Kevin Clark

Computer Vision and Pattern Recognition · with Fleet · 2023

A researcher in the Science corpus: 1 paper; trusts 47 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 40 citations into it
• Artificial Intelligence — 29 citations into it
• Generative Models — 18 citations into it
• Statistical and Nonlinear Physics — 8 citations into it

Whom Kevin Clark trusts overall

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

1. Jonathan Ho
2. Diederik P. Kingma
3. Yang Song
4. Prafulla Dhariwal
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Yoshua Bengio
8. Kaiming He
9. Alex Nichol
10. Ilya Sutskever

Who trusts Kevin Clark overall

1. Bram Wallace

Papers from Kevin Clark's perspective

Ordered by how strongly the researchers Kevin Clark 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. 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

• Directly Fine-Tuning Diffusion Models on Differentiable Rewards (2023) — 432 citations