Andres Perez-Lopez

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it
• Signal Processing — 6 citations into it

Whom Andres Perez-Lopez trusts overall

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

1. Sergey Ioffe
2. Eduardo Fonseca
3. Geoffrey E. Hinton
4. Sharath Adavanne
5. Nitish Srivastava
6. Christian Szegedy
7. Hongyi Zhang
8. Emre Çakir
9. Alex Krizhevsky
10. Andrew G. Howard

Papers from Andres Perez-Lopez's perspective

Ordered by how strongly the researchers Andres Perez-Lopez trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
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. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Dropout: a simple way to prevent neural networks from overfitting
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A Hybrid Parametric-Deep Learning Approach for Sound Event Localization and Detection (2019) — 6 citations