Richard Billingsley

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #31,683 of 35,345 by trust here, #27,551 by citations
• Natural Language Processing — 15 citations into it
• Information Systems — 6 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it

Whom Richard Billingsley trusts overall

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

1. David M. Blei
2. Geoffrey E. Hinton
3. Ruslan Salakhutdinov
4. Michael I. Jordan
5. Yoshua Bengio
6. Ilya Sutskever
7. Radford M. Neal
8. Tomas Mikolov
9. Nitish Srivastava
10. T. Griffiths

Who trusts Richard Billingsley overall

1. Maarten Grootendorst
2. Adji Bousso Dieng
3. Jipeng Qiang
4. Chenliang Li

Papers from Richard Billingsley's perspective

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

Their papers

• Improving Topic Models with Latent Feature Word Representations (2015) — 358 citations