Vu Tuan Dat Pham
Artificial Intelligence · 2013
A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 53 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 11 citations into it; #4,743 of 35,345 by trust here, #10,667 by citations
- Computer Vision and Pattern Recognition — 10 citations into it; #4,226 of 21,575 by trust here, #7,499 by citations
- Model Architectures — 7 citations into it; #440 of 2,278 by trust here, #1,059 by citations
Whom Vu Tuan Dat Pham trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- J. Urgen Schmidhuber
- Urs-Viktor Marti
- Geoffrey E. Hinton
- Yoshua Bengio
- Sepp Hochreiter
- Li Deng
- Alex Krizhevsky
- Yann LeCun
- Ian J. Goodfellow
Who trusts Vu Tuan Dat Pham overall
- Yoav Goldberg
- Yarin Gal
- Shubham Toshniwal
- Graham Neubig
- Yunseok Jang
- Timothy Baldwin
- Wojciech Zaremba
- Ilya Sutskever
- Minh-Thang Luong
- Linchao Zhu
Papers from Vu Tuan Dat Pham's perspective
Ordered by how strongly the researchers Vu Tuan Dat Pham 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)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Dropout Improves Recurrent Neural Networks for Handwriting Recognition (2013) — 587 citations