Balázs Bánfai

Clinical pharmacology and therapy · 2020

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

Whom Balázs Bánfai trusts overall

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

1. Yoshua Bengio
2. Trevor J. Hastie
3. Erik Strumbelj
4. Geoffrey E. Hinton
5. Leo Breiman

Papers from Balázs Bánfai's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
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. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• An Introduction to Machine Learning (2020) — 324 citations