Romaric Gaudel

Artificial Intelligence · 2010

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Reinforcement Learning — 5 citations into it

Whom Romaric Gaudel trusts overall

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

1. Peter Auer
2. Tong Zhang
3. Robert Tibshirani
4. Leo Breiman
5. Francis R. Bach
6. Dimitris Margaritis
7. Levente Kocsis
8. Manik Varma
9. Sylvain Gelly
10. Ryuichi Oka

Who trusts Romaric Gaudel overall

1. Marc-André Zöller
2. Quanming Yao
3. Marco F. Huber
4. Robin Allesiardo
5. Mengshuo Wang

Papers from Romaric Gaudel's perspective

Ordered by how strongly the researchers Romaric Gaudel 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Feature Selection as a One-Player Game (2010) — 118 citations