Yuntao Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yann LeCun
- Ian J. Goodfellow
- Individualized Treat
- David E. Rumelhart
- Alex Krizhevsky
- Yoshua Bengio
- Nitish Srivastava
- Christian Szegedy
- Ilya Sutskever
Who trusts Yuntao Liu overall
- Eugene Bagdasarian
- Kang Liu
- Yiming Li
- Wenbo Guo
- Yansong Gao
- Yingqi Liu
- Lingjuan Lyu
- Vitaly Shmatikov
- Brendan Dolan-Gavitt
- Baoyuan Wu
Papers from Yuntao Liu's perspective
Ordered by how strongly the researchers Yuntao Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- GENERATIVE ADVERSARIAL NETS
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Neural Trojans (2017) — 405 citations