Jonathan Hseu

Optimization & Training · 2019

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 49 citations into it
• Artificial Intelligence — 45 citations into it
• Computer Vision and Pattern Recognition — 28 citations into it

Whom Jonathan Hseu trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Yang You
7. Ilya Sutskever
8. Ross B. Girshick
9. Jacob Devlin
10. Jimmy Ba

Who trusts Jonathan Hseu overall

1. Yiming Cui

Papers from Jonathan Hseu's perspective

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

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

Their papers

• Large Batch Optimization for Deep Learning: Training BERT in 76 minutes (2019) — 1,222 citations
• Reducing BERT Pre-Training Time from 3 Days to 76 Minutes (2019) — 126 citations