Basile Dura

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 15 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 — 11 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it

Whom Basile Dura trusts overall

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

1. Christopher K. I. Williams
2. Geoffrey E. Hinton
3. Andrew Gordon Wilson
4. Yoshua Bengio
5. Diederik P. Kingma
6. Gregory R. Koch
7. Alex Krizhevsky
8. Ruslan Salakhutdinov
9. Josh Tenenbaum
10. Yann LeCun

Who trusts Basile Dura overall

1. Jake Snell
2. Timothy M. Hospedales

Papers from Basile Dura's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Adaptive Deep Kernel Learning (2019) — 31 citations