Hai Pham
Artificial Intelligence · 2018–2021
A researcher in the Science corpus: 2 papers; trusts 64 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 59 citations into it
- Natural Language Processing — 43 citations into it
- Computer Vision and Pattern Recognition — 39 citations into it
- Multimodal Learning — 11 citations into it
- Model Architectures — 10 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
- Experimental and Cognitive Psychology — 7 citations into it
Whom Hai Pham trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Ilya Sutskever
- Diederik P. Kingma
- Yoshua Bengio
- Ruslan Salakhutdinov
- Alex Krizhevsky
- Nitish Srivastava
- Yann LeCun
- Oriol Vinyals
- Alex Graves
Who trusts Hai Pham overall
Papers from Hai Pham's perspective
Ordered by how strongly the researchers Hai Pham 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
- 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
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)