Sigal Raab

Computer Vision and Pattern Recognition · 2022

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

• Computer Vision and Pattern Recognition — 30 citations into it
• Control and Systems Engineering — 14 citations into it
• Generative Models — 14 citations into it
• Statistical and Nonlinear Physics — 6 citations into it

Whom Sigal Raab trusts overall

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

1. Jonathan Ho
2. Diederik P. Kingma
3. Prafulla Dhariwal
4. Geoffrey E. Hinton
5. Mathis Petrovich
6. Yoshua Bengio
7. Alex Nichol
8. Alex Krizhevsky
9. Jascha Narain Sohl-Dickstein
10. Yang Song

Who trusts Sigal Raab overall

1. Roberto Gozalo-Brizuela
2. Biao Jiang
3. Xin Chen
4. Jo-Han Tseng

Papers from Sigal Raab's perspective

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

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

Their papers

• Human Motion Diffusion Model (2022) — 1,358 citations