Timothee Mickus

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 52 citations into it
• Natural Language Processing — 43 citations into it
• Representation & Self-Supervised Learning — 25 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Evaluation & Benchmarks — 7 citations into it

Whom Timothee Mickus trusts overall

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

1. Tomas Mikolov
2. Omer Levy
3. Yoshua Bengio
4. Tal Linzen
5. Geoffrey E. Hinton
6. Diederik P. Kingma
7. Ilya Sutskever
8. Alex Krizhevsky
9. Yoav Goldberg
10. Marco Baroni

Papers from Timothee Mickus's perspective

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

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

Their papers

• What do you mean, BERT? Assessing BERT as a Distributional Semantics Model (2019) — 49 citations
• Distributional Effects of Gender Contrasts Across Categories (2019) — 15 citations