Ryan Eloff

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 102 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 52 citations into it; #21,402 of 35,345 by trust here, #21,316 by citations
• Computer Vision and Pattern Recognition — 29 citations into it
• Representation & Self-Supervised Learning — 27 citations into it
• Signal Processing — 24 citations into it; #4,388 of 7,572 by trust here, #3,913 by citations
• Multimodal Learning — 8 citations into it; #754 of 1,211 by trust here, #1,198 by citations

Whom Ryan Eloff trusts overall

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

1. Diederik P. Kingma
2. Yann LeCun
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Ruslan Salakhutdinov
6. Oriol Vinyals
7. Alex Krizhevsky
8. Brenden M. Lake
9. Ilya Sutskever
10. Jimmy Ba

Who trusts Ryan Eloff overall

1. David F. Harwath
2. Wei-Ning Hsu
3. Alexei Baevski
4. James R. Glass
5. Andros Tjandra
6. Benjamin van Niekerk
7. Abdel-rahman Mohamed
8. Patrick Lumban Tobing
9. Adam Polyak
10. Ankur Bapna

Papers from Ryan Eloff's perspective

Ordered by how strongly the researchers Ryan Eloff 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Unsupervised acoustic unit discovery for speech synthesis using discrete latent-variable neural networks (2019) — 59 citations
• Multimodal One-shot Learning of Speech and Images (2018) — 36 citations