Yael Vinker

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it

Whom Yael Vinker trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Alex Krizhevsky
4. Kaiming He
5. Yoshua Bengio
6. Rinon Gal
7. Ilya Sutskever
8. Yann LeCun
9. Tsung-Yi Lin
10. Alec Radford

Papers from Yael Vinker's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Microsoft COCO: Common Objects in Context
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models (2023) — 864 citations