Álvaro Parafita
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 11 citations into it; #24,723 of 35,345 by trust here, #31,361 by citations
- Computer Vision and Pattern Recognition — 8 citations into it; #15,306 of 21,575 by trust here, #19,766 by citations
- Safety, Robustness & Interpretability — 6 citations into it
- Generative Models — 5 citations into it
Whom Álvaro Parafita trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Mukund Sundararajan
- Peter M. Bentler
- Murat Kocaoglu
- Max Welling
- Geoffrey E. Hinton
- Matthew D. Zeiler
- Zachary Chase Lipton
- Yoshua Bengio
- Ankur Taly
Who trusts Álvaro Parafita overall
Papers from Álvaro Parafita's perspective
Ordered by how strongly the researchers Álvaro Parafita 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
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Explaining Visual Models by Causal Attribution (2019) — 39 citations