Franccois Fleuret Idiap Research Institute

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Optimization & Training — 16 citations into it

Whom Franccois Fleuret Idiap Research Institute trusts

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

1. Diederik P. Kingma (in Artificial Intelligence)
2. Jimmy Ba (in Artificial Intelligence)

Papers from Franccois Fleuret Idiap Research Institute's perspective

Ordered by how strongly the researchers Franccois Fleuret Idiap Research Institute trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
4. ImageNet classification with deep convolutional neural networks
5. A Stochastic Approximation Method
6. Gradient-based learning applied to document recognition
7. Decoupled Weight Decay Regularization
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Long Short-Term Memory

Their papers

• Optimizer Benchmarking Needs to Account for Hyperparameter Tuning (2019) — 62 citations