Claudia Shi
Artificial Intelligence · 2019–2023
A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 107 citations into it
- Computer Vision and Pattern Recognition — 14 citations into it
- Statistics and Probability — 13 citations into it; #7,981 of 12,932 by trust here, #9,714 by citations
- Causal Inference & Discovery — 10 citations into it
- Management Science and Operations Research — 6 citations into it
Whom Claudia Shi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- M. J. van der Laan
- Ross B. Girshick
- Uri Shalit
- Max H. Farrell
- Geoffrey E. Hinton
- Jeff Donahue
- Diederik P. Kingma
- Alex Krizhevsky
- Fredrik D. Johansson
- Yoshua Bengio
Who trusts Claudia Shi overall
Papers from Claudia Shi's perspective
Ordered by how strongly the researchers Claudia Shi trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Adapting Neural Networks for the Estimation of Treatment Effects (2019) — 503 citations
- Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback (2023) — 934 citations