Benedetto Buratti

Optimization & Training · 2019

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

Subfields

• Optimization & Training — 9 citations into it

Whom Benedetto Buratti trusts overall

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

1. Frank Hutter
2. Matthias Feurer
3. Richard S. Sutton
4. James Bergstra

Papers from Benedetto Buratti's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Reinforcement Learning: An Introduction
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Learning Multiple Layers of Features from Tiny Images
5. Gradient-based learning applied to document recognition
6. Random Search for Hyper-Parameter Optimization
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Democratizing Data Science through Interactive Curation of ML Pipelines (2019) — 107 citations