Benjamin Burchfiel

Artificial Intelligence · 2023–2024

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 48 citations into it; #32,934 of 35,345 by trust here, #14,438 by citations
• Computer Vision and Pattern Recognition — 41 citations into it
• Generative Models — 10 citations into it
• Optimization & Training — 5 citations into it

Whom Benjamin Burchfiel trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Alex Krizhevsky

Who trusts Benjamin Burchfiel overall

1. Chelsea Finn

Papers from Benjamin Burchfiel's perspective

Ordered by how strongly the researchers Benjamin Burchfiel 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. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
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

• Diffusion policy: Visuomotor policy learning via action diffusion (2023) — 3,739 citations
• Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots (2024) — 610 citations