Robert V. Lindsey

Artificial Intelligence · 2013–2018

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Model Architectures — 8 citations into it

Whom Robert V. Lindsey trusts overall

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

1. Alexander I. J. Forrester
2. M. Masson
3. Yoshua Bengio
4. Andy J. Keane
5. Sepp Hochreiter
6. Geoffrey E. Hinton
7. John J. Hopfield
8. Alex Graves
9. Jeffrey Pennington
10. J. Urgen Schmidhuber

Who trusts Robert V. Lindsey overall

1. Xiaojin Zhu
2. Adish Kumar Singla

Papers from Robert V. Lindsey's perspective

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

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. GloVe: Global Vectors for Word Representation
9. ImageNet: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• State-Denoised Recurrent Neural Networks (2018) — 8 citations
• Optimizing Instructional Policies (2013) — 36 citations