Yuval Belfer

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Scaling & Learning Theory — 12 citations into it
• Model Architectures — 10 citations into it
• Statistical Learning Theory — 6 citations into it

Whom Yuval Belfer trusts overall

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

1. Sanjeev Arora
2. Ronen Basri
3. Kaiming He
4. Simon Shaolei Du
5. Alberto Bietti
6. Lili Su
7. Lin Chen
8. Arthur Jacot
9. Amnon Geifman
10. Geoffrey E. Hinton

Papers from Yuval Belfer's perspective

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

Their papers

• Spectral Analysis of the Neural Tangent Kernel for Deep Residual Networks (2021) — 25 citations