Jocelyn Huang

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it; #26,966 of 35,345 by trust here, #18,186 by citations
• Computer Vision and Pattern Recognition — 14 citations into it
• Natural Language Processing — 14 citations into it
• Model Architectures — 8 citations into it; #2,195 of 2,278 by trust here, #1,976 by citations

Whom Jocelyn Huang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Graves
2. Geoffrey E. Hinton

Who trusts Jocelyn Huang overall

1. Stanislav Beliaev

Papers from Jocelyn Huang's perspective

Ordered by how strongly the researchers Jocelyn Huang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Layer Normalization
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. ImageNet Large Scale Visual Recognition Challenge
10. ImageNet: A large-scale hierarchical image database

Their papers

• NeMo: a toolkit for building AI applications using Neural Modules (2019) — 411 citations
• Quartznet: Deep Automatic Speech Recognition with 1D Time-Channel Separable Convolutions (2019) — 328 citations