Feilong Bao
Artificial Intelligence · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 44 citations into it; #34,196 of 35,345 by trust here, #25,809 by citations
- Signal Processing — 26 citations into it
- Speech & Audio — 21 citations into it
- Natural Language Processing — 10 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Generative Models — 9 citations into it
Whom Feilong Bao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- R. Caruana
- Daniel W. Griffin
- Geoffrey E. Hinton
- Yuxuan Wang
- Alex Krizhevsky
- Ilya Sutskever
- Yoshua Bengio
- Diederik P. Kingma
- Yu-An Chung
- Alex Graves
Who trusts Feilong Bao overall
Papers from Feilong Bao's perspective
Ordered by how strongly the researchers Feilong Bao 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
Their papers
- Modeling Prosodic Phrasing With Multi-Task Learning in Tacotron-Based TTS (2020) — 22 citations
- Teacher-Student Training For Robust Tacotron-Based TTS (2019) — 40 citations