Cheng Chi

Artificial Intelligence · with Burchfiel · 2023

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it; #32,931 of 35,345 by trust here, #14,438 by citations
• Computer Vision and Pattern Recognition — 28 citations into it
• Generative Models — 10 citations into it

Whom Cheng Chi 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
5. Yoshua Bengio
6. Yann LeCun
7. Ilya Sutskever
8. Radford M. Neal
9. Ross B. Girshick
10. Yang Song

Who trusts Cheng Chi overall

1. Zipeng Fu
2. Moo Jin Kim
3. Chelsea Finn
4. Kevin Black
5. Qingqing Zhao
6. Ajay Kumar Sridhar
7. Ajay Mandlekar
8. Songming Liu
9. Tairan He
10. Hongtao Wu

Papers from Cheng Chi's perspective

Ordered by how strongly the researchers Cheng Chi 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. 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. 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