Jörgen Valk

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it; #27,202 of 35,345 by trust here, #28,481 by citations
• Speech & Audio — 16 citations into it; #865 of 1,076 by trust here, #960 by citations
• Signal Processing — 10 citations into it; #5,781 of 7,572 by trust here, #5,829 by citations
• Evaluation & Benchmarks — 6 citations into it; #2,441 of 3,147 by trust here, #2,903 by citations

Whom Jörgen Valk trusts overall

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

1. David Snyder
2. Kaiming He
3. Luis Javier Rodriguez-Fuentes
4. Daniel Povey
5. Suwon Shon
6. Ahmed M. Ali
7. Weicheng Cai
8. X. Zhang
9. Geoffrey E. Hinton
10. Daniel Garcia-Romero

Who trusts Jörgen Valk overall

1. Alexis Conneau
2. Alec Radford
3. Zhehuai Chen
4. Arun Babu
5. Yu Zhang
6. Vineel Pratap
7. Andros Tjandra
8. Ankur Bapna
9. Jong Wook Kim
10. Changhan Wang

Papers from Jörgen Valk's perspective

Ordered by how strongly the researchers Jörgen Valk 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. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• VOXLINGUA107: A Dataset for Spoken Language Recognition (2020) — 234 citations