Nigel H. Goddard

AAAI Conference on Artificial Intelligence · 2014–2016

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

Whom Nigel H. Goddard trusts overall

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

1. J. Kolter

Papers from Nigel H. Goddard's perspective

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

1. WaveNet: A Generative Model for Raw Audio
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Attention is All you Need (Neural Information Processing Systems)
7. In Advances in Neural Information Processing Systems
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Sequence-to-point learning with neural networks for nonintrusive load monitoring (2016) — 612 citations
• Advances in Neural Information Processing Systems 27 (NIPS 2014) (2014) — 18 citations