Francis Dutil
Computer Vision and Pattern Recognition · 2016–2019
A researcher in the Science corpus: 3 papers; trusts 98 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 59 citations into it
- Generative Models — 46 citations into it
- Artificial Intelligence — 42 citations into it
- Natural Language Processing — 19 citations into it
- Model Architectures — 16 citations into it
- Optimization & Training — 11 citations into it
- Evaluation & Benchmarks — 8 citations into it
Whom Francis Dutil trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Diederik P. Kingma
- Ronald J. Williams
- Geoffrey E. Hinton
- Yann LeCun
- Ilya Sutskever
- Alex Krizhevsky
- Kaiming He
- Alex Graves
- Ruslan Salakhutdinov
Papers from Francis Dutil's perspective
Ordered by how strongly the researchers Francis Dutil 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
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- GENERATIVE ADVERSARIAL NETS
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Adversarial Generation of Natural Language (2017) — 210 citations
- Dual Adversarial Inference for Text-to-Image Synthesis (2019) — 40 citations
- ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI (2016) — 525 citations