Songbai Pu
Artificial Intelligence · 2017
A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 16 citations into it; #25,226 of 35,345 by trust here, #27,551 by citations
- Signal Processing — 12 citations into it; #5,272 of 7,572 by trust here, #5,570 by citations
- Model Architectures — 11 citations into it; #1,659 of 2,278 by trust here, #2,037 by citations
- Speech & Audio — 10 citations into it; #774 of 1,076 by trust here, #941 by citations
- Natural Language Processing — 8 citations into it
Whom Songbai Pu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- Yann LeCun
- Dong Yu
- J. Urgen Schmidhuber
- Geoffrey E. Hinton
- Yoshua Bengio
- Sepp Hochreiter
- Lawrence R. Rabiner
- Karen Simonyan
- Sergey Ioffe
Who trusts Songbai Pu overall
Papers from Songbai Pu's perspective
Ordered by how strongly the researchers Songbai Pu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Residual Convolutional CTC Networks for Automatic Speech Recognition (2017) — 90 citations