Adrien Bibal

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Safety, Robustness & Interpretability — 12 citations into it
• Information Systems — 7 citations into it

Whom Adrien Bibal trusts overall

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

1. Berk Ustun
2. Alex Alves Freitas
3. Stefan Rüping
4. Robert Tibshirani
5. Cynthia Rudin
6. Karen Simonyan
7. Trevor J. Hastie
8. Parag Singla
9. Stefano Tracà
10. Leo Breiman

Who trusts Adrien Bibal overall

1. Lucy R. Chai
2. Giulia Vilone
3. D. V. Carvalho
4. Longo Luca
5. Jessica Morley
6. Eduardo Marques Pereira
7. Michael Lognoul
8. Jaime S. Cardoso
9. Alexandre de Streel

Papers from Adrien Bibal's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Legal requirements on explainability in machine learning (2020) — 138 citations
• Interpretability of machine learning models and representations: an introduction (2016) — 119 citations