Jean-Philippe Bernardy

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it; #25,915 of 35,345 by trust here, #34,213 by citations
• Natural Language Processing — 9 citations into it
• Model Architectures — 7 citations into it; #1,694 of 2,278 by trust here, #2,243 by citations

Whom Jean-Philippe Bernardy trusts overall

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

1. Diederik P. Kingma
2. Tal Linzen
3. Gail Weiss
4. Jimmy Ba
5. Yoav Goldberg
6. J. Urgen Schmidhuber
7. Jeffrey L. Elman
8. Geoffrey E. Hinton
9. Sepp Hochreiter
10. Yoshua Bengio

Who trusts Jean-Philippe Bernardy overall

1. Yonatan Belinkov
2. Michael Hahn

Papers from Jean-Philippe Bernardy's perspective

Ordered by how strongly the researchers Jean-Philippe Bernardy trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Can Recurrent Neural Networks Learn Nested Recursion? (2018) — 28 citations