Kyle Doherty

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 69 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it
• Generative Models — 21 citations into it
• Artificial Intelligence — 18 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Kyle Doherty trusts overall

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

1. Prafulla Dhariwal
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Jia Deng
5. Alex Nichol
6. Alex Krizhevsky
7. Jonathan Ho
8. Kaiming He
9. Andrew Zisserman
10. Yoshua Bengio

Papers from Kyle Doherty's perspective

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

Their papers

• Effective Data Augmentation With Diffusion Models (2023) — 415 citations