Vysoké Učení

Natural Language Processing · 2012

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 60 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 25 citations into it; #891 of 5,688 by trust here, #1,583 by citations
• Artificial Intelligence — 18 citations into it
• Large Language Models — 8 citations into it; #96 of 799 by trust here, #428 by citations
• Model Architectures — 7 citations into it

Whom Vysoké Učení trusts overall

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

1. Joshua Goodman
2. Jeffrey L. Elman
3. Andreas Stolcke
4. Stanley F. Chen
5. Yoshua Bengio
6. R. Rosenfeld
7. Geoffrey E. Hinton
8. Andriy Mnih
9. Tomas Mikolov
10. Slava M. Katz

Who trusts Vysoké Učení overall

1. Yoshua Bengio
2. Tomas Mikolov
3. Li Deng
4. Razvan Pascanu
5. Kyunghyun Cho
6. Yoav Goldberg
7. Quoc V. Le
8. Armand Joulin
9. Ilya Sutskever
10. Oriol Vinyals

Papers from Vysoké Učení's perspective

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

Their papers

• Statistical Language Models Based on Neural Networks (2012) — 660 citations