William T. Heller

Optimization & Training · 2014–2017

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 6 citations into it

Whom William T. Heller trusts overall

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

1. Yoshua Bengio
2. James Bergstra

Papers from William T. Heller's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Going deeper with convolutions
3. ImageNet Large Scale Visual Recognition Challenge
4. ImageNet classification with deep convolutional neural networks
5. Et al
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Common processes drive the thermochemical pretreatment of lignocellulosic biomass (2014) — 196 citations
• Evolving Deep Networks Using HPC (2017) — 45 citations