Benjamin Wright

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Computational Mechanics — 6 citations into it
• Optimization & Training — 6 citations into it

Whom Benjamin Wright trusts overall

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

1. Yuanzhi Li
2. Susan M. Barnett
3. Arthur Jacot
4. Nathan Halko
5. Jaehoon Lee
6. Yingyu Liang
7. S. Ceci
8. Per-Gunnar Martinsson
9. Franck Gabriel
10. Navid Azizan

Papers from Benjamin Wright's perspective

Ordered by how strongly the researchers Benjamin Wright 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. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Learning Multiple Layers of Features from Tiny Images
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• SketchOGD: Memory-Efficient Continual Learning (2023)