Manon Romain

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it
• Generative Models — 15 citations into it

Whom Manon Romain trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Alec Radford
4. Jeff Donahue
5. Diederik P. Kingma
6. Yoshua Bengio
7. Bernhard Schölkopf
8. Yann LeCun
9. Chong Zhou
10. Tim Salimans

Who trusts Manon Romain overall

1. Guansong Pang
2. Chunhua Shen

Papers from Manon Romain's perspective

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

Their papers

• Adversarially Learned Anomaly Detection (2018) — 460 citations