Toshimitsu Uesaka

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it
• Generative Models — 30 citations into it
• Statistical and Nonlinear Physics — 16 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it

Whom Toshimitsu Uesaka trusts overall

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

1. Yang Song
2. Alex Krizhevsky
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Pascal Vincent

Papers from Toshimitsu Uesaka's perspective

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

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

Their papers

• Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion (2023) — 438 citations