Roland Fernandez

Natural Language Processing · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 12 citations into it
• Model Architectures — 9 citations into it

Whom Roland Fernandez trusts overall

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

1. J. Urgen Schmidhuber
2. Paul Smolensky
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Xavier Glorot

Papers from Roland Fernandez's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Understanding the difficulty of training deep feedforward neural networks

Their papers

• Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving (2019) — 59 citations