Paolo Tamagnini
Artificial Intelligence · 2017
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
- Artificial Intelligence — 10 citations into it; #27,166 of 35,345 by trust here, #26,682 by citations
- Computer Vision and Pattern Recognition — 10 citations into it; #16,628 of 21,575 by trust here, #17,258 by citations
- Safety, Robustness & Interpretability — 7 citations into it
Whom Paolo Tamagnini trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David Martens
- Josua Krause
- Marco Tulio Ribeiro
- Minsuk Kahng
- Trevor J. Hastie
- Mengchen Liu
- Adam Perer
- Foster J. Provost
- Leo Breiman
- Alex Alves Freitas
Who trusts Paolo Tamagnini overall
Papers from Paolo Tamagnini's perspective
Ordered by how strongly the researchers Paolo Tamagnini trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Random Forests
- Gradient-based learning applied to document recognition
- Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
- Learning Multiple Layers of Features from Tiny Images
- Et al
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Their papers
- Interpreting Black-Box Classifiers Using Instance-Level Visual Explanations (2017) — 74 citations