Tao-Yang Fu
Artificial Intelligence · 2017
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it; #31,631 of 35,345 by trust here, #28,481 by citations
- Graph Learning — 6 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Tao-Yang Fu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Aditya Grover
- Jian Tang
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Ilya Sutskever
- Jure Leskovec
- Tomas Mikolov
- Meng Qu
- Diederik P. Kingma
Who trusts Tao-Yang Fu overall
Papers from Tao-Yang Fu's perspective
Ordered by how strongly the researchers Tao-Yang Fu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)