Gaëlle Loosli

Computer Vision and Pattern Recognition · 2005–2018

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it
• Generative Models — 5 citations into it

Whom Gaëlle Loosli trusts overall

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

1. Yann LeCun
2. Patrice Y. Simard
3. L. Eon Bottou
4. Antoine Bordes
5. Yoshua Bengio
6. Geoffrey E. Hinton
7. Kunihiko Fukushima
8. Pascal Vincent
9. Vladimir Naumovich Vapnik
10. Jason Aaron Edward Weston

Who trusts Gaëlle Loosli overall

1. Yoshua Bengio
2. Bo Dai
3. Alberto Bietti
4. Dumitru Erhan
5. Cong Xie
6. Alec Radford
7. Andras Rozsa
8. Julien Mairal
9. Niao He
10. Aaron C. Courville

Papers from Gaëlle Loosli's perspective

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

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

Their papers

• Baselines and a datasheet for the Cerema AWP dataset (2018) — 12 citations
• Training Invariant Support Vector Machines using Selective Sampling (2005)