Dylan M. Paiton

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it
• Representation & Self-Supervised Learning — 32 citations into it
• Artificial Intelligence — 22 citations into it
• Generative Models — 9 citations into it
• Signal Processing — 8 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it

Whom Dylan M. Paiton trusts overall

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

1. Aapo Hyvärinen
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Yoshua Bengio
5. Yann LeCun

Papers from Dylan M. Paiton's perspective

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

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

Their papers

• Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding (2020) — 160 citations