Joseph Longworth

Optimization & Training · 2015

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 6 citations into it

Whom Joseph Longworth trusts overall

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

1. Jorge Nocedal
2. Jasper Snoek
3. Carl E. Rasmussen
4. Yee Whye Teh
5. James Bergstra
6. Kevin Swersky
7. Michael A. Osborne
8. Roman Garnett
9. Yoshua Bengio
10. Mauricio A Álvarez

Who trusts Joseph Longworth overall

1. Kirthevasan Kandasamy
2. Jeff Schneider
3. Jungtaek Kim

Papers from Joseph Longworth's perspective

Ordered by how strongly the researchers Joseph Longworth 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. Gradient-based learning applied to document recognition
4. Learning Multiple Layers of Features from Tiny Images
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Practical Bayesian Optimization of Machine Learning Algorithms
8. ImageNet: A large-scale hierarchical image database
9. Long Short-Term Memory
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Bayesian Optimization for Synthetic Gene Design (2015) — 85 citations