Huyen Nguyen
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 4 papers; trusts 31 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 75 citations into it; #24,704 of 35,345 by trust here, #12,761 by citations
- Natural Language Processing — 41 citations into it; #4,515 of 5,688 by trust here, #3,332 by citations
- Computer Vision and Pattern Recognition — 37 citations into it
- Optimization & Training — 33 citations into it
- Signal Processing — 21 citations into it
- Speech & Audio — 14 citations into it; #1,069 of 1,076 by trust here, #738 by citations
- Evaluation & Benchmarks — 6 citations into it
- Computational Mechanics — 5 citations into it
Whom Huyen Nguyen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Loshchilov
- Alex Graves
- Ilya Sutskever
- Alex Krizhevsky
- Kaiming He
- Ashish Vaswani
- Jimmy Ba
Who trusts Huyen Nguyen overall
Papers from Huyen Nguyen's perspective
Ordered by how strongly the researchers Huyen Nguyen trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Layer Normalization
Their papers
- Jasper: An End-to-End Convolutional Neural Acoustic Model (2019) — 288 citations
- NeMo: a toolkit for building AI applications using Neural Modules (2019) — 411 citations
- Mixed-Precision Training for NLP and Speech Recognition with OpenSeq2Seq (2018) — 52 citations
- Stochastic Gradient Methods with Layer-wise Adaptive Moments for Training of Deep Networks (2019) — 108 citations