Alix Lacoste

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 Alix Lacoste trusts overall

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

1. Radford M. Neal
2. Yuhai Wu

Papers from Alix Lacoste's perspective

Ordered by how strongly the researchers Alix Lacoste 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. Deep Learning
3. Pattern Recognition and Machine Learning
4. Support-Vector Networks
5. Statistical Learning Theory
6. Generative Adversarial Nets (Neural Information Processing Systems)
7. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
8. Learning from delayed rewards
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. ImageNet classification with deep convolutional neural networks

Their papers

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