Agostina J. Larrazabal
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it
- Computer Vision and Pattern Recognition — 11 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Agostina J. Larrazabal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tom Fawcett
- Kaiming He
- Christian Szegedy
- Jia Deng
- Gao Huang
- Geoffrey E. Hinton
- Yann LeCun
- X. Zhang
- Alex Krizhevsky
- Yoshua Bengio
Who trusts Agostina J. Larrazabal overall
Papers from Agostina J. Larrazabal's perspective
Ordered by how strongly the researchers Agostina J. Larrazabal trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)