Stephane T Aroca-Ouellette
Artificial Intelligence · 2021
A researcher in the Science corpus: 2 papers; trusts 108 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 68 citations into it
- Natural Language Processing — 38 citations into it
- Computer Vision and Pattern Recognition — 37 citations into it
- Evaluation & Benchmarks — 20 citations into it
- Cognitive Neuroscience — 16 citations into it
- Model Architectures — 9 citations into it
Whom Stephane T Aroca-Ouellette trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Kaiming He
- Yoshua Bengio
- Alex Krizhevsky
- Ilya Sutskever
- Yann LeCun
- Jimmy Ba
- Alex Graves
- Ashish Vaswani
Who trusts Stephane T Aroca-Ouellette overall
Papers from Stephane T Aroca-Ouellette's perspective
Ordered by how strongly the researchers Stephane T Aroca-Ouellette trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- BENDR: Using Transformers and a Contrastive Self-Supervised Learning Task to Learn From Massive Amounts of EEG Data (2021) — 368 citations
- PROST: Physical Reasoning about Objects through Space and Time (2021) — 57 citations