Ilaria Liccardi

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it
• Safety, Robustness & Interpretability — 33 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Ilaria Liccardi trusts overall

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

1. Geoffrey E. Hinton
2. Pieter-Jan Kindermans
3. Alex Krizhevsky
4. Lorrie Faith Cranor
5. Aditya Khosla
6. Chih-Kuan Yeh
7. Bolei Zhou
8. Yoshua Bengio
9. Karen Simonyan
10. Andrew Zisserman

Who trusts Ilaria Liccardi overall

1. Arunesh Mathur

Papers from Ilaria Liccardi's perspective

Ordered by how strongly the researchers Ilaria Liccardi trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. ImageNet Large Scale Visual Recognition Challenge
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Dark Patterns after the GDPR: Scraping Consent Pop-ups and Demonstrating their Influence (2020) — 486 citations
• Debugging Tests for Model Explanations (2020) — 208 citations