Marc-Etienne Brunet

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it; #32,327 of 35,345 by trust here, #16,166 by citations
• Safety, Robustness & Interpretability — 10 citations into it; #2,025 of 2,251 by trust here, #1,404 by citations
• Natural Language Processing — 9 citations into it

Whom Marc-Etienne Brunet trusts overall

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

1. Tomas Mikolov
2. Pang Wei Koh
3. A. Greenwald
4. Naman Agarwal
5. Aylin Caliskan
6. Percy Liang
7. Latanya Sweeney
8. Geoffrey E. Hinton
9. Yoshua Bengio
10. Kai Chen

Who trusts Marc-Etienne Brunet overall

1. Andrew Silva
2. Ninareh Mehrabi
3. Samyadeep Basu
4. Thomas Hellström
5. Alexander Warnecke
6. Davinder Kaur
7. Orestis Papakyriakopoulos
8. Dana Pessach
9. Hongge Chen
10. Phillip E. Pope

Papers from Marc-Etienne Brunet's perspective

Ordered by how strongly the researchers Marc-Etienne Brunet 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. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. GloVe: Global Vectors for Word Representation
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Understanding the Origins of Bias in Word Embeddings (2018) — 226 citations