G. Hautbergue

Artificial Intelligence · 2020

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

• Artificial Intelligence — 20 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom G. Hautbergue trusts

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

1. Radford M. Neal (in Computer Vision and Pattern Recognition)
2. Yuhai Wu (in Artificial Intelligence)

Papers from G. Hautbergue's perspective

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

1. 5分で分かる!? 有名論文ナナメ読み：Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
2. Pattern Recognition and Machine Learning
3. Deep Learning
4. Statistical Learning Theory
5. Support-Vector Networks
6. Generative Adversarial Nets (Neural Information Processing Systems)
7. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
8. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.
9. Learning from delayed rewards
10. Deep reinforcement learning for de novo drug design

Their papers

• Applications of machine learning to diagnosis and treatment of neurodegenerative diseases (2020) — 450 citations