Bálint Gyires-Tóth

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Natural Language Processing — 14 citations into it
• Model Architectures — 9 citations into it

Whom Bálint Gyires-Tóth trusts overall

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

1. Diederik P. Kingma
2. Alex Graves
3. Yann LeCun
4. Sergey Ioffe
5. Richard Sproat
6. Geoffrey E. Hinton
7. Christian Szegedy
8. Yoshua Bengio
9. Ilya Sutskever
10. Junbo Jake Zhao

Papers from Bálint Gyires-Tóth's perspective

Ordered by how strongly the researchers Bálint Gyires-Tóth trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Going deeper with convolutions
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Gradient-based learning applied to document recognition
10. ImageNet: A large-scale hierarchical image database

Their papers

• Text normalization with convolutional neural networks (2018) — 20 citations